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Upload llm-df.csv with huggingface_hub

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@@ -1,32 +1,32 @@
1
  T,Model,Average ⬆️,IFEval,IFEval Raw,BBH,BBH Raw,MATH Lvl 5,MATH Lvl 5 Raw,GPQA,GPQA Raw,MUSR,MUSR Raw,MMLU-PRO,MMLU-PRO Raw,Type,Architecture,Weight type,Precision,Not_Merged,Hub License,#Params (B),Hub ❀️,Available on the hub,Model sha,Flagged,MoE,Submission Date,Upload To Hub Date,Chat Template,Maintainer's Highlight
2
- πŸ’¬,MaziyarPanahi/Qwen2-72B-Instruct-v0.1,43.61,81.63,0.82,57.33,0.7,36.03,0.36,17.45,0.38,20.15,0.47,49.05,0.54,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",Qwen2ForCausalLM,Original,bfloat16,True,other,72,1,True,0369c39770f45f2464587918f2dbdb8449ea3a0d,True,True,2024-06-26,2024-06-08,True,False
3
- πŸ’¬,Qwen/Qwen2-72B-Instruct,42.49,79.89,0.8,57.48,0.7,35.12,0.35,16.33,0.37,17.17,0.46,48.92,0.54,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",Qwen2ForCausalLM,Original,bfloat16,True,other,72,547,True,1af63c698f59c4235668ec9c1395468cb7cd7e79,True,True,2024-06-26,2024-05-28,False,True
4
  πŸ”Ά,pankajmathur/orca_mini_v7_72b,39.06,59.3,0.59,55.06,0.68,26.44,0.26,18.01,0.39,24.21,0.51,51.35,0.56,πŸ”Ά fine-tuned on domain-specific datasets,Qwen2ForCausalLM,Original,bfloat16,True,apache-2.0,72,4,True,447f11912cfa496e32e188a55214043a05760d3a,True,True,2024-06-26,2024-06-26,False,False
5
- πŸ’¬,MaziyarPanahi/Llama-3-70B-Instruct-DPO-v0.2,37.98,82.08,0.82,48.57,0.64,22.96,0.23,12.19,0.34,15.3,0.44,46.74,0.52,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",LlamaForCausalLM,Original,bfloat16,True,llama3,70,12,True,95366b974baedee4d95c1e841bc3d15e94753804,True,True,2024-06-26,2024-04-27,True,False
6
- πŸ’¬,meta-llama/Meta-Llama-3-70B-Instruct,36.18,80.99,0.81,50.19,0.65,23.34,0.23,4.92,0.29,10.92,0.42,46.74,0.52,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",LlamaForCausalLM,Original,bfloat16,True,llama3,70,1317,True,7129260dd854a80eb10ace5f61c20324b472b31c,True,True,2024-06-12,2024-04-17,True,True
7
  πŸ”Ά,Sao10K/L3-70B-Euryale-v2.1,35.35,73.84,0.74,48.7,0.65,20.85,0.21,10.85,0.33,12.25,0.42,45.6,0.51,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,bfloat16,True,cc-by-nc-4.0,70,86,True,36ad832b771cd783ea7ad00ed39e61f679b1a7c6,True,True,2024-07-01,2024-06-11,True,False
8
- πŸ”Ά,migtissera/Llama-3-70B-Synthia-v3.5,35.2,60.76,0.61,49.12,0.65,18.96,0.19,18.34,0.39,23.39,0.49,40.65,0.47,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,float16,True,llama3,70,6,True,8744db0bccfc18f1847633da9d29fc89b35b4190,True,True,2024-06-26,2024-05-26,True,False
9
- 🟒,Qwen/Qwen2-72B,35.13,38.24,0.38,51.86,0.66,29.15,0.29,19.24,0.39,19.73,0.47,52.56,0.57,🟒 pretrained,Qwen2ForCausalLM,Original,bfloat16,True,other,72,155,True,87993795c78576318087f70b43fbf530eb7789e7,True,True,2024-06-26,2024-05-22,False,True
10
  πŸ”Ά,Sao10K/L3-70B-Euryale-v2.1,35.11,72.81,0.73,49.19,0.65,20.24,0.2,10.85,0.33,12.05,0.42,45.51,0.51,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,float16,True,cc-by-nc-4.0,70,86,True,36ad832b771cd783ea7ad00ed39e61f679b1a7c6,True,True,2024-06-26,2024-06-11,True,False
11
- πŸ’¬,mistralai/Mixtral-8x22B-Instruct-v0.1,33.89,71.84,0.72,44.11,0.61,18.73,0.19,16.44,0.37,13.49,0.43,38.7,0.45,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",MixtralForCausalLM,Original,bfloat16,True,apache-2.0,140,625,True,b0c3516041d014f640267b14feb4e9a84c8e8c71,True,False,2024-06-12,2024-04-16,True,True
12
  πŸ’¬,HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1,33.77,65.11,0.65,47.5,0.63,18.35,0.18,17.11,0.38,14.72,0.45,39.85,0.46,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",MixtralForCausalLM,Original,float16,True,apache-2.0,140,254,True,a3be084543d278e61b64cd600f28157afc79ffd3,True,True,2024-06-12,2024-04-10,True,True
13
- πŸ”Ά,migtissera/Tess-v2.5.2-Qwen2-72B,33.28,44.94,0.45,52.31,0.66,27.42,0.27,13.42,0.35,10.89,0.42,50.68,0.56,πŸ”Ά fine-tuned on domain-specific datasets,Qwen2ForCausalLM,Original,bfloat16,True,other,72,10,True,0435e634ad9bc8b1172395a535b78e6f25f3594f,True,True,2024-07-01,2024-06-13,True,False
14
  πŸ’¬,microsoft/Phi-3-medium-4k-instruct,32.67,64.23,0.64,49.38,0.64,16.99,0.17,11.52,0.34,13.05,0.43,40.84,0.47,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",Phi3ForCausalLM,Original,bfloat16,True,mit,13,175,True,d194e4e74ffad5a5e193e26af25bcfc80c7f1ffc,True,True,2024-06-12,2024-05-07,True,True
15
- πŸ’¬,01-ai/Yi-1.5-34B-Chat,32.63,60.67,0.61,44.26,0.61,23.34,0.23,15.32,0.36,13.06,0.43,39.12,0.45,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",LlamaForCausalLM,Original,bfloat16,True,apache-2.0,34,201,True,f3128b2d02d82989daae566c0a7eadc621ca3254,True,True,2024-06-12,2024-05-10,True,True
16
  πŸ”Ά,alpindale/WizardLM-2-8x22B,32.61,52.72,0.53,48.58,0.64,22.28,0.22,17.56,0.38,14.54,0.44,39.96,0.46,πŸ”Ά fine-tuned on domain-specific datasets,MixtralForCausalLM,Original,bfloat16,True,apache-2.0,140,362,True,087834da175523cffd66a7e19583725e798c1b4f,True,True,2024-06-28,2024-04-16,False,False
17
  πŸ’¬,MaziyarPanahi/Llama-3-70B-Instruct-DPO-v0.4,32.18,50.27,0.5,48.4,0.64,22.66,0.23,11.97,0.34,13.1,0.43,46.71,0.52,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",LlamaForCausalLM,Original,bfloat16,True,llama3,70,10,True,cb03e4d810b82d86e7cb01ab146bade09a5d06d1,True,True,2024-06-26,2024-04-28,True,False
18
  πŸ’¬,cognitivecomputations/dolphin-2.9.2-qwen2-72b,32.0,40.38,0.4,47.7,0.63,21.37,0.21,16.0,0.37,17.04,0.45,49.52,0.55,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",Qwen2ForCausalLM,Original,bfloat16,True,other,72,46,True,e79582577c2bf2af304221af0e8308b7e7d46ca1,True,True,2024-06-27,2024-05-27,True,True
19
  πŸ’¬,MTSAIR/MultiVerse_70B,31.73,52.49,0.52,46.14,0.62,16.16,0.16,13.87,0.35,18.82,0.47,42.89,0.49,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",LlamaForCausalLM,Original,bfloat16,True,other,72,37,True,063430cdc4d972a0884e3e3e3d45ea4afbdf71a2,True,True,2024-06-29,2024-03-25,False,False
20
- πŸ’¬,CohereForAI/c4ai-command-r-plus,30.86,76.64,0.77,39.92,0.58,7.55,0.08,7.38,0.31,20.42,0.48,33.24,0.4,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",CohereForCausalLM,Original,float16,True,cc-by-nc-4.0,103,1580,True,fa1bd7fb1572ceb861bbbbecfa8af83b29fa8cca,True,True,2024-06-13,2024-04-03,True,True
21
- πŸ’¬,internlm/internlm2_5-7b-chat,30.46,61.4,0.61,57.67,0.71,8.31,0.08,10.63,0.33,14.35,0.44,30.42,0.37,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",InternLM2ForCausalLM,Original,float16,True,other,7,94,True,bebb00121ee105b823647c3ba2b1e152652edc33,True,True,2024-07-03,2024-06-27,True,True
22
  🟒,Qwen/Qwen1.5-110B,29.56,34.22,0.34,44.28,0.61,23.04,0.23,13.65,0.35,13.71,0.44,48.45,0.54,🟒 pretrained,Qwen2ForCausalLM,Original,bfloat16,True,other,111,87,True,16659038ecdcc771c1293cf47020fa7cc2750ee8,True,True,2024-06-13,2024-04-25,False,True
23
  πŸ”Ά,abacusai/Smaug-72B-v0.1,29.56,51.7,0.52,42.42,0.59,17.75,0.18,9.62,0.32,15.39,0.45,40.46,0.46,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,bfloat16,True,other,72,460,True,a1d657156f82c24b670158406378648233487011,True,True,2024-06-12,2024-02-02,False,True
24
  πŸ’¬,Qwen/Qwen1.5-110B-Chat,29.22,59.39,0.59,44.98,0.62,0.0,0.0,12.19,0.34,16.29,0.45,42.5,0.48,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",Qwen2ForCausalLM,Original,bfloat16,True,other,111,117,True,85f86cec25901f2dbd870a86e06756903c9a876a,True,True,2024-06-12,2024-04-25,True,True
25
- πŸ’¬,01-ai/Yi-1.5-34B-Chat-16K,28.98,45.64,0.46,44.54,0.61,18.81,0.19,11.74,0.34,13.74,0.44,39.38,0.45,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",LlamaForCausalLM,Original,bfloat16,True,apache-2.0,34,23,True,ff74452e11f0f749ab872dc19b1dd3813c25c4d8,True,True,2024-07-15,2024-05-15,True,True
26
  πŸ’¬,microsoft/Phi-3-small-128k-instruct,28.75,63.44,0.63,45.57,0.62,0.0,0.0,9.84,0.32,14.7,0.44,38.94,0.45,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",Phi3SmallForCausalLM,Original,bfloat16,True,mit,7,142,True,f80aaa30bfc64c2b8ab214b541d9050e97163bc4,True,True,2024-06-13,2024-05-07,True,True
27
  πŸ’¬,Azure99/blossom-v5.1-34b,28.36,56.97,0.57,44.13,0.61,14.43,0.14,7.94,0.31,7.3,0.39,39.4,0.45,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",LlamaForCausalLM,Original,bfloat16,True,apache-2.0,34,2,True,2c803204f5dbf4ce37e2df98eb0205cdc53de10d,True,True,2024-07-01,2024-05-19,True,False
28
  πŸ’¬,01-ai/Yi-1.5-9B-Chat,27.71,60.46,0.6,36.95,0.56,11.63,0.12,11.3,0.33,12.84,0.43,33.06,0.4,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",LlamaForCausalLM,Original,bfloat16,True,apache-2.0,8,113,True,bc87d8557c98dc1e5fdef6ec23ed31088c4d3f35,True,True,2024-06-12,2024-05-10,True,True
29
- πŸ’¬,microsoft/Phi-3-mini-4k-instruct,27.2,54.77,0.55,36.56,0.55,14.2,0.14,10.96,0.33,13.12,0.43,33.58,0.4,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",Phi3ForCausalLM,Original,float16,True,mit,3,874,True,c1358f8a35e6d2af81890deffbbfa575b978c62f,True,True,2024-07-02,2024-04-22,True,True
30
  πŸ’¬,Qwen/Qwen1.5-32B-Chat,27.1,55.32,0.55,44.55,0.61,6.65,0.07,7.49,0.31,10.2,0.42,38.41,0.45,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",Qwen2ForCausalLM,Original,bfloat16,True,other,32,103,True,0997b012af6ddd5465d40465a8415535b2f06cfc,True,True,2024-06-12,2024-04-03,True,True
31
  πŸ’¬,NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO,26.95,58.7,0.59,37.17,0.55,10.27,0.1,9.62,0.32,16.28,0.46,29.63,0.37,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",MixtralForCausalLM,Original,bfloat16,True,apache-2.0,46,396,True,286ae6737d048ad1d965c2e830864df02db50f2f,True,False,2024-06-12,2024-01-11,True,True
32
  πŸ’¬,deepseek-ai/deepseek-llm-67b-chat,26.87,55.87,0.56,33.23,0.52,6.65,0.07,8.84,0.32,23.93,0.51,32.71,0.39,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",LlamaForCausalLM,Original,bfloat16,True,other,67,171,True,79648bef7658bb824e4630740f6e1484c1b0620b,True,True,2024-06-12,2023-11-29,True,True
@@ -34,48 +34,50 @@ T,Model,Average ⬆️,IFEval,IFEval Raw,BBH,BBH Raw,MATH Lvl 5,MATH Lvl 5 Raw,G
34
  🟒,Qwen/Qwen1.5-32B,26.69,32.97,0.33,38.98,0.57,26.66,0.27,10.63,0.33,12.04,0.43,38.89,0.45,🟒 pretrained,Qwen2ForCausalLM,Original,bfloat16,True,other,32,77,True,cefef80dc06a65f89d1d71d0adbc56d335ca2490,True,True,2024-06-13,2024-04-01,False,True
35
  πŸ”Ά,MaziyarPanahi/Llama-3-8B-Instruct-v0.10,26.66,76.67,0.77,27.92,0.49,4.91,0.05,7.83,0.31,10.81,0.42,31.8,0.39,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,bfloat16,True,other,8,2,True,4411eb9f6f5e4c462a6bdbc64c26dcc123100b66,True,True,2024-06-26,2024-06-04,True,False
36
  🟒,01-ai/Yi-1.5-34B-32K,26.4,31.19,0.31,43.38,0.6,13.44,0.13,15.1,0.36,14.08,0.44,41.21,0.47,🟒 pretrained,LlamaForCausalLM,Original,bfloat16,True,apache-2.0,34,34,True,2c03a29761e4174f20347a60fbe229be4383d48b,True,True,2024-06-12,2024-05-15,False,True
37
- 🟒,meta-llama/Meta-Llama-3-70B,26.37,16.03,0.16,48.71,0.65,16.54,0.17,19.69,0.4,16.01,0.45,41.21,0.47,🟒 pretrained,LlamaForCausalLM,Original,bfloat16,True,llama3,70,774,True,b4d08b7db49d488da3ac49adf25a6b9ac01ae338,True,True,2024-06-12,2024-04-17,False,True
38
- πŸ’¬,microsoft/Phi-3-mini-4k-instruct,25.97,56.13,0.56,39.27,0.57,11.63,0.12,9.28,0.32,7.64,0.4,31.85,0.39,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",Phi3ForCausalLM,Original,bfloat16,True,mit,3,874,True,ff07dc01615f8113924aed013115ab2abd32115b,True,True,2024-06-12,2024-04-22,True,True
39
- πŸ”Ά,Sao10K/L3-8B-Stheno-v3.2,25.76,68.73,0.69,32.02,0.52,8.53,0.09,8.05,0.31,6.45,0.38,30.76,0.38,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,bfloat16,True,cc-by-nc-4.0,8,170,True,4bb828f6e1b1efd648c39b1ad682c44ff260f018,True,True,2024-06-30,2024-06-05,True,False
40
  πŸ”Ά,Nitral-AI/Hathor_Stable-v0.2-L3-8B,25.7,71.75,0.72,32.83,0.53,9.21,0.09,4.92,0.29,5.56,0.38,29.96,0.37,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,bfloat16,True,other,8,38,True,1c9f391c3e349f8ba51b5696290ee6db6a2b63fd,True,True,2024-07-02,2024-06-09,True,False
41
  πŸ”Ά,cognitivecomputations/dolphin-2.9.2-Phi-3-Medium-abliterated,25.59,36.13,0.36,45.44,0.61,12.39,0.12,10.4,0.33,10.36,0.41,38.82,0.45,πŸ”Ά fine-tuned on domain-specific datasets,MistralForCausalLM,Original,float16,True,mit,13,12,True,d50be5f22ca9745a2a3175996611d6a840318b7f,True,True,2024-06-27,2024-06-03,False,True
42
  🟒,mistral-community/mixtral-8x22B-v0.3,25.55,25.83,0.26,45.73,0.63,16.84,0.17,17.0,0.38,7.46,0.4,40.44,0.46,🟒 pretrained,MixtralForCausalLM,Original,bfloat16,True,apache-2.0,140,3,True,211b177b79ab5ef245ee334d106c27623e786882,True,False,2024-06-13,2024-05-25,False,True
43
- 🟒,mistralai/Mixtral-8x22B-v0.1,25.49,25.83,0.26,45.59,0.62,16.84,0.17,16.78,0.38,7.46,0.4,40.44,0.46,🟒 pretrained,MixtralForCausalLM,Original,bfloat16,True,apache-2.0,140,170,True,b03e260818710044a2f088d88fab12bb220884fb,True,False,2024-06-12,2024-04-16,False,True
44
- πŸ’¬,microsoft/Phi-3-mini-128k-instruct,25.49,59.76,0.6,37.1,0.56,8.91,0.09,9.06,0.32,7.71,0.39,30.38,0.37,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",Phi3ForCausalLM,Original,bfloat16,True,mit,3,1479,True,5be6479b4bc06a081e8f4c6ece294241ccd32dec,True,True,2024-06-12,2024-04-22,True,True
45
  🟒,01-ai/Yi-1.5-34B,25.43,28.41,0.28,42.75,0.6,14.05,0.14,15.44,0.37,11.22,0.42,40.73,0.47,🟒 pretrained,LlamaForCausalLM,Original,bfloat16,True,apache-2.0,34,44,True,4b486f81c935a2dadde84c6baa1e1370d40a098f,True,True,2024-06-12,2024-05-11,False,True
46
  πŸ’¬,CohereForAI/c4ai-command-r-v01,25.35,67.48,0.67,34.56,0.54,0.0,0.0,7.61,0.31,16.13,0.45,26.33,0.34,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",CohereForCausalLM,Original,float16,True,cc-by-nc-4.0,34,1033,True,16881ccde1c68bbc7041280e6a66637bc46bfe88,True,True,2024-06-13,2024-03-11,True,True
47
  πŸ”Ά,pankajmathur/orca_mini_v3_70b,25.26,40.15,0.4,42.98,0.59,3.63,0.04,9.06,0.32,25.12,0.51,30.64,0.38,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,bfloat16,True,other,70,23,True,e8e856dfb5c737d1906b50f9e65fd3a4f8d77422,True,True,2024-06-26,2023-08-10,False,False
48
- πŸ’¬,databricks/dbrx-instruct,25.2,54.16,0.54,35.96,0.54,6.87,0.07,12.19,0.34,12.2,0.43,29.81,0.37,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",DbrxForCausalLM,Original,bfloat16,True,other,131,1090,True,c0a9245908c187da8f43a81e538e67ff360904ea,True,True,2024-06-12,2024-03-26,True,True
49
  🟒,Qwen/Qwen2-57B-A14B,25.03,31.13,0.31,38.88,0.56,18.66,0.19,7.49,0.31,10.54,0.42,43.51,0.49,🟒 pretrained,Qwen2MoeForCausalLM,Original,bfloat16,True,apache-2.0,57,41,True,973e466c39ba76372a2ae464dbca0af3f5a5a2a9,True,False,2024-06-13,2024-05-22,False,True
50
  πŸ”Ά,jpacifico/Chocolatine-3B-Instruct-DPO-v1.0,25.0,37.37,0.37,36.55,0.55,15.26,0.15,8.72,0.32,19.47,0.48,32.63,0.39,πŸ”Ά fine-tuned on domain-specific datasets,Phi3ForCausalLM,Original,float16,True,apache-2.0,3,0,True,98d049b8f8c305cfba81adae498a95e6b5647d4a,True,True,2024-07-11,2024-07-11,False,False
51
- πŸ’¬,Qwen/Qwen2-7B-Instruct,24.76,56.79,0.57,37.81,0.55,8.61,0.09,6.38,0.3,7.37,0.39,31.64,0.38,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",Qwen2ForCausalLM,Original,bfloat16,True,apache-2.0,7,397,True,41c66b0be1c3081f13defc6bdf946c2ef240d6a6,True,True,2024-06-12,2024-06-04,True,True
52
  πŸ’¬,Azure99/blossom-v5.1-9b,24.69,50.86,0.51,34.2,0.53,10.5,0.1,11.41,0.34,8.02,0.4,33.16,0.4,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",LlamaForCausalLM,Original,bfloat16,True,apache-2.0,8,1,True,6044a3dc1e04529fe883aa513d37f266a320d793,True,True,2024-07-01,2024-05-15,True,False
53
  πŸ”Ά,NousResearch/Hermes-2-Theta-Llama-3-8B,24.62,65.18,0.65,32.05,0.52,8.69,0.09,7.16,0.3,8.36,0.39,26.32,0.34,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,bfloat16,True,apache-2.0,8,180,True,885173e97ab8572b444f7db1290d5d0386e26816,True,True,2024-07-11,2024-05-05,True,True
54
  πŸ’¬,CohereForAI/aya-23-35B,24.62,64.62,0.65,34.86,0.54,2.64,0.03,5.93,0.29,13.47,0.43,26.18,0.34,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",CohereForCausalLM,Original,float16,True,cc-by-nc-4.0,34,223,True,31d6fd858f20539a55401c7ad913086f54d9ca2c,True,True,2024-06-12,2024-05-19,True,True
55
  πŸ”Ά,ZeusLabs/L3-Aethora-15B-V2,24.57,72.08,0.72,28.97,0.5,7.33,0.07,5.03,0.29,6.25,0.39,27.78,0.35,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,bfloat16,True,cc-by-sa-4.0,15,35,True,2c601f116c37dd912c89357dbdbef879a637997e,True,True,2024-06-27,2024-06-27,True,False
56
  πŸ’¬,MaziyarPanahi/Phi-3-mini-4k-instruct-v0.1,24.51,55.25,0.55,38.12,0.56,4.31,0.04,10.63,0.33,8.26,0.4,30.51,0.37,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",Phi3ForCausalLM,Original,bfloat16,True,mit,3,1,True,6764c79badacba5fa3584d2d2593d762caa1d17d,True,True,2024-06-26,2024-05-09,True,False
57
- πŸ’¬,mistralai/Mixtral-8x7B-Instruct-v0.1,24.35,53.95,0.54,34.02,0.53,9.06,0.09,7.61,0.31,12.11,0.43,29.36,0.36,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",MixtralForCausalLM,Original,bfloat16,True,apache-2.0,46,3981,True,1e637f2d7cb0a9d6fb1922f305cb784995190a83,True,False,2024-06-12,2023-12-10,True,True
58
  πŸ’¬,argilla/notux-8x7b-v1,24.13,54.53,0.55,32.86,0.52,8.69,0.09,7.49,0.31,11.57,0.42,29.66,0.37,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",MixtralForCausalLM,Original,bfloat16,True,apache-2.0,46,163,True,0b29f9afcbae2ab4c5085638d8f5a7f6d44c6b17,True,False,2024-06-12,2023-12-12,True,True
 
59
  πŸ”Ά,Weyaxi/Einstein-v7-Qwen2-7B,24.01,41.0,0.41,32.84,0.52,15.18,0.15,6.6,0.3,14.06,0.44,34.4,0.41,πŸ”Ά fine-tuned on domain-specific datasets,Qwen2ForCausalLM,Original,bfloat16,True,other,7,30,True,d5a2f245bf98a40d196821bc378e10f35b4da81a,True,True,2024-06-26,2024-06-24,True,False
60
- πŸ’¬,vicgalle/Roleplay-Llama-3-8B,23.94,73.2,0.73,28.55,0.5,8.69,0.09,1.45,0.26,1.68,0.35,30.09,0.37,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",LlamaForCausalLM,Original,float16,True,apache-2.0,8,29,True,57297eb57dcc2c116f061d9dda341094203da01b,True,True,2024-06-26,2024-04-19,True,False
61
- πŸ’¬,meta-llama/Meta-Llama-3-8B-Instruct,23.91,74.08,0.74,28.24,0.5,8.69,0.09,1.23,0.26,1.6,0.36,29.6,0.37,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",LlamaForCausalLM,Original,bfloat16,True,llama3,8,3133,True,e1945c40cd546c78e41f1151f4db032b271faeaa,True,True,2024-06-12,2024-04-17,True,True
62
  πŸ’¬,01-ai/Yi-34B-Chat,23.9,46.99,0.47,37.62,0.56,4.31,0.04,11.74,0.34,8.36,0.4,34.37,0.41,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",LlamaForCausalLM,Original,bfloat16,True,apache-2.0,34,338,True,2e528b6a80fb064a0a746c5ca43114b135e30464,True,True,2024-06-12,2023-11-22,True,True
63
  πŸ’¬,abacusai/Smaug-34B-v0.1,23.76,50.16,0.5,34.26,0.54,0.0,0.0,10.63,0.33,8.13,0.4,39.37,0.45,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",LlamaForCausalLM,Original,bfloat16,True,apache-2.0,34,58,True,34d54c65a0247d5eb694973106c816d9c0ad3fc2,True,True,2024-06-12,2024-01-25,True,True
64
- 🟒,Qwen/Qwen2-7B,23.66,31.49,0.31,34.71,0.53,18.81,0.19,7.27,0.3,14.32,0.44,35.37,0.42,🟒 pretrained,Qwen2ForCausalLM,Original,bfloat16,True,apache-2.0,7,92,True,453ed1575b739b5b03ce3758b23befdb0967f40e,True,True,2024-06-09,2024-06-04,False,True
65
  πŸ’¬,NousResearch/Nous-Hermes-2-SOLAR-10.7B,23.32,52.79,0.53,34.99,0.54,5.21,0.05,5.82,0.29,13.83,0.44,27.31,0.35,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",LlamaForCausalLM,Original,bfloat16,True,apache-2.0,10,201,True,14c1fbe2f71acdcd58247b30d5439bd572d52386,True,True,2024-06-12,2024-01-01,True,True
66
  πŸ”Ά,UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3,23.31,68.28,0.68,29.74,0.51,7.33,0.07,2.01,0.27,3.09,0.37,29.38,0.36,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,bfloat16,True,apache-2.0,8,66,True,f73dafc2923acd56f115f21f76e9d14f8d19a63e,True,True,2024-07-02,2024-06-25,True,False
67
  πŸ’¬,MaziyarPanahi/Phi-3-mini-4k-instruct-v0.2,23.21,50.69,0.51,37.73,0.55,2.34,0.02,9.51,0.32,7.7,0.4,31.27,0.38,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",Phi3ForCausalLM,Original,bfloat16,True,mit,3,2,True,c0a366a4c01d7e724ceba7e2f2c19251983423fe,True,True,2024-06-26,2024-05-10,True,False
68
- πŸ’¬,google/gemma-2-9b-it,23.18,76.95,0.77,38.55,0.57,0.0,0.0,12.42,0.34,9.38,0.4,1.78,0.12,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",Gemma2ForCausalLM,Original,bfloat16,True,gemma,9,276,True,1937c70277fcc5f7fb0fc772fc5bc69378996e71,True,True,2024-07-11,2024-06-24,True,True
69
  πŸ’¬,UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3,23.06,67.03,0.67,29.72,0.51,7.18,0.07,2.01,0.27,2.89,0.36,29.53,0.37,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",LlamaForCausalLM,Original,float16,True,apache-2.0,8,66,True,f73dafc2923acd56f115f21f76e9d14f8d19a63e,True,True,2024-06-28,2024-06-25,True,False
70
  πŸ’¬,MaziyarPanahi/Phi-3-mini-4k-instruct-v0.3,23.02,49.26,0.49,37.66,0.55,2.95,0.03,9.06,0.32,7.75,0.4,31.42,0.38,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",Phi3ForCausalLM,Original,bfloat16,True,mit,3,9,True,e1f70c3724c728aadd1c7c1bb279487494f7059e,True,True,2024-06-26,2024-05-10,True,False
71
  πŸ’¬,LLM360/K2-Chat,22.93,51.52,0.52,33.79,0.54,1.59,0.02,7.49,0.31,16.82,0.46,26.34,0.34,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",LlamaForCausalLM,Original,bfloat16,True,apache-2.0,65,30,True,5454f2d28031c9127e4227c873ca2f154e02e4c7,True,True,2024-06-12,2024-05-22,True,True
72
  πŸ’¬,01-ai/Yi-1.5-9B-Chat-16K,22.9,42.14,0.42,31.5,0.52,12.61,0.13,7.83,0.31,10.04,0.41,33.26,0.4,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",LlamaForCausalLM,Original,bfloat16,True,apache-2.0,8,29,True,2b397e5f0fab87984efa66856c5c4ed4bbe68b50,True,True,2024-06-12,2024-05-15,True,True
73
  πŸ’¬,refuelai/Llama-3-Refueled,22.73,46.2,0.46,41.72,0.59,3.93,0.04,6.6,0.3,14.64,0.45,23.28,0.31,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",LlamaForCausalLM,Original,bfloat16,True,cc-by-nc-4.0,8,185,True,ff6d1c3ba37b31d4af421951c2300f2256fb3691,True,True,2024-06-12,2024-05-03,True,True
74
- πŸ”Ά,openchat/openchat-3.6-8b-20240522,22.69,53.59,0.54,33.23,0.53,7.33,0.07,9.06,0.32,8.18,0.4,24.77,0.32,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,bfloat16,True,llama3,8,129,True,2264eb98558978f708e88ae52afb78e43b832801,True,True,2024-06-26,2024-05-07,True,True
75
  πŸ”Ά,openchat/openchat-3.5-0106,22.59,59.51,0.6,24.17,0.46,6.5,0.06,8.17,0.31,11.75,0.43,25.46,0.33,πŸ”Ά fine-tuned on domain-specific datasets,MistralForCausalLM,Original,bfloat16,True,apache-2.0,7,339,True,ff058fda49726ecf4ea53dc1635f917cdb8ba36b,True,True,2024-06-27,2024-01-07,True,True
76
  πŸ’¬,openchat/openchat-3.5-1210,22.56,60.37,0.6,23.24,0.45,6.87,0.07,6.82,0.3,14.28,0.44,23.81,0.31,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",MistralForCausalLM,Original,bfloat16,True,apache-2.0,7,274,True,801f5459b7577241500785f11c2b026912badd6e,True,True,2024-06-12,2023-12-12,True,True
77
  πŸ”Ά,pankajmathur/orca_mini_v7_7b,22.41,43.88,0.44,33.95,0.53,2.64,0.03,6.15,0.3,12.66,0.44,35.19,0.42,πŸ”Ά fine-tuned on domain-specific datasets,Qwen2ForCausalLM,Original,bfloat16,True,apache-2.0,7,2,True,f5e84ff6ea25fb4585908ea45d1520bac416d803,True,True,2024-06-26,2024-06-20,False,False
78
  πŸ”Ά,WizardLMTeam/WizardLM-70B-V1.0,22.32,49.51,0.5,37.54,0.56,3.47,0.03,2.13,0.27,14.09,0.44,27.18,0.34,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,float16,True,llama2,70,230,True,54aaecaff7d0790eb9f0ecea1cc267a94cc66949,True,True,2024-06-12,2023-08-09,False,True
 
79
  🟒,01-ai/Yi-34B,22.26,30.46,0.3,35.54,0.55,4.46,0.04,15.55,0.37,9.65,0.41,37.91,0.44,🟒 pretrained,LlamaForCausalLM,Original,bfloat16,True,apache-2.0,34,1267,True,e1e7da8c75cfd5c44522228599fd4d2990cedd1c,True,True,2024-06-12,2023-11-01,False,True
80
  πŸ”Ά,mlabonne/Daredevil-8B,22.13,45.48,0.45,31.63,0.52,8.99,0.09,7.72,0.31,7.53,0.39,31.45,0.38,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,bfloat16,False,other,8,24,True,717953c83631cc9adf2dddccfff06739308f10f7,True,True,2024-07-02,2024-05-25,True,True
81
  πŸ’¬,01-ai/Yi-1.5-6B-Chat,22.05,48.02,0.48,23.55,0.46,12.54,0.13,9.06,0.32,14.7,0.44,24.41,0.32,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",LlamaForCausalLM,Original,bfloat16,True,apache-2.0,6,32,True,3f64d3f159c6ad8494227bb77e2a7baef8cd808b,True,True,2024-06-12,2024-05-11,True,True
@@ -85,20 +87,22 @@ T,Model,Average ⬆️,IFEval,IFEval Raw,BBH,BBH Raw,MATH Lvl 5,MATH Lvl 5 Raw,G
85
  🟒,01-ai/Yi-1.5-9B,21.95,29.36,0.29,30.5,0.51,10.2,0.1,17.23,0.38,12.03,0.43,32.4,0.39,🟒 pretrained,LlamaForCausalLM,Original,bfloat16,True,apache-2.0,8,42,True,8cfde9604384c50137bee480b8cef8a08e5ae81d,True,True,2024-06-12,2024-05-11,False,True
86
  πŸ’¬,NousResearch/Nous-Hermes-2-Mixtral-8x7B-SFT,21.78,57.31,0.57,30.59,0.51,1.74,0.02,6.94,0.3,11.14,0.42,22.96,0.31,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",MixtralForCausalLM,Original,bfloat16,True,apache-2.0,46,55,True,4c06af2684730f75a6874b95e8bf6058105d9612,True,False,2024-06-12,2023-12-26,True,True
87
  πŸ’¬,NousResearch/Hermes-2-Pro-Mistral-7B,21.64,56.68,0.57,29.43,0.5,4.83,0.05,3.13,0.27,14.13,0.44,21.63,0.29,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",MistralForCausalLM,Original,bfloat16,True,apache-2.0,7,478,True,09317b1d8da639b5d9af77c06aa17cde0f0f91c0,True,True,2024-06-12,2024-03-11,True,True
88
- πŸ’¬,NousResearch/Hermes-2-Pro-Llama-3-8B,21.63,53.62,0.54,30.67,0.51,5.74,0.06,5.7,0.29,11.25,0.43,22.8,0.31,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",LlamaForCausalLM,Original,float16,True,llama3,8,384,True,bc265d1781299ed2045214289c927c207439a729,True,True,2024-06-13,2024-04-30,True,True
89
  πŸ’¬,openchat/openchat_3.5,21.52,59.31,0.59,21.58,0.44,6.57,0.07,6.49,0.3,11.26,0.42,23.93,0.32,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",MistralForCausalLM,Original,bfloat16,True,apache-2.0,7,1105,True,0fc98e324280bc4bf5d2c30ecf7b97b84fb8a19b,True,True,2024-06-12,2023-10-30,True,True
90
  πŸ”Ά,mlabonne/NeuralDaredevil-8B-abliterated,21.5,41.62,0.42,29.76,0.51,8.53,0.09,7.05,0.3,10.9,0.41,31.13,0.38,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,bfloat16,True,other,8,108,True,89b01e3292e031ed85ad21545849182f5627021e,True,True,2024-06-27,2024-05-27,False,True
91
- πŸ”Ά,Intel/neural-chat-7b-v3-2,21.43,49.88,0.5,30.24,0.5,4.53,0.05,5.37,0.29,20.06,0.49,18.52,0.27,πŸ”Ά fine-tuned on domain-specific datasets,MistralForCausalLM,Original,float16,True,apache-2.0,7,54,True,0d8f77647810d21d935ea90c66d6339b85e65a75,True,True,2024-06-12,2023-11-21,False,True
92
  πŸ’¬,teknium/OpenHermes-2-Mistral-7B,21.33,52.86,0.53,29.25,0.49,3.85,0.04,4.47,0.28,16.06,0.45,21.46,0.29,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",MistralForCausalLM,Original,bfloat16,True,apache-2.0,7,256,True,4c6e34123b140ce773a8433cae5410949289102c,True,True,2024-06-12,2023-10-12,True,True
93
- πŸ’¬,teknium/OpenHermes-2.5-Mistral-7B,21.22,55.71,0.56,27.77,0.49,4.46,0.04,4.47,0.28,12.06,0.42,22.83,0.31,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",MistralForCausalLM,Original,bfloat16,True,apache-2.0,7,794,True,24c0bea14d53e6f67f1fbe2eca5bfe7cae389b33,True,True,2024-06-12,2023-10-29,True,True
94
- πŸ’¬,Qwen/Qwen1.5-14B-Chat,21.02,47.68,0.48,32.76,0.52,0.0,0.0,2.68,0.27,13.93,0.44,29.09,0.36,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",Qwen2ForCausalLM,Original,bfloat16,True,other,14,103,True,9492b22871f43e975435455f5c616c77fe7a50ec,True,True,2024-06-12,2024-01-30,True,True
95
  πŸ’¬,NousResearch/Nous-Hermes-2-Mistral-7B-DPO,21.01,57.63,0.58,27.79,0.49,4.23,0.04,5.7,0.29,8.33,0.4,22.39,0.3,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",MistralForCausalLM,Original,bfloat16,True,apache-2.0,7,160,True,ebec0a691037d38955727d6949798429a63929dd,True,True,2024-06-12,2024-02-18,True,True
96
  πŸ”Ά,Intel/neural-chat-7b-v3-1,21.0,46.87,0.47,29.74,0.51,3.17,0.03,5.37,0.29,22.24,0.5,18.64,0.27,πŸ”Ά fine-tuned on domain-specific datasets,MistralForCausalLM,Original,float16,True,apache-2.0,7,545,True,c0d379a49c1c0579529d5e6f2e936ddb759552a8,True,True,2024-06-12,2023-11-14,False,True
 
97
  πŸ’¬,berkeley-nest/Starling-LM-7B-alpha,20.64,54.8,0.55,21.95,0.44,7.18,0.07,6.26,0.3,9.5,0.41,24.13,0.32,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",MistralForCausalLM,Original,bfloat16,True,apache-2.0,7,551,True,1dddf3b95bc1391f6307299eb1c162c194bde9bd,True,True,2024-06-12,2023-11-25,True,True
 
98
  πŸ”Ά,pankajmathur/orca_mini_v6_8b_dpo,20.29,38.83,0.39,32.48,0.52,5.51,0.06,6.82,0.3,9.26,0.41,28.85,0.36,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,bfloat16,True,llama3,8,1,True,ebb11b63839d38e8c03c7ecac012e047fcb2346e,True,True,2024-06-26,2024-06-21,False,False
99
  🟒,Qwen/Qwen1.5-14B,20.22,29.05,0.29,30.06,0.51,16.47,0.16,5.93,0.29,10.46,0.42,29.37,0.36,🟒 pretrained,Qwen2ForCausalLM,Original,bfloat16,True,other,14,36,True,dce4b190d34470818e5bec2a92cb8233aaa02ca2,True,True,2024-06-13,2024-01-22,False,True
100
  πŸ”Ά,pankajmathur/orca_mini_v5_8b,20.16,48.06,0.48,29.35,0.51,7.85,0.08,4.92,0.29,7.7,0.4,23.07,0.31,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,bfloat16,True,llama3,8,2,True,f57c84d4cc0b3b74549458c0d38e868bd7fffad1,True,True,2024-06-26,2024-05-26,False,False
101
- πŸ”Ά,Sao10K/Fimbulvetr-11B-v2,20.03,51.0,0.51,22.66,0.45,0.45,0.0,5.59,0.29,14.92,0.44,25.57,0.33,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,float16,True,cc-by-nc-4.0,10,134,True,b2dcd534dc3a53ff84e60a53b87816185169be19,True,True,2024-07-01,2024-02-06,True,False
102
  🀝,OmnicromsBrain/NeuralStar_FusionWriter_4x7b,20.01,59.64,0.6,26.04,0.48,4.53,0.05,3.8,0.28,8.2,0.4,17.84,0.26,🀝 base merges and moerges,MixtralForCausalLM,Original,float16,False,apache-2.0,24,0,True,fbe296d2c76acbb792cdd22e14d1c8bb13723839,True,False,2024-07-01,2024-06-07,True,False
103
  πŸ’¬,Weyaxi/Einstein-v6.1-Llama3-8B,19.99,45.68,0.46,29.38,0.5,5.74,0.06,4.25,0.28,11.23,0.42,23.68,0.31,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",LlamaForCausalLM,Original,bfloat16,True,other,8,61,True,5cab6d54666b6024d0f745d61abf1842edb934e0,True,True,2024-06-26,2024-04-19,True,False
104
  πŸ”Ά,Intel/neural-chat-7b-v3-3,19.99,47.63,0.48,27.75,0.49,0.68,0.01,5.26,0.29,20.58,0.49,18.05,0.26,πŸ”Ά fine-tuned on domain-specific datasets,MistralForCausalLM,Original,float16,True,apache-2.0,7,73,True,bdd31cf498d13782cc7497cba5896996ce429f91,True,True,2024-06-12,2023-12-09,False,True
@@ -110,19 +114,19 @@ T,Model,Average ⬆️,IFEval,IFEval Raw,BBH,BBH Raw,MATH Lvl 5,MATH Lvl 5 Raw,G
110
  🟒,01-ai/Yi-1.5-9B-32K,19.61,23.03,0.23,28.94,0.5,9.59,0.1,14.54,0.36,10.83,0.42,30.72,0.38,🟒 pretrained,LlamaForCausalLM,Original,bfloat16,True,apache-2.0,8,18,True,116561dfae63af90f9d163b43077629e0e916bb1,True,True,2024-06-12,2024-05-15,False,True
111
  🀝,johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.5-gamma-0.01,19.38,32.04,0.32,27.67,0.49,0.0,0.0,6.94,0.3,23.62,0.51,26.05,0.33,🀝 base merges and moerges,LlamaForCausalLM,Original,bfloat16,False,apache-2.0,8,0,True,6ab1392c825907b08eff8fbed4c97a3e6e0d6dd9,True,True,2024-06-26,2024-06-07,False,False
112
  🀝,mlabonne/Beyonder-4x7B-v3,19.31,56.08,0.56,24.56,0.47,4.76,0.05,4.7,0.29,8.93,0.4,16.81,0.25,🀝 base merges and moerges,MixtralForCausalLM,Original,float16,False,cc-by-nc-4.0,24,56,True,8e923fa480f511ab54d79b44b0487768bdd3de4e,True,False,2024-06-12,2024-03-21,True,True
113
- 🟒,mistralai/Mixtral-8x7B-v0.1,19.23,23.5,0.24,29.73,0.5,8.84,0.09,9.28,0.32,12.55,0.43,31.5,0.38,🟒 pretrained,MixtralForCausalLM,Original,bfloat16,True,apache-2.0,46,1594,True,985aa055896a8f943d4a9f2572e6ea1341823841,True,False,2024-06-12,2023-12-01,False,True
114
- πŸ’¬,mistralai/Mistral-7B-Instruct-v0.3,19.11,54.65,0.55,25.57,0.47,3.17,0.03,3.91,0.28,4.3,0.37,23.06,0.31,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",MistralForCausalLM,Original,bfloat16,True,apache-2.0,7,810,True,83e9aa141f2e28c82232fea5325f54edf17c43de,True,True,2024-06-12,2024-05-22,True,True
115
  πŸ’¬,Weyaxi/Einstein-v6.1-developed-by-Weyaxi-Llama3-8B,19.05,39.27,0.39,29.69,0.5,5.59,0.06,3.13,0.27,13.39,0.43,23.25,0.31,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",LlamaForCausalLM,Original,bfloat16,True,other,8,1,True,b7507e94146c0832c26609e9ab8115934d3e25b3,True,True,2024-06-26,2024-06-23,True,False
116
  πŸ’¬,HuggingFaceH4/zephyr-7b-alpha,18.52,51.91,0.52,23.89,0.46,1.51,0.02,6.38,0.3,7.5,0.39,19.94,0.28,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",MistralForCausalLM,Original,bfloat16,True,mit,7,1085,True,2ce2d025864af849b3e5029e2ec9d568eeda892d,True,True,2024-06-12,2023-10-09,True,True
117
- πŸ’¬,mistralai/Mistral-7B-Instruct-v0.2,18.44,54.96,0.55,22.91,0.45,2.64,0.03,3.47,0.28,7.61,0.4,19.08,0.27,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",MistralForCausalLM,Original,bfloat16,True,apache-2.0,7,2419,True,41b61a33a2483885c981aa79e0df6b32407ed873,True,True,2024-06-12,2023-12-11,True,True
118
- πŸ’¬,cognitivecomputations/dolphin-2.9-llama3-8b,18.3,38.5,0.39,27.86,0.49,5.06,0.05,4.92,0.29,13.79,0.44,19.68,0.28,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",LlamaForCausalLM,Original,bfloat16,True,other,8,372,True,5aeb036f9215c558b483a654a8c6e1cc22e841bf,True,True,2024-06-12,2024-04-20,True,True
119
  🟒,meta-llama/Llama-2-70b-hf,18.25,24.07,0.24,35.9,0.55,2.49,0.02,7.05,0.3,9.78,0.41,30.2,0.37,🟒 pretrained,LlamaForCausalLM,Original,float16,True,llama2,68,820,True,3aba440b59558f995867ba6e1f58f21d0336b5bb,True,True,2024-06-12,2023-07-11,False,True
120
  πŸ”Ά,microsoft/Orca-2-13b,18.14,31.28,0.31,27.31,0.49,0.98,0.01,4.03,0.28,25.79,0.51,19.44,0.27,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,bfloat16,True,other,13,657,True,2539ff53e6baa4cc603774ad5a2d646f4041ea4e,True,True,2024-06-12,2023-11-14,False,True
121
- πŸ’¬,gradientai/Llama-3-8B-Instruct-Gradient-1048k,18.12,44.56,0.45,21.01,0.43,4.38,0.04,3.69,0.28,13.52,0.43,21.56,0.29,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",LlamaForCausalLM,Original,bfloat16,True,llama3,8,653,True,8697fb25cb77c852311e03b4464b8467471d56a4,True,True,2024-06-12,2024-04-29,True,True
122
- 🟒,THUDM/glm-4-9b,18.01,14.26,0.14,35.81,0.55,0.0,0.0,8.84,0.32,14.19,0.44,34.94,0.41,🟒 pretrained,ChatGLMModelM,Original,bfloat16,True,other,9,82,True,99a140996f9d4f197842fb6b1aab217a42e27ef3,True,True,2024-07-04,2024-06-04,False,False
123
  πŸ”Ά,Intel/neural-chat-7b-v3,17.94,27.78,0.28,30.21,0.5,2.19,0.02,5.59,0.29,23.02,0.51,18.87,0.27,πŸ”Ά fine-tuned on domain-specific datasets,MistralForCausalLM,Original,float16,True,apache-2.0,7,65,True,fc679274dfcd28a8b6087634f71af7ed2a0659c4,True,True,2024-06-12,2023-10-25,False,True
124
  πŸ’¬,HuggingFaceH4/zephyr-7b-beta,17.72,49.5,0.5,21.49,0.43,2.42,0.02,5.37,0.29,7.73,0.39,19.79,0.28,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",MistralForCausalLM,Original,bfloat16,True,mit,7,1524,True,b70e0c9a2d9e14bd1e812d3c398e5f313e93b473,True,True,2024-06-12,2023-10-26,True,True
125
- πŸ’¬,Open-Orca/Mistral-7B-OpenOrca,17.62,49.78,0.5,25.84,0.48,2.95,0.03,2.91,0.27,5.89,0.39,18.37,0.27,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",MistralForCausalLM,Original,bfloat16,True,apache-2.0,7,663,True,4a37328cef00f524d3791b1c0cc559a3cc6af14d,True,True,2024-06-12,2023-09-29,True,True
126
  🟒,01-ai/Yi-9B,17.61,27.09,0.27,27.63,0.49,4.38,0.04,9.06,0.32,8.91,0.41,28.6,0.36,🟒 pretrained,LlamaForCausalLM,Original,bfloat16,True,apache-2.0,8,182,True,b4a466d95091696285409f1dcca3028543cb39da,True,True,2024-06-12,2024-03-01,False,True
127
  πŸ’¬,mlabonne/AlphaMonarch-7B,17.59,49.39,0.49,23.95,0.46,3.85,0.04,2.68,0.27,9.32,0.41,16.36,0.25,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",MistralForCausalLM,Original,float16,False,cc-by-nc-4.0,7,146,True,3de065d84411d74e5b3590f67f52b0b71faf6161,True,True,2024-06-12,2024-02-14,True,True
128
  🟒,01-ai/Yi-9B-200K,17.59,23.27,0.23,26.49,0.48,5.82,0.06,8.72,0.32,12.11,0.43,29.13,0.36,🟒 pretrained,LlamaForCausalLM,Original,bfloat16,True,apache-2.0,8,74,True,8c93accd5589dbb74ee938e103613508c4a9b88d,True,True,2024-06-12,2024-03-15,False,True
@@ -131,46 +135,47 @@ T,Model,Average ⬆️,IFEval,IFEval Raw,BBH,BBH Raw,MATH Lvl 5,MATH Lvl 5 Raw,G
131
  πŸ’¬,google/gemma-1.1-7b-it,17.4,50.39,0.5,15.93,0.39,3.17,0.03,5.82,0.29,11.51,0.42,17.6,0.26,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",GemmaForCausalLM,Original,bfloat16,True,gemma,8,254,True,16128b0aeb50762ea96430c0c06a37941bf9f274,True,True,2024-06-12,2024-03-26,True,True
132
  πŸ”Ά,pankajmathur/Al_Dente_v1_8b,17.12,36.94,0.37,27.25,0.48,3.02,0.03,6.6,0.3,8.27,0.4,20.67,0.29,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,bfloat16,True,llama3,8,1,True,149d70e04085ecd90510a60f916efc55da1294e7,True,True,2024-06-26,2024-06-02,False,False
133
  πŸ”Ά,zhengr/MixTAO-7Bx2-MoE-v8.1,17.06,41.88,0.42,19.18,0.42,5.97,0.06,6.49,0.3,8.3,0.4,20.52,0.28,πŸ”Ά fine-tuned on domain-specific datasets,MixtralForCausalLM,Original,bfloat16,True,apache-2.0,12,51,True,828e963abf2db0f5af9ed0d4034e538fc1cf5f40,True,False,2024-06-27,2024-02-26,True,False
134
- 🟒,upstage/SOLAR-10.7B-v1.0,16.77,24.21,0.24,29.79,0.51,2.11,0.02,4.14,0.28,13.68,0.44,26.67,0.34,🟒 pretrained,LlamaForCausalLM,Original,float16,True,apache-2.0,10,260,True,a45090b8e56bdc2b8e32e46b3cd782fc0bea1fa5,True,True,2024-06-12,2023-12-12,False,True
135
  πŸ’¬,ibm/merlinite-7b,16.74,24.99,0.25,29.98,0.5,2.34,0.02,6.26,0.3,13.88,0.44,22.98,0.31,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",MistralForCausalLM,Original,bfloat16,True,apache-2.0,7,101,True,233d12759d5bb9344231dafdb51310ec19d79c0e,True,True,2024-06-09,2024-03-02,False,True
136
  πŸ’¬,Weyaxi/Einstein-v4-7B,16.73,47.08,0.47,14.3,0.38,1.74,0.02,4.25,0.28,19.02,0.47,13.99,0.23,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",MistralForCausalLM,Original,bfloat16,True,other,7,47,True,7eecd9833b8a012e23ac1df789884888b047baa0,True,True,2024-06-26,2024-02-22,True,False
137
- πŸ’¬,Qwen/Qwen1.5-7B-Chat,16.58,43.71,0.44,22.38,0.45,0.0,0.0,7.05,0.3,4.64,0.38,21.68,0.3,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",Qwen2ForCausalLM,Original,bfloat16,True,other,7,156,True,5f4f5e69ac7f1d508f8369e977de208b4803444b,True,True,2024-06-12,2024-01-30,True,True
138
- πŸ”Ά,CausalLM/14B,16.53,27.88,0.28,24.78,0.47,3.32,0.03,7.05,0.3,11.47,0.42,24.68,0.32,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,bfloat16,True,wtfpl,14,296,True,cc054cf5953252d0709cb3267d1a85246e489e95,True,True,2024-06-12,2023-10-22,False,True
139
  🟒,01-ai/Yi-1.5-6B,16.47,26.11,0.26,21.94,0.45,5.66,0.06,8.28,0.31,13.51,0.44,23.34,0.31,🟒 pretrained,LlamaForCausalLM,Original,bfloat16,True,apache-2.0,6,23,True,cab51fce425b4c1fb19fccfdd96bd5d0908c1657,True,True,2024-06-12,2024-05-11,False,True
140
  πŸ’¬,stabilityai/stablelm-2-12b-chat,16.22,40.82,0.41,25.25,0.47,2.04,0.02,2.24,0.27,7.73,0.39,19.27,0.27,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",StableLmForCausalLM,Original,bfloat16,True,other,12,83,True,b6b62cd451b84e848514c00fafa66d9ead9297c5,True,True,2024-06-12,2024-04-04,True,True
141
  πŸ’¬,CohereForAI/aya-23-8B,15.97,46.99,0.47,20.2,0.43,1.44,0.01,4.59,0.28,8.42,0.39,14.2,0.23,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",CohereForCausalLM,Original,float16,True,cc-by-nc-4.0,8,323,True,ec151d218a24031eb039d92fb83d10445427efc9,True,True,2024-06-12,2024-05-19,True,True
142
  πŸ”Ά,pankajmathur/model_007_13b_v2,15.86,30.56,0.31,25.45,0.47,1.21,0.01,4.47,0.28,17.2,0.46,16.23,0.25,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,bfloat16,True,llama2,13,4,True,2c6ddf25cdb134f22e2543121b5a36b41342a9e2,True,True,2024-06-26,2023-08-12,False,False
143
  πŸ’¬,HuggingFaceH4/zephyr-7b-gemma-v0.1,15.83,33.64,0.34,24.05,0.46,6.65,0.07,5.93,0.29,4.18,0.37,20.53,0.28,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",GemmaForCausalLM,Original,bfloat16,True,other,8,120,True,03b3427d0ed07d2e0f86c0a7e53d82d4beef9540,True,True,2024-06-12,2024-03-01,True,True
144
  🟒,NousResearch/Yarn-Solar-10b-32k,15.62,19.42,0.19,28.99,0.5,2.42,0.02,7.05,0.3,10.6,0.41,25.25,0.33,🟒 pretrained,LlamaForCausalLM,Original,bfloat16,True,apache-2.0,10,10,True,ec3158b5276ac6644ddbdb36ccf6f9a106c98ede,True,True,2024-06-12,2024-01-17,False,True
145
- 🟒,microsoft/phi-2,15.45,27.39,0.27,28.04,0.49,2.42,0.02,2.91,0.27,13.84,0.41,18.09,0.26,🟒 pretrained,PhiForCausalLM,Original,float16,True,mit,2,3204,True,ef382358ec9e382308935a992d908de099b64c23,True,True,2024-06-09,2023-12-13,False,True
146
  🀝,mlabonne/phixtral-2x2_8,15.39,34.31,0.34,28.5,0.49,2.57,0.03,2.01,0.27,7.71,0.36,17.23,0.26,🀝 base merges and moerges,PhiForCausalLM,Original,float16,True,mit,4,146,True,7744a977d83f132ae5808d8c3b70157031f7de44,True,False,2024-06-12,2024-01-07,True,True
147
- 🟒,google/gemma-7b,15.28,26.59,0.27,21.12,0.44,6.42,0.06,4.92,0.29,10.98,0.41,21.64,0.29,🟒 pretrained,GemmaForCausalLM,Original,bfloat16,True,gemma,8,2973,True,a0eac5b80dba224e6ed79d306df50b1e92c2125d,True,True,2024-06-08,2024-02-08,False,True
148
  🟒,Qwen/Qwen1.5-7B,15.22,26.84,0.27,23.08,0.46,4.46,0.04,6.49,0.3,9.16,0.41,21.29,0.29,🟒 pretrained,Qwen2ForCausalLM,Original,bfloat16,True,other,7,42,True,831096e3a59a0789a541415da25ef195ceb802fe,True,True,2024-06-09,2024-01-22,False,True
149
  πŸ”Ά,WizardLMTeam/WizardLM-13B-V1.2,15.15,33.92,0.34,22.89,0.45,1.74,0.02,1.45,0.26,14.03,0.44,16.88,0.25,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,float16,True,llama2,13,218,True,cf5f40382559f19e13874e45b39575171ca46ef8,True,True,2024-06-12,2023-07-25,False,True
150
  πŸ’¬,TencentARC/LLaMA-Pro-8B-Instruct,15.14,44.86,0.45,19.49,0.42,1.66,0.02,3.24,0.27,11.11,0.42,10.51,0.19,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",LlamaForCausalLM,Original,bfloat16,True,llama2,8,58,True,9850c8afce19a69d8fc4a1603a82441157514016,True,True,2024-06-12,2024-01-06,True,True
 
151
  🟒,NousResearch/Yarn-Solar-10b-64k,15.06,19.89,0.2,28.4,0.49,2.27,0.02,6.94,0.3,9.01,0.4,23.87,0.31,🟒 pretrained,LlamaForCausalLM,Original,bfloat16,True,apache-2.0,10,14,True,703818628a5e8ef637e48e8dbeb3662aa0497aff,True,True,2024-06-12,2024-01-17,False,True
152
  πŸ”Ά,pankajmathur/orca_mini_v3_13b,15.0,28.97,0.29,25.55,0.47,1.89,0.02,2.01,0.27,17.11,0.46,14.5,0.23,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,bfloat16,True,other,13,32,True,7d6e567d24ce2f228beaf54e89c17b0e750bfe99,True,True,2024-06-26,2023-08-09,False,False
153
- 🟒,Deci/DeciLM-7B,14.95,28.13,0.28,21.25,0.44,2.42,0.02,6.04,0.3,13.05,0.44,18.8,0.27,🟒 pretrained,DeciLMForCausalLM,Original,bfloat16,True,apache-2.0,7,220,True,c3c9f4226801dc0433f32aebffe0aac68ee2f051,True,True,2024-06-12,2023-12-10,False,True
154
  πŸ’¬,mlabonne/OrpoLlama-3-8B,14.87,36.53,0.37,21.95,0.44,3.85,0.04,3.91,0.28,4.01,0.36,18.95,0.27,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",LlamaForCausalLM,Original,float16,True,other,8,52,True,7f200e4c84ad0daa3ff6bc414012d8d0bacbf90e,True,True,2024-06-12,2024-04-18,True,True
155
  πŸ’¬,Qwen/Qwen1.5-MoE-A2.7B-Chat,14.82,37.95,0.38,20.04,0.43,0.0,0.0,3.24,0.27,6.33,0.39,21.37,0.29,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",Qwen2MoeForCausalLM,Original,bfloat16,True,other,14,108,True,ec052fda178e241c7c443468d2fa1db6618996be,True,False,2024-06-12,2024-03-14,True,True
156
  πŸ’¬,deepseek-ai/deepseek-llm-7b-chat,14.77,41.71,0.42,11.26,0.36,1.74,0.02,2.13,0.27,19.21,0.47,12.59,0.21,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",LlamaForCausalLM,Original,bfloat16,True,other,7,72,True,afbda8b347ec881666061fa67447046fc5164ec8,True,True,2024-06-12,2023-11-29,True,True
157
- 🟒,mistralai/Mistral-7B-v0.1,14.5,23.86,0.24,22.02,0.44,2.49,0.02,5.59,0.29,10.68,0.41,22.36,0.3,🟒 pretrained,MistralForCausalLM,Original,bfloat16,True,apache-2.0,7,3306,True,26bca36bde8333b5d7f72e9ed20ccda6a618af24,True,True,2024-06-12,2023-09-20,False,True
158
  πŸ”Ά,teknium/CollectiveCognition-v1.1-Mistral-7B,14.23,27.9,0.28,23.48,0.45,2.95,0.03,4.92,0.29,5.73,0.39,20.41,0.28,πŸ”Ά fine-tuned on domain-specific datasets,MistralForCausalLM,Original,float16,True,apache-2.0,7,78,True,5f57f70ec99450c70da2540e94dd7fd67be4b23c,True,True,2024-06-12,2023-10-04,False,True
159
  πŸ”Ά,TencentARC/Mistral_Pro_8B_v0.1,14.2,21.15,0.21,22.89,0.45,5.66,0.06,4.03,0.28,11.83,0.42,19.61,0.28,πŸ”Ά fine-tuned on domain-specific datasets,MistralForCausalLM,Original,bfloat16,True,apache-2.0,8,64,True,366f159fc5b314ba2a955209d2bca4600f84dac0,True,True,2024-06-12,2024-02-22,False,True
160
- 🟒,mistralai/Mistral-7B-v0.3,14.17,22.66,0.23,24.04,0.45,2.64,0.03,5.59,0.29,8.36,0.4,21.7,0.3,🟒 pretrained,MistralForCausalLM,Original,bfloat16,True,apache-2.0,7,308,True,b67d6a03ca097c5122fa65904fce0413500bf8c8,True,True,2024-06-12,2024-05-22,False,True
161
  πŸ”Ά,microsoft/Orca-2-7b,14.15,21.99,0.22,22.57,0.45,0.83,0.01,0.78,0.26,24.09,0.5,14.65,0.23,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,bfloat16,True,other,7,208,True,60e31e6bdcf582ad103b807cb74b73ee1d2c4b17,True,True,2024-06-12,2023-11-14,False,True
162
  🟒,mistral-community/Mistral-7B-v0.2,14.15,22.66,0.23,23.95,0.45,2.64,0.03,5.59,0.29,8.36,0.4,21.7,0.3,🟒 pretrained,MistralForCausalLM,Original,bfloat16,True,apache-2.0,7,227,True,2c3e624962b1a3f3fbf52e15969565caa7bc064a,True,True,2024-06-12,2024-03-23,False,True
163
  πŸ’¬,01-ai/Yi-6B-Chat,14.0,33.95,0.34,17.0,0.41,0.68,0.01,5.93,0.29,3.57,0.37,22.9,0.31,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",LlamaForCausalLM,Original,bfloat16,True,apache-2.0,6,62,True,01f7fabb6cfb26efeb764da4a0a19cad2c754232,True,True,2024-06-12,2023-11-22,True,True
164
- πŸ’¬,Qwen/Qwen2-1.5B-Instruct,13.92,33.71,0.34,13.7,0.39,5.82,0.06,1.57,0.26,12.03,0.43,16.68,0.25,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",Qwen2ForCausalLM,Original,bfloat16,True,apache-2.0,1,64,True,ba1cf1846d7df0a0591d6c00649f57e798519da8,True,True,2024-06-12,2024-06-03,True,True
165
  🟒,stabilityai/stablelm-2-12b,13.86,15.69,0.16,22.69,0.45,3.47,0.03,3.8,0.28,14.49,0.45,23.02,0.31,🟒 pretrained,StableLmForCausalLM,Original,bfloat16,True,other,12,108,True,fead13ddbf4492970666650c3cd6f85f485411ec,True,True,2024-06-12,2024-03-21,False,True
166
  πŸ”Ά,xinchen9/llama3-b8-ft-dis,13.85,15.46,0.15,24.73,0.46,3.17,0.03,8.39,0.31,6.41,0.37,24.93,0.32,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,float16,True,apache-2.0,8,0,True,e4da730f28f79543262de37908943c35f8df81fe,True,True,2024-07-11,2024-06-28,False,False
167
  πŸ”Ά,openchat/openchat_v3.2,13.81,29.81,0.3,20.32,0.43,1.13,0.01,2.68,0.27,13.1,0.43,15.8,0.24,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,bfloat16,True,llama2,13,42,True,acc7ce92558681e749678648189812f15c1465fe,True,True,2024-06-12,2023-07-30,False,True
168
- 🟒,tiiuae/falcon-11B,13.78,32.61,0.33,21.94,0.44,2.34,0.02,2.8,0.27,7.53,0.4,15.44,0.24,🟒 pretrained,FalconForCausalLM,Original,bfloat16,True,unknown,11,191,True,066e3bf4e2d9aaeefa129af0a6d39727d27816b3,True,True,2024-06-09,2024-05-09,False,True
169
  🟒,01-ai/Yi-6B,13.6,28.93,0.29,19.41,0.43,1.51,0.02,2.57,0.27,7.04,0.39,22.12,0.3,🟒 pretrained,LlamaForCausalLM,Original,bfloat16,True,apache-2.0,6,365,True,7f7fb7662fd8ec09029364f408053c954986c8e5,True,True,2024-06-12,2023-11-01,False,True
170
  πŸ’¬,mistralai/Mistral-7B-Instruct-v0.1,13.57,45.02,0.45,13.79,0.38,1.51,0.02,0.0,0.24,5.77,0.38,15.34,0.24,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",MistralForCausalLM,Original,bfloat16,True,apache-2.0,7,1470,True,73068f3702d050a2fd5aa2ca1e612e5036429398,True,True,2024-06-27,2023-09-27,True,True
171
  πŸ”Ά,pankajmathur/orca_mini_v3_7b,13.52,28.21,0.28,17.84,0.41,0.3,0.0,0.0,0.25,22.71,0.5,12.04,0.21,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,bfloat16,True,other,7,40,True,6252eb7ca29da8d951ae7d2bca948bf84e04a2b9,True,True,2024-06-26,2023-08-07,False,False
172
  🟒,NousResearch/Yarn-Mistral-7b-64k,13.43,20.8,0.21,20.23,0.43,3.02,0.03,5.37,0.29,9.88,0.41,21.27,0.29,🟒 pretrained,MistralForCausalLM,Original,bfloat16,True,apache-2.0,7,49,True,0273c624561fcecc8e8f4030492a9307aa60f945,True,True,2024-06-12,2023-10-31,False,True
173
- 🟒,meta-llama/Meta-Llama-3-8B,13.41,14.55,0.15,24.5,0.46,3.25,0.03,7.38,0.31,6.24,0.36,24.55,0.32,🟒 pretrained,LlamaForCausalLM,Original,bfloat16,True,llama3,8,5311,True,62bd457b6fe961a42a631306577e622c83876cb6,True,True,2024-06-12,2024-04-17,False,True
174
  🟒,google/recurrentgemma-9b,13.26,30.76,0.31,14.8,0.39,4.83,0.05,4.7,0.29,6.6,0.38,17.88,0.26,🟒 pretrained,RecurrentGemmaForCausalLM,Original,bfloat16,True,gemma,9,56,True,7b0ed98fb889ba8bdfa7c690f08f2e57a7c48dae,True,True,2024-07-04,2024-06-07,False,True
175
  🟒,NousResearch/Yarn-Mistral-7b-128k,13.16,19.34,0.19,20.63,0.43,2.49,0.02,6.49,0.3,8.95,0.41,21.03,0.29,🟒 pretrained,MistralForCausalLM,Original,bfloat16,True,apache-2.0,7,568,True,d09f1f8ed437d61c1aff94c1beabee554843dcdd,True,True,2024-06-12,2023-10-31,False,True
176
  πŸ”Ά,pankajmathur/orca_mini_v5_8b_orpo,12.88,8.24,0.08,27.88,0.5,5.97,0.06,4.59,0.28,8.97,0.41,21.63,0.29,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,bfloat16,True,llama3,8,1,True,4cdc018043ef439f15bd8a09c4f09c6bc528dfc7,True,True,2024-06-26,2024-05-31,False,False
@@ -186,14 +191,14 @@ T,Model,Average ⬆️,IFEval,IFEval Raw,BBH,BBH Raw,MATH Lvl 5,MATH Lvl 5 Raw,G
186
  πŸ”Ά,TencentARC/MetaMath-Mistral-Pro,12.01,21.19,0.21,22.37,0.44,4.61,0.05,2.57,0.27,4.99,0.35,16.35,0.25,πŸ”Ά fine-tuned on domain-specific datasets,MistralForCausalLM,Original,bfloat16,True,apache-2.0,8,5,True,3835d38de15ed2a04c32aca879b782fc50e390bf,True,True,2024-06-12,2024-02-26,False,True
187
  🟒,01-ai/Yi-6B-200K,11.9,8.43,0.08,20.15,0.43,1.21,0.01,4.25,0.28,16.84,0.46,20.49,0.28,🟒 pretrained,LlamaForCausalLM,Original,bfloat16,True,apache-2.0,6,173,True,4a74338e778a599f313e9fa8f5bc08c717604420,True,True,2024-06-12,2023-11-06,False,True
188
  πŸ”Ά,Replete-AI/Replete-Coder-Llama3-8B,11.66,47.29,0.47,7.06,0.33,2.95,0.03,1.45,0.26,7.51,0.4,3.67,0.13,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,bfloat16,True,other,8,32,True,2aca75c53e7eb2f523889ab1a279e349b8f1b0e8,True,True,2024-06-26,2024-06-24,True,False
189
- πŸ’¬,h2oai/h2o-danube3-4b-chat,11.36,36.29,0.36,8.84,0.35,2.79,0.03,1.34,0.26,5.23,0.38,13.65,0.22,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",LlamaForCausalLM,Original,float16,True,apache-2.0,3,46,True,1e5c6fa6620f8bf078958069ab4581cd88e0202c,True,True,2024-07-15,2024-07-04,True,False
190
  🟒,tiiuae/falcon-40b,11.33,24.96,0.25,16.58,0.4,1.36,0.01,3.13,0.27,5.19,0.36,16.72,0.25,🟒 pretrained,FalconForCausalLM,Original,bfloat16,True,apache-2.0,40,2416,True,4a70170c215b36a3cce4b4253f6d0612bb7d4146,True,True,2024-06-09,2023-05-24,False,True
191
  🟒,Qwen/Qwen1.5-4B,11.29,24.45,0.24,16.25,0.41,2.42,0.02,3.58,0.28,4.82,0.36,16.22,0.25,🟒 pretrained,Qwen2ForCausalLM,Original,bfloat16,True,other,3,34,True,a66363a0c24e2155c561e4b53c658b1d3965474e,True,True,2024-06-13,2024-01-22,False,True
192
  πŸ”Ά,Replete-AI/Replete-Coder-Qwen2-1.5b,11.07,30.14,0.3,10.43,0.35,0.91,0.01,2.46,0.27,9.74,0.41,12.74,0.21,πŸ”Ά fine-tuned on domain-specific datasets,Qwen2ForCausalLM,Original,bfloat16,True,apache-2.0,1,21,True,86fcccbf921b7eb8a4d348e4a3cde0beb63d6626,True,True,2024-06-26,2024-06-23,True,False
193
- πŸ’¬,meta-llama/Llama-2-13b-chat-hf,11.0,39.85,0.4,7.16,0.33,0.6,0.01,0.0,0.23,8.16,0.4,10.26,0.19,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",LlamaForCausalLM,Original,float16,True,llama2,13,996,True,a2cb7a712bb6e5e736ca7f8cd98167f81a0b5bd8,True,True,2024-06-12,2023-07-13,True,True
194
  🟒,meta-llama/Llama-2-13b-hf,10.99,24.82,0.25,17.22,0.41,1.06,0.01,4.14,0.28,3.39,0.35,15.31,0.24,🟒 pretrained,LlamaForCausalLM,Original,float16,True,llama2,13,562,True,5c31dfb671ce7cfe2d7bb7c04375e44c55e815b1,True,True,2024-06-12,2023-07-13,False,True
195
- πŸ’¬,THUDM/glm-4-9b-chat,10.97,0.0,0.0,25.21,0.47,0.0,0.0,8.5,0.31,8.06,0.4,24.07,0.32,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",ChatGLMModelM,Original,bfloat16,True,other,9,474,True,04419001bc63e05e70991ade6da1f91c4aeec278,True,True,2024-07-09,2024-06-04,True,False
196
- πŸ”Ά,lmsys/vicuna-7b-v1.5,10.78,23.52,0.24,15.15,0.39,0.76,0.01,1.12,0.26,11.42,0.42,12.74,0.21,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,float16,True,llama2,7,266,True,3321f76e3f527bd14065daf69dad9344000a201d,True,True,2024-06-12,2023-07-29,False,True
197
  πŸ’¬,allenai/OLMo-7B-Instruct-hf,10.73,34.73,0.35,13.16,0.37,0.68,0.01,2.8,0.27,4.33,0.38,8.69,0.18,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",OlmoForCausalLM,Original,bfloat16,True,apache-2.0,7,0,True,2ea947518df93433aa71219f29b36c72ac63be95,True,True,2024-06-27,2024-06-04,True,True
198
  πŸ’¬,internlm/internlm2-chat-1_8b,10.5,23.87,0.24,20.67,0.45,2.42,0.02,2.13,0.27,4.61,0.36,9.33,0.18,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",InternLM2ForCausalLM,Original,bfloat16,True,other,1,24,True,4e226eeb354499f4d34ef4c27f6939f377475cc1,True,True,2024-06-12,2024-01-30,True,True
199
  πŸ’¬,tiiuae/falcon-40b-instruct,10.41,24.54,0.25,17.22,0.41,1.51,0.02,0.0,0.25,5.16,0.38,14.02,0.23,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",FalconForCausalLM,Original,bfloat16,True,apache-2.0,40,1171,True,ecb78d97ac356d098e79f0db222c9ce7c5d9ee5f,True,True,2024-06-09,2023-05-25,False,True
@@ -203,31 +208,31 @@ T,Model,Average ⬆️,IFEval,IFEval Raw,BBH,BBH Raw,MATH Lvl 5,MATH Lvl 5 Raw,G
203
  πŸ”Ά,VAGOsolutions/SauerkrautLM-1.5b,10.08,24.04,0.24,13.42,0.37,2.49,0.02,2.8,0.27,4.97,0.37,12.79,0.22,πŸ”Ά fine-tuned on domain-specific datasets,Qwen2ForCausalLM,Original,bfloat16,True,apache-2.0,1,11,True,8f5170f03e6b0355dd920adc3a7e65d0417ee14e,True,True,2024-06-26,2024-06-12,True,False
204
  🟩,pszemraj/Mistral-v0.3-6B,10.03,24.54,0.25,13.52,0.38,0.83,0.01,2.01,0.27,6.61,0.39,12.7,0.21,🟩 continuously pretrained,MistralForCausalLM,Original,bfloat16,True,apache-2.0,5,1,True,ae11a699012b83996361f04808f4d45debf3b01c,True,True,2024-06-26,2024-05-25,False,False
205
  πŸ”Ά,teknium/OpenHermes-7B,9.48,18.13,0.18,12.08,0.36,1.06,0.01,2.57,0.27,12.68,0.43,10.37,0.19,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,float16,True,mit,7,13,True,9f55d6eb15f1edd52ee1fd863a220aa682e78a00,True,True,2024-06-12,2023-09-14,False,True
206
- πŸ’¬,meta-llama/Llama-2-7b-chat-hf,9.4,39.65,0.4,4.49,0.31,0.68,0.01,0.56,0.25,3.48,0.37,7.52,0.17,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",LlamaForCausalLM,Original,float16,True,llama2,6,3697,True,f5db02db724555f92da89c216ac04704f23d4590,True,True,2024-06-12,2023-07-13,True,True
207
  πŸ”Ά,NousResearch/Nous-Hermes-llama-2-7b,9.28,17.29,0.17,13.79,0.38,0.68,0.01,1.79,0.26,11.68,0.43,10.44,0.19,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,bfloat16,True,mit,6,67,True,b7c3ec54b754175e006ef75696a2ba3802697078,True,True,2024-06-12,2023-07-25,False,True
208
  πŸ’¬,stabilityai/stablelm-2-zephyr-1_6b,9.26,32.79,0.33,6.71,0.34,2.11,0.02,0.0,0.24,5.99,0.35,7.93,0.17,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",StableLmForCausalLM,Original,float16,True,other,1,174,True,2f275b1127d59fc31e4f7c7426d528768ada9ea4,True,True,2024-06-12,2024-01-19,True,True
209
  🟒,Qwen/Qwen1.5-1.8B,9.12,21.54,0.22,9.76,0.35,2.27,0.02,7.38,0.31,3.96,0.36,9.8,0.19,🟒 pretrained,Qwen2ForCausalLM,Original,bfloat16,True,other,1,43,True,7846de7ed421727b318d6605a0bfab659da2c067,True,True,2024-06-13,2024-01-22,False,True
210
  πŸ’¬,Qwen/Qwen1.5-1.8B-Chat,9.01,20.19,0.2,5.91,0.33,0.45,0.0,6.38,0.3,12.18,0.43,8.93,0.18,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",Qwen2ForCausalLM,Original,bfloat16,True,other,1,43,True,e482ee3f73c375a627a16fdf66fd0c8279743ca6,True,True,2024-06-12,2024-01-30,True,True
211
  πŸ”Ά,TencentARC/LLaMA-Pro-8B,8.78,22.77,0.23,9.29,0.35,1.66,0.02,1.34,0.26,8.59,0.4,9.01,0.18,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,bfloat16,True,llama2,8,170,True,7115e7179060e0623d1ee9ff4476faed7e478d8c,True,True,2024-06-12,2024-01-05,False,True
212
- 🟒,meta-llama/Llama-2-7b-hf,8.72,25.19,0.25,10.35,0.35,1.21,0.01,2.24,0.27,3.76,0.37,9.57,0.19,🟒 pretrained,LlamaForCausalLM,Original,float16,True,llama2,6,1575,True,01c7f73d771dfac7d292323805ebc428287df4f9,True,True,2024-06-12,2023-07-13,False,True
213
  πŸ’¬,stabilityai/stablelm-2-1_6b-chat,8.63,30.6,0.31,7.49,0.34,1.06,0.01,0.0,0.25,5.71,0.36,6.91,0.16,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",StableLmForCausalLM,Original,bfloat16,True,other,1,26,True,f3fe67057c2789ae1bb1fe42b038da99840d4f13,True,True,2024-06-12,2024-04-08,True,True
214
  🟒,internlm/internlm2-1_8b,8.58,21.98,0.22,13.63,0.39,1.13,0.01,0.0,0.25,8.23,0.38,6.54,0.16,🟒 pretrained,InternLM2ForCausalLM,Original,bfloat16,True,other,8,25,True,c24f301c7374ad9f9b58d1ea80f68b5f57cbca13,True,True,2024-06-12,2024-01-30,False,True
215
  🟒,NousResearch/Yarn-Llama-2-13b-128k,8.39,16.55,0.17,13.51,0.38,1.13,0.01,1.12,0.26,3.39,0.35,14.67,0.23,🟒 pretrained,LlamaForCausalLM,Original,bfloat16,True,,13,113,True,4e3e87a067f64f8814c83dd5e3bad92dcf8a2391,True,True,2024-06-13,2023-08-30,False,True
216
- πŸ”Ά,Nexusflow/NexusRaven-V2-13B,8.3,17.91,0.18,15.34,0.39,1.81,0.02,1.34,0.26,3.71,0.37,9.69,0.19,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,bfloat16,True,other,13,450,True,cdab7132db4a4fd64513123374ea1451d85a7ace,True,True,2024-06-12,2023-12-04,False,True
217
  🟒,bigcode/starcoder2-7b,8.21,22.09,0.22,11.4,0.37,2.57,0.03,0.22,0.25,5.82,0.38,7.14,0.16,🟒 pretrained,Starcoder2ForCausalLM,Original,bfloat16,True,bigcode-openrail-m,7,144,True,a3d33687b51284b528abeb17830776ffd24892a9,True,True,2024-06-09,2024-02-20,False,True
218
  πŸ”Ά,togethercomputer/Llama-2-7B-32K-Instruct,8.17,21.3,0.21,8.56,0.34,1.06,0.01,0.22,0.25,9.2,0.41,8.68,0.18,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,float16,True,llama2,7,160,True,d27380af003252f5eb0d218e104938b4e673e3f3,True,True,2024-06-12,2023-08-08,False,True
219
  🟒,deepseek-ai/deepseek-llm-7b-base,8.1,21.79,0.22,9.77,0.35,1.21,0.01,3.13,0.27,3.76,0.37,8.96,0.18,🟒 pretrained,LlamaForCausalLM,Original,bfloat16,True,other,7,30,True,7683fea62db869066ddaff6a41d032262c490d4f,True,True,2024-06-12,2023-11-29,False,True
220
  πŸ’¬,google/recurrentgemma-2b-it,8.06,29.49,0.29,8.11,0.33,1.74,0.02,1.01,0.26,3.62,0.34,4.41,0.14,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",RecurrentGemmaForCausalLM,Original,bfloat16,True,gemma,2,101,True,150248167d171fbdf4b02e7d28a4b3d749e570f6,True,True,2024-06-12,2024-04-08,True,True
221
  πŸ’¬,google/gemma-1.1-2b-it,7.78,30.67,0.31,5.86,0.32,0.15,0.0,2.57,0.27,2.02,0.34,5.37,0.15,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",GemmaForCausalLM,Original,bfloat16,True,gemma,2,133,True,bf4924f313df5166dee1467161e886e55f2eb4d4,True,True,2024-06-12,2024-03-26,True,True
222
- 🟒,ibm-granite/granite-7b-base,7.75,24.14,0.24,9.05,0.35,0.6,0.01,0.0,0.25,3.4,0.36,9.27,0.18,🟒 pretrained,LlamaForCausalLM,Original,bfloat16,True,apache-2.0,6,18,True,23fcb4cb5b69f8a122fb944491e9f1ad664ba37b,True,True,2024-06-12,2024-04-19,False,True
223
  πŸ”Ά,VAGOsolutions/SauerkrautLM-Gemma-2b,7.58,24.75,0.25,9.13,0.34,1.96,0.02,0.89,0.26,3.51,0.37,5.21,0.15,πŸ”Ά fine-tuned on domain-specific datasets,GemmaForCausalLM,Original,bfloat16,True,other,2,8,True,f9d5575c23da96f33ce77dea3b0776746b9469bc,True,True,2024-06-26,2024-03-06,True,False
224
  🟒,deepseek-ai/deepseek-moe-16b-base,7.37,24.5,0.24,8.36,0.34,1.81,0.02,0.56,0.25,3.36,0.37,5.61,0.15,🟒 pretrained,DeepseekForCausalLM,Original,bfloat16,True,other,16,76,True,521d2bc4fb69a3f3ae565310fcc3b65f97af2580,True,False,2024-06-12,2024-01-08,False,True
225
- 🟒,google/gemma-2b,7.27,20.38,0.2,8.25,0.34,2.72,0.03,0.67,0.26,7.56,0.4,4.06,0.14,🟒 pretrained,GemmaForCausalLM,Original,bfloat16,True,gemma,2,802,True,2ac59a5d7bf4e1425010f0d457dde7d146658953,True,True,2024-06-12,2024-02-08,False,True
226
  🟒,stabilityai/stablelm-3b-4e1t,7.26,22.03,0.22,9.01,0.35,0.68,0.01,0.0,0.24,4.42,0.38,7.43,0.17,🟒 pretrained,StableLmForCausalLM,Original,bfloat16,True,cc-by-sa-4.0,2,305,True,fa4a6a92fca83c3b4223a3c9bf792887090ebfba,True,True,2024-06-12,2023-09-29,False,True
227
  πŸ’¬,google/gemma-2b-it,7.22,26.9,0.27,5.21,0.32,0.45,0.0,3.8,0.28,3.03,0.33,3.92,0.14,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",GemmaForCausalLM,Original,bfloat16,True,gemma,2,589,True,de144fb2268dee1066f515465df532c05e699d48,True,True,2024-06-12,2024-02-08,True,True
228
  πŸ”Ά,cgato/TheSalt-L3-8b-v0.3.2,7.19,27.05,0.27,2.61,0.3,3.47,0.03,2.13,0.27,6.3,0.39,1.55,0.11,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,bfloat16,True,cc-by-nc-4.0,8,1,True,5cf08e2bf9590ebcd14ba021e113def28c65afa2,True,True,2024-06-26,2024-06-18,True,False
229
  🟒,NousResearch/Yarn-Llama-2-7b-64k,7.12,17.0,0.17,7.04,0.33,0.98,0.01,1.9,0.26,6.93,0.39,8.87,0.18,🟒 pretrained,LlamaForCausalLM,Original,bfloat16,True,,7,23,True,08491431ac3b50add7443f5d4c02850801d877be,True,True,2024-06-13,2023-08-30,False,True
230
- 🟒,Qwen/Qwen2-0.5B,7.06,18.67,0.19,7.99,0.33,2.57,0.03,0.78,0.26,4.6,0.38,7.76,0.17,🟒 pretrained,Qwen2ForCausalLM,Original,bfloat16,True,apache-2.0,0,53,True,ff3a49fac17555b8dfc4db6709f480cc8f16a9fe,True,True,2024-06-09,2024-05-31,False,True
231
  🟒,microsoft/phi-1_5,7.06,20.33,0.2,7.47,0.34,1.13,0.01,2.35,0.27,3.39,0.34,7.68,0.17,🟒 pretrained,PhiForCausalLM,Original,float16,True,mit,1,1296,True,675aa382d814580b22651a30acb1a585d7c25963,True,True,2024-06-09,2023-09-10,False,True
232
  🟒,google/recurrentgemma-2b,6.94,30.02,0.3,5.01,0.32,1.66,0.02,0.0,0.25,2.94,0.34,1.99,0.12,🟒 pretrained,RecurrentGemmaForCausalLM,Original,bfloat16,True,gemma,2,89,True,195f13c55b371fc721eda0662c00c64642c70e17,True,True,2024-06-13,2024-04-06,False,True
233
  🟒,databricks/dolly-v1-6b,6.89,22.24,0.22,4.78,0.32,1.36,0.01,1.9,0.26,8.12,0.4,2.95,0.13,🟒 pretrained,GPTJForCausalLM,Original,bfloat16,True,cc-by-nc-4.0,6,310,True,c9a85b3a322b402e20c839c702c725afe0cb454d,True,True,2024-06-12,2023-03-23,False,True
@@ -236,24 +241,24 @@ T,Model,Average ⬆️,IFEval,IFEval Raw,BBH,BBH Raw,MATH Lvl 5,MATH Lvl 5 Raw,G
236
  🟒,NousResearch/Yarn-Llama-2-7b-128k,6.69,14.85,0.15,6.14,0.32,0.76,0.01,1.34,0.26,8.25,0.4,8.79,0.18,🟒 pretrained,LlamaForCausalLM,Original,bfloat16,True,,7,38,True,e1ceedbbf2ed28b88086794441a6c05606d15437,True,True,2024-06-13,2023-08-31,False,True
237
  🟒,EleutherAI/gpt-j-6b,6.55,25.22,0.25,4.91,0.32,1.21,0.01,0.0,0.25,5.25,0.37,2.68,0.12,🟒 pretrained,GPTJForCausalLM,Original,bfloat16,True,apache-2.0,6,1388,True,47e169305d2e8376be1d31e765533382721b2cc1,True,True,2024-06-12,2022-03-02,False,True
238
  🟒,bigcode/starcoder2-3b,6.54,20.37,0.2,8.91,0.35,1.44,0.01,0.0,0.24,1.43,0.34,7.07,0.16,🟒 pretrained,Starcoder2ForCausalLM,Original,bfloat16,True,bigcode-openrail-m,3,124,True,733247c55e3f73af49ce8e9c7949bf14af205928,True,True,2024-06-09,2023-11-29,False,True
239
- 🟒,gpt2,6.54,18.08,0.18,2.67,0.3,0.23,0.0,1.12,0.26,15.35,0.45,1.77,0.12,🟒 pretrained,GPT2LMHeadModel,Original,bfloat16,True,mit,0,2091,True,607a30d783dfa663caf39e06633721c8d4cfcd7e,True,True,2024-06-09,2022-03-02,False,True
240
  🟩,BEE-spoke-data/smol_llama-220M-GQA-fineweb_edu,6.52,19.88,0.2,2.31,0.29,0.0,0.0,1.23,0.26,14.26,0.44,1.41,0.11,🟩 continuously pretrained,LlamaForCausalLM,Original,bfloat16,True,apache-2.0,0,1,True,dec16b41d5e94070dbc1f8449a554373fd4cc1d1,True,True,2024-06-26,2024-06-08,False,False
241
- 🟒,openai-community/gpt2,6.51,17.93,0.18,2.67,0.3,0.23,0.0,1.12,0.26,15.35,0.45,1.77,0.12,🟒 pretrained,GPT2LMHeadModel,Original,bfloat16,True,mit,0,2091,True,607a30d783dfa663caf39e06633721c8d4cfcd7e,True,True,2024-06-12,2022-03-02,False,True
242
  🟒,allenai/OLMo-1B-hf,6.47,21.82,0.22,3.2,0.31,0.76,0.01,1.57,0.26,9.56,0.41,1.93,0.12,🟒 pretrained,OlmoForCausalLM,Original,bfloat16,True,apache-2.0,1,10,True,8e995430edd24416ccfa98b5b283fa07b0c9f1a9,True,True,2024-06-12,2024-04-12,False,True
243
  🟒,BEE-spoke-data/smol_llama-220M-GQA,6.4,23.86,0.24,3.04,0.3,0.0,0.0,0.78,0.26,9.07,0.41,1.66,0.11,🟒 pretrained,LlamaForCausalLM,Original,bfloat16,True,apache-2.0,0,11,True,8845b1d3c0bc73522ef2700aab467183cbdca9f7,True,True,2024-06-26,2023-12-22,False,False
244
- πŸ’¬,Qwen/Qwen2-0.5B-Instruct,6.39,22.47,0.22,5.88,0.32,1.66,0.02,0.0,0.25,2.41,0.34,5.9,0.15,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",Qwen2ForCausalLM,Original,bfloat16,True,apache-2.0,0,96,True,c291d6fce4804a1d39305f388dd32897d1f7acc4,True,True,2024-06-12,2024-06-03,True,True
245
  πŸ”Ά,databricks/dolly-v2-12b,6.38,23.55,0.24,6.38,0.33,1.44,0.01,0.0,0.24,5.5,0.37,1.43,0.11,πŸ”Ά fine-tuned on domain-specific datasets,GPTNeoXForCausalLM,Original,bfloat16,True,mit,12,1946,True,19308160448536e378e3db21a73a751579ee7fdd,True,True,2024-06-12,2023-04-11,False,True
246
  🟒,EleutherAI/gpt-neo-2.7B,6.34,25.9,0.26,4.18,0.31,0.53,0.01,2.13,0.27,3.52,0.36,1.81,0.12,🟒 pretrained,GPTNeoForCausalLM,Original,bfloat16,True,mit,2,399,True,e24fa291132763e59f4a5422741b424fb5d59056,True,True,2024-06-12,2022-03-02,False,True
247
  πŸ”Ά,togethercomputer/RedPajama-INCITE-7B-Instruct,6.33,20.55,0.21,7.91,0.34,1.36,0.01,0.11,0.25,5.03,0.37,3.03,0.13,πŸ”Ά fine-tuned on domain-specific datasets,GPTNeoXForCausalLM,Original,float16,True,apache-2.0,7,104,True,7f36397b9985a3f981cdb618f8fec1c565ca5927,True,True,2024-06-12,2023-05-05,False,True
248
  🟒,facebook/opt-30b,6.2,24.53,0.25,3.5,0.31,0.6,0.01,2.57,0.27,4.19,0.36,1.82,0.12,🟒 pretrained,OPTForCausalLM,Original,float16,True,other,30,133,True,ceea0a90ac0f6fae7c2c34bcb40477438c152546,True,True,2024-06-12,2022-05-11,False,True
249
  🟒,EleutherAI/gpt-neox-20b,5.99,25.87,0.26,4.93,0.32,0.6,0.01,0.0,0.24,2.82,0.36,1.73,0.12,🟒 pretrained,GPTNeoXForCausalLM,Original,float16,True,apache-2.0,20,504,True,c292233c833e336628618a88a648727eb3dff0a7,True,True,2024-06-09,2022-04-07,False,True
250
  🟒,mosaicml/mpt-7b,5.98,21.52,0.22,6.55,0.33,1.28,0.01,1.34,0.26,2.9,0.37,2.29,0.12,🟒 pretrained,MPTForCausalLM,Original,bfloat16,True,apache-2.0,7,1150,True,039e37745f00858f0e01e988383a8c4393b1a4f5,True,True,2024-06-08,2023-05-05,False,True
251
- 🟒,gpt2,5.98,8.33,0.08,9.2,0.31,0.0,0.0,0.0,0.23,18.33,0.43,0.0,0.1,🟒 pretrained,GPT2LMHeadModel,Original,float16,True,mit,0,2091,True,607a30d783dfa663caf39e06633721c8d4cfcd7e,True,True,2024-06-26,2022-03-02,False,True
252
  🟒,EleutherAI/pythia-12b,5.93,24.71,0.25,4.99,0.32,0.91,0.01,0.0,0.25,3.79,0.36,1.21,0.11,🟒 pretrained,GPTNeoXForCausalLM,Original,float16,True,apache-2.0,12,129,True,35c9d7f32fbb108fb8b5bdd574eb03369d1eed49,True,True,2024-06-12,2023-02-28,False,True
253
  🟒,EleutherAI/pythia-6.9b,5.85,22.81,0.23,5.88,0.32,0.76,0.01,0.22,0.25,3.81,0.36,1.63,0.11,🟒 pretrained,GPTNeoXForCausalLM,Original,float16,True,apache-2.0,6,41,True,f271943e880e60c0c715fd10e4dc74ec4e31eb44,True,True,2024-06-12,2023-02-14,False,True
254
  πŸ”Ά,Josephgflowers/TinyLlama-Cinder-Agent-v1,5.82,26.7,0.27,3.8,0.31,0.38,0.0,0.0,0.24,2.23,0.34,1.79,0.12,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,float16,True,mit,1,0,True,a9cd8b48bfe30f29bb1f819213da9a4c41eee67f,True,True,2024-06-26,2024-05-21,True,False
255
  🟒,openai-community/gpt2-medium,5.81,22.08,0.22,2.72,0.31,0.23,0.0,1.68,0.26,6.16,0.39,2.02,0.12,🟒 pretrained,GPT2LMHeadModel,Original,bfloat16,True,mit,0,134,True,6dcaa7a952f72f9298047fd5137cd6e4f05f41da,True,True,2024-06-12,2022-03-02,False,True
256
- 🟒,google/gemma-2-9b,5.67,24.73,0.25,5.05,0.32,0.15,0.0,0.0,0.24,2.58,0.36,1.51,0.11,🟒 pretrained,Gemma2ForCausalLM,Original,bfloat16,True,gemma,9,468,True,beb0c08e9eeb0548f3aca2ac870792825c357b7d,True,True,2024-07-11,2024-06-24,False,True
257
  πŸ”Ά,togethercomputer/RedPajama-INCITE-Instruct-3B-v1,5.66,21.24,0.21,4.51,0.31,0.6,0.01,0.0,0.25,6.41,0.39,1.22,0.11,πŸ”Ά fine-tuned on domain-specific datasets,GPTNeoXForCausalLM,Original,float16,True,apache-2.0,3,91,True,0c66778ee09a036886741707733620b91057909a,True,True,2024-06-12,2023-05-05,False,True
258
  🟒,EleutherAI/pythia-160m,5.62,18.16,0.18,2.2,0.3,0.23,0.0,1.12,0.26,10.68,0.42,1.33,0.11,🟒 pretrained,GPTNeoXForCausalLM,Original,float16,True,apache-2.0,0,21,True,50f5173d932e8e61f858120bcb800b97af589f46,True,True,2024-06-09,2023-02-08,False,True
259
  πŸ”Ά,databricks/dolly-v2-7b,5.57,20.1,0.2,5.45,0.32,0.98,0.01,2.46,0.27,2.78,0.36,1.66,0.11,πŸ”Ά fine-tuned on domain-specific datasets,GPTNeoXForCausalLM,Original,bfloat16,True,mit,7,146,True,d632f0c8b75b1ae5b26b250d25bfba4e99cb7c6f,True,True,2024-06-12,2023-04-13,False,True
@@ -270,7 +275,7 @@ T,Model,Average ⬆️,IFEval,IFEval Raw,BBH,BBH Raw,MATH Lvl 5,MATH Lvl 5 Raw,G
270
  🟒,facebook/opt-1.3b,5.25,23.83,0.24,3.65,0.31,0.76,0.01,0.0,0.24,2.08,0.34,1.19,0.11,🟒 pretrained,OPTForCausalLM,Original,float16,True,other,1,142,True,3f5c25d0bc631cb57ac65913f76e22c2dfb61d62,True,True,2024-06-12,2022-05-11,False,True
271
  πŸ’¬,microsoft/DialoGPT-medium,5.25,14.79,0.15,2.56,0.3,0.0,0.0,0.56,0.25,12.28,0.43,1.32,0.11,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",GPT2LMHeadModel,Original,bfloat16,True,mit,0,307,True,7b40bb0f92c45fefa957d088000d8648e5c7fa33,True,True,2024-06-13,2022-03-02,True,True
272
  🟒,stabilityai/stablelm-2-1_6b,5.22,11.57,0.12,8.63,0.34,0.15,0.0,0.0,0.25,5.79,0.39,5.15,0.15,🟒 pretrained,StableLmForCausalLM,Original,float16,True,other,1,174,True,8879812cccd176fbbe9ceb747b815bcc7d6499f8,True,True,2024-06-12,2024-01-18,False,True
273
- 🟒,Qwen/Qwen1.5-0.5B,5.14,17.06,0.17,5.04,0.32,0.45,0.0,0.56,0.25,4.3,0.36,3.41,0.13,🟒 pretrained,Qwen2ForCausalLM,Original,bfloat16,True,other,0,133,True,8f445e3628f3500ee69f24e1303c9f10f5342a39,True,True,2024-06-13,2024-01-22,False,True
274
  🟒,EleutherAI/pythia-410m,5.11,21.95,0.22,2.72,0.3,0.3,0.0,1.23,0.26,3.06,0.36,1.42,0.11,🟒 pretrained,GPTNeoXForCausalLM,Original,float16,True,apache-2.0,0,20,True,9879c9b5f8bea9051dcb0e68dff21493d67e9d4f,True,True,2024-06-09,2023-02-13,False,True
275
  🟒,tiiuae/falcon-7b,5.1,18.21,0.18,5.96,0.33,0.53,0.01,0.0,0.24,4.5,0.38,1.39,0.11,🟒 pretrained,FalconForCausalLM,Original,bfloat16,True,apache-2.0,7,1054,True,898df1396f35e447d5fe44e0a3ccaaaa69f30d36,True,True,2024-06-09,2023-04-24,False,True
276
  πŸ’¬,tiiuae/falcon-7b-instruct,5.02,19.69,0.2,4.82,0.32,0.6,0.01,0.0,0.25,3.25,0.36,1.73,0.12,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",FalconForCausalLM,Original,bfloat16,True,apache-2.0,7,886,True,cf4b3c42ce2fdfe24f753f0f0d179202fea59c99,True,True,2024-06-09,2023-04-25,False,True
@@ -283,12 +288,12 @@ T,Model,Average ⬆️,IFEval,IFEval Raw,BBH,BBH Raw,MATH Lvl 5,MATH Lvl 5 Raw,G
283
  🟒,bigscience/bloom-1b7,3.97,10.44,0.1,4.4,0.31,0.08,0.0,1.12,0.26,6.84,0.39,0.96,0.11,🟒 pretrained,BloomForCausalLM,Original,bfloat16,True,bigscience-bloom-rail-1.0,1,116,True,cc72a88036c2fb937d65efeacc57a0c2ef5d6fe5,True,True,2024-06-13,2022-05-19,False,True
284
  πŸ”Ά,togethercomputer/RedPajama-INCITE-7B-Chat,3.96,15.58,0.16,4.5,0.32,0.15,0.0,0.34,0.25,1.86,0.34,1.35,0.11,πŸ”Ά fine-tuned on domain-specific datasets,GPTNeoXForCausalLM,Original,float16,True,apache-2.0,7,92,True,47b94a739e2f3164b438501c8684acc5d5acc146,True,True,2024-06-13,2023-05-04,False,True
285
  🟒,bigscience/bloom-1b1,3.96,13.73,0.14,4.04,0.31,0.15,0.0,1.23,0.26,3.42,0.37,1.2,0.11,🟒 pretrained,BloomForCausalLM,Original,bfloat16,True,bigscience-bloom-rail-1.0,1,54,True,eb3dd7399312f5f94fd13f41d2f318117d3eb1e4,True,True,2024-06-13,2022-05-19,False,True
286
- πŸ”Ά,IDEA-CCNL/Ziya-LLaMA-13B-v1,3.91,16.97,0.17,1.46,0.29,0.0,0.0,0.0,0.25,3.88,0.38,1.12,0.11,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,float16,True,gpl-3.0,13,272,True,64d931f346e1a49ea3bbca07a83137075bab1c66,True,True,2024-06-12,2023-05-16,False,True
287
- 🟒,distilbert/distilgpt2,3.9,6.11,0.06,2.84,0.3,0.0,0.0,1.23,0.26,11.16,0.42,2.08,0.12,🟒 pretrained,GPT2LMHeadModel,Original,bfloat16,True,apache-2.0,0,385,True,2290a62682d06624634c1f46a6ad5be0f47f38aa,True,True,2024-06-12,2022-03-02,False,True
288
  πŸ”Ά,RWKV/rwkv-raven-14b,3.89,7.68,0.08,6.76,0.33,0.0,0.0,0.0,0.23,7.19,0.4,1.67,0.12,πŸ”Ά fine-tuned on domain-specific datasets,RwkvForCausalLM,Original,float16,True,,14,56,False,359c0649b4f1d10a26ebea32908035bc00d152ee,True,True,2024-07-08,2023-05-05,False,False
289
  🟒,bigscience/bloom-7b1,3.71,13.22,0.13,4.04,0.31,0.0,0.0,1.9,0.26,1.92,0.35,1.16,0.11,🟒 pretrained,BloomForCausalLM,Original,float16,True,bigscience-bloom-rail-1.0,7,187,True,6232703e399354503377bf59dfbb8397fd569e4a,True,True,2024-06-13,2022-05-19,False,True
290
  πŸ”Ά,OpenAssistant/oasst-sft-1-pythia-12b,3.67,10.55,0.11,4.78,0.31,1.44,0.01,1.01,0.26,2.99,0.33,1.25,0.11,πŸ”Ά fine-tuned on domain-specific datasets,GPTNeoXForCausalLM,Original,float16,True,apache-2.0,12,279,True,293df535fe7711a5726987fc2f17dfc87de452a1,True,True,2024-06-12,2023-03-09,False,True
291
  🟒,bigscience/bloom-560m,3.46,6.2,0.06,2.89,0.3,0.08,0.0,1.57,0.26,8.19,0.4,1.83,0.12,🟒 pretrained,BloomForCausalLM,Original,bfloat16,True,bigscience-bloom-rail-1.0,0,328,True,ac2ae5fab2ce3f9f40dc79b5ca9f637430d24971,True,True,2024-06-13,2022-05-19,False,True
292
  πŸ”Ά,pankajmathur/orca_mini_3b,3.07,7.42,0.07,4.69,0.32,0.53,0.01,0.0,0.25,4.2,0.33,1.61,0.11,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,bfloat16,True,cc-by-nc-sa-4.0,3,158,True,31e1a7bc3f7ea2f247b432d60036d975b8d590e9,True,True,2024-06-26,2023-06-22,False,False
293
- 🟒,LiteAI/Hare-1.1B-base,1.95,0.12,0.0,1.72,0.29,0.0,0.0,1.23,0.26,7.58,0.4,1.04,0.11,🟒 pretrained,MistralForCausalLM,Original,float16,True,apache-2.0,1,7,True,c4faddb2163d8d940b422035e67f4c13cb8c2cb1,True,True,2024-06-27,2024-06-05,False,False
294
  πŸ”Ά,pankajmathur/orca_mini_v6_8b,1.41,1.11,0.01,3.22,0.3,0.0,0.0,0.0,0.24,2.77,0.36,1.38,0.11,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,bfloat16,True,llama3,8,1,True,e95dc8e4c6b6ca5957b657cc2d905683142eaf3e,True,True,2024-06-26,2024-06-02,True,False
 
1
  T,Model,Average ⬆️,IFEval,IFEval Raw,BBH,BBH Raw,MATH Lvl 5,MATH Lvl 5 Raw,GPQA,GPQA Raw,MUSR,MUSR Raw,MMLU-PRO,MMLU-PRO Raw,Type,Architecture,Weight type,Precision,Not_Merged,Hub License,#Params (B),Hub ❀️,Available on the hub,Model sha,Flagged,MoE,Submission Date,Upload To Hub Date,Chat Template,Maintainer's Highlight
2
+ πŸ’¬,MaziyarPanahi/Qwen2-72B-Instruct-v0.1,43.61,81.63,0.82,57.33,0.7,36.03,0.36,17.45,0.38,20.15,0.47,49.05,0.54,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",Qwen2ForCausalLM,Original,bfloat16,True,other,72,7,True,0369c39770f45f2464587918f2dbdb8449ea3a0d,True,True,2024-06-26,2024-06-08,True,False
3
+ πŸ’¬,Qwen/Qwen2-72B-Instruct,42.49,79.89,0.8,57.48,0.7,35.12,0.35,16.33,0.37,17.17,0.46,48.92,0.54,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",Qwen2ForCausalLM,Original,bfloat16,True,other,72,552,True,1af63c698f59c4235668ec9c1395468cb7cd7e79,True,True,2024-06-26,2024-05-28,False,True
4
  πŸ”Ά,pankajmathur/orca_mini_v7_72b,39.06,59.3,0.59,55.06,0.68,26.44,0.26,18.01,0.39,24.21,0.51,51.35,0.56,πŸ”Ά fine-tuned on domain-specific datasets,Qwen2ForCausalLM,Original,bfloat16,True,apache-2.0,72,4,True,447f11912cfa496e32e188a55214043a05760d3a,True,True,2024-06-26,2024-06-26,False,False
5
+ πŸ’¬,MaziyarPanahi/Llama-3-70B-Instruct-DPO-v0.2,37.98,82.08,0.82,48.57,0.64,22.96,0.23,12.19,0.34,15.3,0.44,46.74,0.52,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",LlamaForCausalLM,Original,bfloat16,True,llama3,70,13,True,95366b974baedee4d95c1e841bc3d15e94753804,True,True,2024-06-26,2024-04-27,True,False
6
+ πŸ’¬,meta-llama/Meta-Llama-3-70B-Instruct,36.18,80.99,0.81,50.19,0.65,23.34,0.23,4.92,0.29,10.92,0.42,46.74,0.52,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",LlamaForCausalLM,Original,bfloat16,True,llama3,70,1322,True,7129260dd854a80eb10ace5f61c20324b472b31c,True,True,2024-06-12,2024-04-17,True,True
7
  πŸ”Ά,Sao10K/L3-70B-Euryale-v2.1,35.35,73.84,0.74,48.7,0.65,20.85,0.21,10.85,0.33,12.25,0.42,45.6,0.51,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,bfloat16,True,cc-by-nc-4.0,70,86,True,36ad832b771cd783ea7ad00ed39e61f679b1a7c6,True,True,2024-07-01,2024-06-11,True,False
8
+ πŸ”Ά,migtissera/Llama-3-70B-Synthia-v3.5,35.2,60.76,0.61,49.12,0.65,18.96,0.19,18.34,0.39,23.39,0.49,40.65,0.47,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,float16,True,llama3,70,5,True,8744db0bccfc18f1847633da9d29fc89b35b4190,True,True,2024-06-26,2024-05-26,True,False
9
+ 🟒,Qwen/Qwen2-72B,35.13,38.24,0.38,51.86,0.66,29.15,0.29,19.24,0.39,19.73,0.47,52.56,0.57,🟒 pretrained,Qwen2ForCausalLM,Original,bfloat16,True,other,72,156,True,87993795c78576318087f70b43fbf530eb7789e7,True,True,2024-06-26,2024-05-22,False,True
10
  πŸ”Ά,Sao10K/L3-70B-Euryale-v2.1,35.11,72.81,0.73,49.19,0.65,20.24,0.2,10.85,0.33,12.05,0.42,45.51,0.51,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,float16,True,cc-by-nc-4.0,70,86,True,36ad832b771cd783ea7ad00ed39e61f679b1a7c6,True,True,2024-06-26,2024-06-11,True,False
11
+ πŸ’¬,mistralai/Mixtral-8x22B-Instruct-v0.1,33.89,71.84,0.72,44.11,0.61,18.73,0.19,16.44,0.37,13.49,0.43,38.7,0.45,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",MixtralForCausalLM,Original,bfloat16,True,apache-2.0,140,628,True,b0c3516041d014f640267b14feb4e9a84c8e8c71,True,False,2024-06-12,2024-04-16,True,True
12
  πŸ’¬,HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1,33.77,65.11,0.65,47.5,0.63,18.35,0.18,17.11,0.38,14.72,0.45,39.85,0.46,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",MixtralForCausalLM,Original,float16,True,apache-2.0,140,254,True,a3be084543d278e61b64cd600f28157afc79ffd3,True,True,2024-06-12,2024-04-10,True,True
13
+ πŸ”Ά,migtissera/Tess-v2.5.2-Qwen2-72B,33.28,44.94,0.45,52.31,0.66,27.42,0.27,13.42,0.35,10.89,0.42,50.68,0.56,πŸ”Ά fine-tuned on domain-specific datasets,Qwen2ForCausalLM,Original,bfloat16,True,other,72,9,True,0435e634ad9bc8b1172395a535b78e6f25f3594f,True,True,2024-07-01,2024-06-13,True,False
14
  πŸ’¬,microsoft/Phi-3-medium-4k-instruct,32.67,64.23,0.64,49.38,0.64,16.99,0.17,11.52,0.34,13.05,0.43,40.84,0.47,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",Phi3ForCausalLM,Original,bfloat16,True,mit,13,175,True,d194e4e74ffad5a5e193e26af25bcfc80c7f1ffc,True,True,2024-06-12,2024-05-07,True,True
15
+ πŸ’¬,01-ai/Yi-1.5-34B-Chat,32.63,60.67,0.61,44.26,0.61,23.34,0.23,15.32,0.36,13.06,0.43,39.12,0.45,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",LlamaForCausalLM,Original,bfloat16,True,apache-2.0,34,203,True,f3128b2d02d82989daae566c0a7eadc621ca3254,True,True,2024-06-12,2024-05-10,True,True
16
  πŸ”Ά,alpindale/WizardLM-2-8x22B,32.61,52.72,0.53,48.58,0.64,22.28,0.22,17.56,0.38,14.54,0.44,39.96,0.46,πŸ”Ά fine-tuned on domain-specific datasets,MixtralForCausalLM,Original,bfloat16,True,apache-2.0,140,362,True,087834da175523cffd66a7e19583725e798c1b4f,True,True,2024-06-28,2024-04-16,False,False
17
  πŸ’¬,MaziyarPanahi/Llama-3-70B-Instruct-DPO-v0.4,32.18,50.27,0.5,48.4,0.64,22.66,0.23,11.97,0.34,13.1,0.43,46.71,0.52,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",LlamaForCausalLM,Original,bfloat16,True,llama3,70,10,True,cb03e4d810b82d86e7cb01ab146bade09a5d06d1,True,True,2024-06-26,2024-04-28,True,False
18
  πŸ’¬,cognitivecomputations/dolphin-2.9.2-qwen2-72b,32.0,40.38,0.4,47.7,0.63,21.37,0.21,16.0,0.37,17.04,0.45,49.52,0.55,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",Qwen2ForCausalLM,Original,bfloat16,True,other,72,46,True,e79582577c2bf2af304221af0e8308b7e7d46ca1,True,True,2024-06-27,2024-05-27,True,True
19
  πŸ’¬,MTSAIR/MultiVerse_70B,31.73,52.49,0.52,46.14,0.62,16.16,0.16,13.87,0.35,18.82,0.47,42.89,0.49,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",LlamaForCausalLM,Original,bfloat16,True,other,72,37,True,063430cdc4d972a0884e3e3e3d45ea4afbdf71a2,True,True,2024-06-29,2024-03-25,False,False
20
+ πŸ’¬,CohereForAI/c4ai-command-r-plus,30.86,76.64,0.77,39.92,0.58,7.55,0.08,7.38,0.31,20.42,0.48,33.24,0.4,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",CohereForCausalLM,Original,float16,True,cc-by-nc-4.0,103,1584,True,fa1bd7fb1572ceb861bbbbecfa8af83b29fa8cca,True,True,2024-06-13,2024-04-03,True,True
21
+ πŸ’¬,internlm/internlm2_5-7b-chat,30.46,61.4,0.61,57.67,0.71,8.31,0.08,10.63,0.33,14.35,0.44,30.42,0.37,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",InternLM2ForCausalLM,Original,float16,True,other,7,95,True,bebb00121ee105b823647c3ba2b1e152652edc33,True,True,2024-07-03,2024-06-27,True,True
22
  🟒,Qwen/Qwen1.5-110B,29.56,34.22,0.34,44.28,0.61,23.04,0.23,13.65,0.35,13.71,0.44,48.45,0.54,🟒 pretrained,Qwen2ForCausalLM,Original,bfloat16,True,other,111,87,True,16659038ecdcc771c1293cf47020fa7cc2750ee8,True,True,2024-06-13,2024-04-25,False,True
23
  πŸ”Ά,abacusai/Smaug-72B-v0.1,29.56,51.7,0.52,42.42,0.59,17.75,0.18,9.62,0.32,15.39,0.45,40.46,0.46,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,bfloat16,True,other,72,460,True,a1d657156f82c24b670158406378648233487011,True,True,2024-06-12,2024-02-02,False,True
24
  πŸ’¬,Qwen/Qwen1.5-110B-Chat,29.22,59.39,0.59,44.98,0.62,0.0,0.0,12.19,0.34,16.29,0.45,42.5,0.48,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",Qwen2ForCausalLM,Original,bfloat16,True,other,111,117,True,85f86cec25901f2dbd870a86e06756903c9a876a,True,True,2024-06-12,2024-04-25,True,True
25
+ πŸ’¬,01-ai/Yi-1.5-34B-Chat-16K,28.98,45.64,0.46,44.54,0.61,18.81,0.19,11.74,0.34,13.74,0.44,39.38,0.45,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",LlamaForCausalLM,Original,bfloat16,True,apache-2.0,34,25,True,ff74452e11f0f749ab872dc19b1dd3813c25c4d8,True,True,2024-07-15,2024-05-15,True,True
26
  πŸ’¬,microsoft/Phi-3-small-128k-instruct,28.75,63.44,0.63,45.57,0.62,0.0,0.0,9.84,0.32,14.7,0.44,38.94,0.45,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",Phi3SmallForCausalLM,Original,bfloat16,True,mit,7,142,True,f80aaa30bfc64c2b8ab214b541d9050e97163bc4,True,True,2024-06-13,2024-05-07,True,True
27
  πŸ’¬,Azure99/blossom-v5.1-34b,28.36,56.97,0.57,44.13,0.61,14.43,0.14,7.94,0.31,7.3,0.39,39.4,0.45,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",LlamaForCausalLM,Original,bfloat16,True,apache-2.0,34,2,True,2c803204f5dbf4ce37e2df98eb0205cdc53de10d,True,True,2024-07-01,2024-05-19,True,False
28
  πŸ’¬,01-ai/Yi-1.5-9B-Chat,27.71,60.46,0.6,36.95,0.56,11.63,0.12,11.3,0.33,12.84,0.43,33.06,0.4,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",LlamaForCausalLM,Original,bfloat16,True,apache-2.0,8,113,True,bc87d8557c98dc1e5fdef6ec23ed31088c4d3f35,True,True,2024-06-12,2024-05-10,True,True
29
+ πŸ’¬,microsoft/Phi-3-mini-4k-instruct,27.2,54.77,0.55,36.56,0.55,14.2,0.14,10.96,0.33,13.12,0.43,33.58,0.4,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",Phi3ForCausalLM,Original,float16,True,mit,3,881,True,c1358f8a35e6d2af81890deffbbfa575b978c62f,True,True,2024-07-02,2024-04-22,True,True
30
  πŸ’¬,Qwen/Qwen1.5-32B-Chat,27.1,55.32,0.55,44.55,0.61,6.65,0.07,7.49,0.31,10.2,0.42,38.41,0.45,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",Qwen2ForCausalLM,Original,bfloat16,True,other,32,103,True,0997b012af6ddd5465d40465a8415535b2f06cfc,True,True,2024-06-12,2024-04-03,True,True
31
  πŸ’¬,NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO,26.95,58.7,0.59,37.17,0.55,10.27,0.1,9.62,0.32,16.28,0.46,29.63,0.37,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",MixtralForCausalLM,Original,bfloat16,True,apache-2.0,46,396,True,286ae6737d048ad1d965c2e830864df02db50f2f,True,False,2024-06-12,2024-01-11,True,True
32
  πŸ’¬,deepseek-ai/deepseek-llm-67b-chat,26.87,55.87,0.56,33.23,0.52,6.65,0.07,8.84,0.32,23.93,0.51,32.71,0.39,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",LlamaForCausalLM,Original,bfloat16,True,other,67,171,True,79648bef7658bb824e4630740f6e1484c1b0620b,True,True,2024-06-12,2023-11-29,True,True
 
34
  🟒,Qwen/Qwen1.5-32B,26.69,32.97,0.33,38.98,0.57,26.66,0.27,10.63,0.33,12.04,0.43,38.89,0.45,🟒 pretrained,Qwen2ForCausalLM,Original,bfloat16,True,other,32,77,True,cefef80dc06a65f89d1d71d0adbc56d335ca2490,True,True,2024-06-13,2024-04-01,False,True
35
  πŸ”Ά,MaziyarPanahi/Llama-3-8B-Instruct-v0.10,26.66,76.67,0.77,27.92,0.49,4.91,0.05,7.83,0.31,10.81,0.42,31.8,0.39,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,bfloat16,True,other,8,2,True,4411eb9f6f5e4c462a6bdbc64c26dcc123100b66,True,True,2024-06-26,2024-06-04,True,False
36
  🟒,01-ai/Yi-1.5-34B-32K,26.4,31.19,0.31,43.38,0.6,13.44,0.13,15.1,0.36,14.08,0.44,41.21,0.47,🟒 pretrained,LlamaForCausalLM,Original,bfloat16,True,apache-2.0,34,34,True,2c03a29761e4174f20347a60fbe229be4383d48b,True,True,2024-06-12,2024-05-15,False,True
37
+ 🟒,meta-llama/Meta-Llama-3-70B,26.37,16.03,0.16,48.71,0.65,16.54,0.17,19.69,0.4,16.01,0.45,41.21,0.47,🟒 pretrained,LlamaForCausalLM,Original,bfloat16,True,llama3,70,775,True,b4d08b7db49d488da3ac49adf25a6b9ac01ae338,True,True,2024-06-12,2024-04-17,False,True
38
+ πŸ’¬,microsoft/Phi-3-mini-4k-instruct,25.97,56.13,0.56,39.27,0.57,11.63,0.12,9.28,0.32,7.64,0.4,31.85,0.39,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",Phi3ForCausalLM,Original,bfloat16,True,mit,3,881,True,ff07dc01615f8113924aed013115ab2abd32115b,True,True,2024-06-12,2024-04-22,True,True
39
+ πŸ”Ά,Sao10K/L3-8B-Stheno-v3.2,25.76,68.73,0.69,32.02,0.52,8.53,0.09,8.05,0.31,6.45,0.38,30.76,0.38,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,bfloat16,True,cc-by-nc-4.0,8,173,True,4bb828f6e1b1efd648c39b1ad682c44ff260f018,True,True,2024-06-30,2024-06-05,True,False
40
  πŸ”Ά,Nitral-AI/Hathor_Stable-v0.2-L3-8B,25.7,71.75,0.72,32.83,0.53,9.21,0.09,4.92,0.29,5.56,0.38,29.96,0.37,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,bfloat16,True,other,8,38,True,1c9f391c3e349f8ba51b5696290ee6db6a2b63fd,True,True,2024-07-02,2024-06-09,True,False
41
  πŸ”Ά,cognitivecomputations/dolphin-2.9.2-Phi-3-Medium-abliterated,25.59,36.13,0.36,45.44,0.61,12.39,0.12,10.4,0.33,10.36,0.41,38.82,0.45,πŸ”Ά fine-tuned on domain-specific datasets,MistralForCausalLM,Original,float16,True,mit,13,12,True,d50be5f22ca9745a2a3175996611d6a840318b7f,True,True,2024-06-27,2024-06-03,False,True
42
  🟒,mistral-community/mixtral-8x22B-v0.3,25.55,25.83,0.26,45.73,0.63,16.84,0.17,17.0,0.38,7.46,0.4,40.44,0.46,🟒 pretrained,MixtralForCausalLM,Original,bfloat16,True,apache-2.0,140,3,True,211b177b79ab5ef245ee334d106c27623e786882,True,False,2024-06-13,2024-05-25,False,True
43
+ 🟒,mistralai/Mixtral-8x22B-v0.1,25.49,25.83,0.26,45.59,0.62,16.84,0.17,16.78,0.38,7.46,0.4,40.44,0.46,🟒 pretrained,MixtralForCausalLM,Original,bfloat16,True,apache-2.0,140,171,True,b03e260818710044a2f088d88fab12bb220884fb,True,False,2024-06-12,2024-04-16,False,True
44
+ πŸ’¬,microsoft/Phi-3-mini-128k-instruct,25.49,59.76,0.6,37.1,0.56,8.91,0.09,9.06,0.32,7.71,0.39,30.38,0.37,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",Phi3ForCausalLM,Original,bfloat16,True,mit,3,1481,True,5be6479b4bc06a081e8f4c6ece294241ccd32dec,True,True,2024-06-12,2024-04-22,True,True
45
  🟒,01-ai/Yi-1.5-34B,25.43,28.41,0.28,42.75,0.6,14.05,0.14,15.44,0.37,11.22,0.42,40.73,0.47,🟒 pretrained,LlamaForCausalLM,Original,bfloat16,True,apache-2.0,34,44,True,4b486f81c935a2dadde84c6baa1e1370d40a098f,True,True,2024-06-12,2024-05-11,False,True
46
  πŸ’¬,CohereForAI/c4ai-command-r-v01,25.35,67.48,0.67,34.56,0.54,0.0,0.0,7.61,0.31,16.13,0.45,26.33,0.34,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",CohereForCausalLM,Original,float16,True,cc-by-nc-4.0,34,1033,True,16881ccde1c68bbc7041280e6a66637bc46bfe88,True,True,2024-06-13,2024-03-11,True,True
47
  πŸ”Ά,pankajmathur/orca_mini_v3_70b,25.26,40.15,0.4,42.98,0.59,3.63,0.04,9.06,0.32,25.12,0.51,30.64,0.38,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,bfloat16,True,other,70,23,True,e8e856dfb5c737d1906b50f9e65fd3a4f8d77422,True,True,2024-06-26,2023-08-10,False,False
48
+ πŸ’¬,databricks/dbrx-instruct,25.2,54.16,0.54,35.96,0.54,6.87,0.07,12.19,0.34,12.2,0.43,29.81,0.37,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",DbrxForCausalLM,Original,bfloat16,True,other,131,1091,True,c0a9245908c187da8f43a81e538e67ff360904ea,True,True,2024-06-12,2024-03-26,True,True
49
  🟒,Qwen/Qwen2-57B-A14B,25.03,31.13,0.31,38.88,0.56,18.66,0.19,7.49,0.31,10.54,0.42,43.51,0.49,🟒 pretrained,Qwen2MoeForCausalLM,Original,bfloat16,True,apache-2.0,57,41,True,973e466c39ba76372a2ae464dbca0af3f5a5a2a9,True,False,2024-06-13,2024-05-22,False,True
50
  πŸ”Ά,jpacifico/Chocolatine-3B-Instruct-DPO-v1.0,25.0,37.37,0.37,36.55,0.55,15.26,0.15,8.72,0.32,19.47,0.48,32.63,0.39,πŸ”Ά fine-tuned on domain-specific datasets,Phi3ForCausalLM,Original,float16,True,apache-2.0,3,0,True,98d049b8f8c305cfba81adae498a95e6b5647d4a,True,True,2024-07-11,2024-07-11,False,False
51
+ πŸ’¬,Qwen/Qwen2-7B-Instruct,24.76,56.79,0.57,37.81,0.55,8.61,0.09,6.38,0.3,7.37,0.39,31.64,0.38,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",Qwen2ForCausalLM,Original,bfloat16,True,apache-2.0,7,403,True,41c66b0be1c3081f13defc6bdf946c2ef240d6a6,True,True,2024-06-12,2024-06-04,True,True
52
  πŸ’¬,Azure99/blossom-v5.1-9b,24.69,50.86,0.51,34.2,0.53,10.5,0.1,11.41,0.34,8.02,0.4,33.16,0.4,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",LlamaForCausalLM,Original,bfloat16,True,apache-2.0,8,1,True,6044a3dc1e04529fe883aa513d37f266a320d793,True,True,2024-07-01,2024-05-15,True,False
53
  πŸ”Ά,NousResearch/Hermes-2-Theta-Llama-3-8B,24.62,65.18,0.65,32.05,0.52,8.69,0.09,7.16,0.3,8.36,0.39,26.32,0.34,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,bfloat16,True,apache-2.0,8,180,True,885173e97ab8572b444f7db1290d5d0386e26816,True,True,2024-07-11,2024-05-05,True,True
54
  πŸ’¬,CohereForAI/aya-23-35B,24.62,64.62,0.65,34.86,0.54,2.64,0.03,5.93,0.29,13.47,0.43,26.18,0.34,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",CohereForCausalLM,Original,float16,True,cc-by-nc-4.0,34,223,True,31d6fd858f20539a55401c7ad913086f54d9ca2c,True,True,2024-06-12,2024-05-19,True,True
55
  πŸ”Ά,ZeusLabs/L3-Aethora-15B-V2,24.57,72.08,0.72,28.97,0.5,7.33,0.07,5.03,0.29,6.25,0.39,27.78,0.35,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,bfloat16,True,cc-by-sa-4.0,15,35,True,2c601f116c37dd912c89357dbdbef879a637997e,True,True,2024-06-27,2024-06-27,True,False
56
  πŸ’¬,MaziyarPanahi/Phi-3-mini-4k-instruct-v0.1,24.51,55.25,0.55,38.12,0.56,4.31,0.04,10.63,0.33,8.26,0.4,30.51,0.37,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",Phi3ForCausalLM,Original,bfloat16,True,mit,3,1,True,6764c79badacba5fa3584d2d2593d762caa1d17d,True,True,2024-06-26,2024-05-09,True,False
57
+ πŸ’¬,mistralai/Mixtral-8x7B-Instruct-v0.1,24.35,53.95,0.54,34.02,0.53,9.06,0.09,7.61,0.31,12.11,0.43,29.36,0.36,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",MixtralForCausalLM,Original,bfloat16,True,apache-2.0,46,3988,True,1e637f2d7cb0a9d6fb1922f305cb784995190a83,True,False,2024-06-12,2023-12-10,True,True
58
  πŸ’¬,argilla/notux-8x7b-v1,24.13,54.53,0.55,32.86,0.52,8.69,0.09,7.49,0.31,11.57,0.42,29.66,0.37,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",MixtralForCausalLM,Original,bfloat16,True,apache-2.0,46,163,True,0b29f9afcbae2ab4c5085638d8f5a7f6d44c6b17,True,False,2024-06-12,2023-12-12,True,True
59
+ 🀝,PJMixers/LLaMa-3-CursedStock-v2.0-8B,24.03,63.31,0.63,32.56,0.53,8.61,0.09,3.24,0.27,8.04,0.39,28.4,0.36,🀝 base merges and moerges,LlamaForCausalLM,Original,bfloat16,False,llama3,8,6,True,d47cc29df363f71ffaf6cd21ac4bdeefa27359db,True,True,2024-06-27,2024-06-26,True,False
60
  πŸ”Ά,Weyaxi/Einstein-v7-Qwen2-7B,24.01,41.0,0.41,32.84,0.52,15.18,0.15,6.6,0.3,14.06,0.44,34.4,0.41,πŸ”Ά fine-tuned on domain-specific datasets,Qwen2ForCausalLM,Original,bfloat16,True,other,7,30,True,d5a2f245bf98a40d196821bc378e10f35b4da81a,True,True,2024-06-26,2024-06-24,True,False
61
+ πŸ’¬,vicgalle/Roleplay-Llama-3-8B,23.94,73.2,0.73,28.55,0.5,8.69,0.09,1.45,0.26,1.68,0.35,30.09,0.37,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",LlamaForCausalLM,Original,float16,True,apache-2.0,8,30,True,57297eb57dcc2c116f061d9dda341094203da01b,True,True,2024-06-26,2024-04-19,True,False
62
+ πŸ’¬,meta-llama/Meta-Llama-3-8B-Instruct,23.91,74.08,0.74,28.24,0.5,8.69,0.09,1.23,0.26,1.6,0.36,29.6,0.37,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",LlamaForCausalLM,Original,bfloat16,True,llama3,8,3145,True,e1945c40cd546c78e41f1151f4db032b271faeaa,True,True,2024-06-12,2024-04-17,True,True
63
  πŸ’¬,01-ai/Yi-34B-Chat,23.9,46.99,0.47,37.62,0.56,4.31,0.04,11.74,0.34,8.36,0.4,34.37,0.41,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",LlamaForCausalLM,Original,bfloat16,True,apache-2.0,34,338,True,2e528b6a80fb064a0a746c5ca43114b135e30464,True,True,2024-06-12,2023-11-22,True,True
64
  πŸ’¬,abacusai/Smaug-34B-v0.1,23.76,50.16,0.5,34.26,0.54,0.0,0.0,10.63,0.33,8.13,0.4,39.37,0.45,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",LlamaForCausalLM,Original,bfloat16,True,apache-2.0,34,58,True,34d54c65a0247d5eb694973106c816d9c0ad3fc2,True,True,2024-06-12,2024-01-25,True,True
65
+ 🟒,Qwen/Qwen2-7B,23.66,31.49,0.31,34.71,0.53,18.81,0.19,7.27,0.3,14.32,0.44,35.37,0.42,🟒 pretrained,Qwen2ForCausalLM,Original,bfloat16,True,apache-2.0,7,94,True,453ed1575b739b5b03ce3758b23befdb0967f40e,True,True,2024-06-09,2024-06-04,False,True
66
  πŸ’¬,NousResearch/Nous-Hermes-2-SOLAR-10.7B,23.32,52.79,0.53,34.99,0.54,5.21,0.05,5.82,0.29,13.83,0.44,27.31,0.35,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",LlamaForCausalLM,Original,bfloat16,True,apache-2.0,10,201,True,14c1fbe2f71acdcd58247b30d5439bd572d52386,True,True,2024-06-12,2024-01-01,True,True
67
  πŸ”Ά,UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3,23.31,68.28,0.68,29.74,0.51,7.33,0.07,2.01,0.27,3.09,0.37,29.38,0.36,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,bfloat16,True,apache-2.0,8,66,True,f73dafc2923acd56f115f21f76e9d14f8d19a63e,True,True,2024-07-02,2024-06-25,True,False
68
  πŸ’¬,MaziyarPanahi/Phi-3-mini-4k-instruct-v0.2,23.21,50.69,0.51,37.73,0.55,2.34,0.02,9.51,0.32,7.7,0.4,31.27,0.38,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",Phi3ForCausalLM,Original,bfloat16,True,mit,3,2,True,c0a366a4c01d7e724ceba7e2f2c19251983423fe,True,True,2024-06-26,2024-05-10,True,False
69
+ πŸ’¬,google/gemma-2-9b-it,23.18,76.95,0.77,38.55,0.57,0.0,0.0,12.42,0.34,9.38,0.4,1.78,0.12,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",Gemma2ForCausalLM,Original,bfloat16,True,gemma,9,278,True,1937c70277fcc5f7fb0fc772fc5bc69378996e71,True,True,2024-07-11,2024-06-24,True,True
70
  πŸ’¬,UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3,23.06,67.03,0.67,29.72,0.51,7.18,0.07,2.01,0.27,2.89,0.36,29.53,0.37,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",LlamaForCausalLM,Original,float16,True,apache-2.0,8,66,True,f73dafc2923acd56f115f21f76e9d14f8d19a63e,True,True,2024-06-28,2024-06-25,True,False
71
  πŸ’¬,MaziyarPanahi/Phi-3-mini-4k-instruct-v0.3,23.02,49.26,0.49,37.66,0.55,2.95,0.03,9.06,0.32,7.75,0.4,31.42,0.38,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",Phi3ForCausalLM,Original,bfloat16,True,mit,3,9,True,e1f70c3724c728aadd1c7c1bb279487494f7059e,True,True,2024-06-26,2024-05-10,True,False
72
  πŸ’¬,LLM360/K2-Chat,22.93,51.52,0.52,33.79,0.54,1.59,0.02,7.49,0.31,16.82,0.46,26.34,0.34,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",LlamaForCausalLM,Original,bfloat16,True,apache-2.0,65,30,True,5454f2d28031c9127e4227c873ca2f154e02e4c7,True,True,2024-06-12,2024-05-22,True,True
73
  πŸ’¬,01-ai/Yi-1.5-9B-Chat-16K,22.9,42.14,0.42,31.5,0.52,12.61,0.13,7.83,0.31,10.04,0.41,33.26,0.4,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",LlamaForCausalLM,Original,bfloat16,True,apache-2.0,8,29,True,2b397e5f0fab87984efa66856c5c4ed4bbe68b50,True,True,2024-06-12,2024-05-15,True,True
74
  πŸ’¬,refuelai/Llama-3-Refueled,22.73,46.2,0.46,41.72,0.59,3.93,0.04,6.6,0.3,14.64,0.45,23.28,0.31,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",LlamaForCausalLM,Original,bfloat16,True,cc-by-nc-4.0,8,185,True,ff6d1c3ba37b31d4af421951c2300f2256fb3691,True,True,2024-06-12,2024-05-03,True,True
75
+ πŸ”Ά,openchat/openchat-3.6-8b-20240522,22.69,53.59,0.54,33.23,0.53,7.33,0.07,9.06,0.32,8.18,0.4,24.77,0.32,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,bfloat16,True,llama3,8,130,True,2264eb98558978f708e88ae52afb78e43b832801,True,True,2024-06-26,2024-05-07,True,True
76
  πŸ”Ά,openchat/openchat-3.5-0106,22.59,59.51,0.6,24.17,0.46,6.5,0.06,8.17,0.31,11.75,0.43,25.46,0.33,πŸ”Ά fine-tuned on domain-specific datasets,MistralForCausalLM,Original,bfloat16,True,apache-2.0,7,339,True,ff058fda49726ecf4ea53dc1635f917cdb8ba36b,True,True,2024-06-27,2024-01-07,True,True
77
  πŸ’¬,openchat/openchat-3.5-1210,22.56,60.37,0.6,23.24,0.45,6.87,0.07,6.82,0.3,14.28,0.44,23.81,0.31,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",MistralForCausalLM,Original,bfloat16,True,apache-2.0,7,274,True,801f5459b7577241500785f11c2b026912badd6e,True,True,2024-06-12,2023-12-12,True,True
78
  πŸ”Ά,pankajmathur/orca_mini_v7_7b,22.41,43.88,0.44,33.95,0.53,2.64,0.03,6.15,0.3,12.66,0.44,35.19,0.42,πŸ”Ά fine-tuned on domain-specific datasets,Qwen2ForCausalLM,Original,bfloat16,True,apache-2.0,7,2,True,f5e84ff6ea25fb4585908ea45d1520bac416d803,True,True,2024-06-26,2024-06-20,False,False
79
  πŸ”Ά,WizardLMTeam/WizardLM-70B-V1.0,22.32,49.51,0.5,37.54,0.56,3.47,0.03,2.13,0.27,14.09,0.44,27.18,0.34,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,float16,True,llama2,70,230,True,54aaecaff7d0790eb9f0ecea1cc267a94cc66949,True,True,2024-06-12,2023-08-09,False,True
80
+ πŸ’¬,mistralai/Mistral-Nemo-Instruct-2407,22.27,62.61,0.63,27.11,0.49,0.3,0.0,8.72,0.32,8.48,0.39,26.37,0.34,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",MistralForCausalLM,Original,bfloat16,True,,13,0,True,4d14c1db68fe20dbf80b8eca85d39b909c5fe1d5,True,True,2024-07-19,,True,True
81
  🟒,01-ai/Yi-34B,22.26,30.46,0.3,35.54,0.55,4.46,0.04,15.55,0.37,9.65,0.41,37.91,0.44,🟒 pretrained,LlamaForCausalLM,Original,bfloat16,True,apache-2.0,34,1267,True,e1e7da8c75cfd5c44522228599fd4d2990cedd1c,True,True,2024-06-12,2023-11-01,False,True
82
  πŸ”Ά,mlabonne/Daredevil-8B,22.13,45.48,0.45,31.63,0.52,8.99,0.09,7.72,0.31,7.53,0.39,31.45,0.38,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,bfloat16,False,other,8,24,True,717953c83631cc9adf2dddccfff06739308f10f7,True,True,2024-07-02,2024-05-25,True,True
83
  πŸ’¬,01-ai/Yi-1.5-6B-Chat,22.05,48.02,0.48,23.55,0.46,12.54,0.13,9.06,0.32,14.7,0.44,24.41,0.32,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",LlamaForCausalLM,Original,bfloat16,True,apache-2.0,6,32,True,3f64d3f159c6ad8494227bb77e2a7baef8cd808b,True,True,2024-06-12,2024-05-11,True,True
 
87
  🟒,01-ai/Yi-1.5-9B,21.95,29.36,0.29,30.5,0.51,10.2,0.1,17.23,0.38,12.03,0.43,32.4,0.39,🟒 pretrained,LlamaForCausalLM,Original,bfloat16,True,apache-2.0,8,42,True,8cfde9604384c50137bee480b8cef8a08e5ae81d,True,True,2024-06-12,2024-05-11,False,True
88
  πŸ’¬,NousResearch/Nous-Hermes-2-Mixtral-8x7B-SFT,21.78,57.31,0.57,30.59,0.51,1.74,0.02,6.94,0.3,11.14,0.42,22.96,0.31,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",MixtralForCausalLM,Original,bfloat16,True,apache-2.0,46,55,True,4c06af2684730f75a6874b95e8bf6058105d9612,True,False,2024-06-12,2023-12-26,True,True
89
  πŸ’¬,NousResearch/Hermes-2-Pro-Mistral-7B,21.64,56.68,0.57,29.43,0.5,4.83,0.05,3.13,0.27,14.13,0.44,21.63,0.29,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",MistralForCausalLM,Original,bfloat16,True,apache-2.0,7,478,True,09317b1d8da639b5d9af77c06aa17cde0f0f91c0,True,True,2024-06-12,2024-03-11,True,True
90
+ πŸ’¬,NousResearch/Hermes-2-Pro-Llama-3-8B,21.63,53.62,0.54,30.67,0.51,5.74,0.06,5.7,0.29,11.25,0.43,22.8,0.31,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",LlamaForCausalLM,Original,float16,True,llama3,8,385,True,bc265d1781299ed2045214289c927c207439a729,True,True,2024-06-13,2024-04-30,True,True
91
  πŸ’¬,openchat/openchat_3.5,21.52,59.31,0.59,21.58,0.44,6.57,0.07,6.49,0.3,11.26,0.42,23.93,0.32,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",MistralForCausalLM,Original,bfloat16,True,apache-2.0,7,1105,True,0fc98e324280bc4bf5d2c30ecf7b97b84fb8a19b,True,True,2024-06-12,2023-10-30,True,True
92
  πŸ”Ά,mlabonne/NeuralDaredevil-8B-abliterated,21.5,41.62,0.42,29.76,0.51,8.53,0.09,7.05,0.3,10.9,0.41,31.13,0.38,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,bfloat16,True,other,8,108,True,89b01e3292e031ed85ad21545849182f5627021e,True,True,2024-06-27,2024-05-27,False,True
93
+ πŸ”Ά,Intel/neural-chat-7b-v3-2,21.43,49.88,0.5,30.24,0.5,4.53,0.05,5.37,0.29,20.06,0.49,18.52,0.27,πŸ”Ά fine-tuned on domain-specific datasets,MistralForCausalLM,Original,float16,True,apache-2.0,7,55,True,0d8f77647810d21d935ea90c66d6339b85e65a75,True,True,2024-06-12,2023-11-21,False,True
94
  πŸ’¬,teknium/OpenHermes-2-Mistral-7B,21.33,52.86,0.53,29.25,0.49,3.85,0.04,4.47,0.28,16.06,0.45,21.46,0.29,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",MistralForCausalLM,Original,bfloat16,True,apache-2.0,7,256,True,4c6e34123b140ce773a8433cae5410949289102c,True,True,2024-06-12,2023-10-12,True,True
95
+ πŸ’¬,teknium/OpenHermes-2.5-Mistral-7B,21.22,55.71,0.56,27.77,0.49,4.46,0.04,4.47,0.28,12.06,0.42,22.83,0.31,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",MistralForCausalLM,Original,bfloat16,True,apache-2.0,7,796,True,24c0bea14d53e6f67f1fbe2eca5bfe7cae389b33,True,True,2024-06-12,2023-10-29,True,True
96
+ πŸ’¬,Qwen/Qwen1.5-14B-Chat,21.02,47.68,0.48,32.76,0.52,0.0,0.0,2.68,0.27,13.93,0.44,29.09,0.36,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",Qwen2ForCausalLM,Original,bfloat16,True,other,14,104,True,9492b22871f43e975435455f5c616c77fe7a50ec,True,True,2024-06-12,2024-01-30,True,True
97
  πŸ’¬,NousResearch/Nous-Hermes-2-Mistral-7B-DPO,21.01,57.63,0.58,27.79,0.49,4.23,0.04,5.7,0.29,8.33,0.4,22.39,0.3,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",MistralForCausalLM,Original,bfloat16,True,apache-2.0,7,160,True,ebec0a691037d38955727d6949798429a63929dd,True,True,2024-06-12,2024-02-18,True,True
98
  πŸ”Ά,Intel/neural-chat-7b-v3-1,21.0,46.87,0.47,29.74,0.51,3.17,0.03,5.37,0.29,22.24,0.5,18.64,0.27,πŸ”Ά fine-tuned on domain-specific datasets,MistralForCausalLM,Original,float16,True,apache-2.0,7,545,True,c0d379a49c1c0579529d5e6f2e936ddb759552a8,True,True,2024-06-12,2023-11-14,False,True
99
+ 🀝,maldv/badger-lambda-llama-3-8b,20.76,48.61,0.49,28.1,0.5,8.31,0.08,4.25,0.28,4.52,0.38,30.74,0.38,🀝 base merges and moerges,LlamaForCausalLM,Original,bfloat16,True,cc-by-nc-4.0,8,7,True,8ef157d0d3c12212ca5e70d354869aed90e03f22,True,True,2024-06-26,2024-06-10,True,False
100
  πŸ’¬,berkeley-nest/Starling-LM-7B-alpha,20.64,54.8,0.55,21.95,0.44,7.18,0.07,6.26,0.3,9.5,0.41,24.13,0.32,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",MistralForCausalLM,Original,bfloat16,True,apache-2.0,7,551,True,1dddf3b95bc1391f6307299eb1c162c194bde9bd,True,True,2024-06-12,2023-11-25,True,True
101
+ πŸ”Ά,SanjiWatsuki/Kunoichi-DPO-v2-7B,20.41,54.31,0.54,20.9,0.44,6.57,0.07,6.15,0.3,11.09,0.42,23.41,0.31,πŸ”Ά fine-tuned on domain-specific datasets,MistralForCausalLM,Original,float16,True,cc-by-nc-4.0,7,71,True,5278247beb482c4fceff2294570236d68b74d132,True,True,2024-06-28,2024-01-13,True,False
102
  πŸ”Ά,pankajmathur/orca_mini_v6_8b_dpo,20.29,38.83,0.39,32.48,0.52,5.51,0.06,6.82,0.3,9.26,0.41,28.85,0.36,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,bfloat16,True,llama3,8,1,True,ebb11b63839d38e8c03c7ecac012e047fcb2346e,True,True,2024-06-26,2024-06-21,False,False
103
  🟒,Qwen/Qwen1.5-14B,20.22,29.05,0.29,30.06,0.51,16.47,0.16,5.93,0.29,10.46,0.42,29.37,0.36,🟒 pretrained,Qwen2ForCausalLM,Original,bfloat16,True,other,14,36,True,dce4b190d34470818e5bec2a92cb8233aaa02ca2,True,True,2024-06-13,2024-01-22,False,True
104
  πŸ”Ά,pankajmathur/orca_mini_v5_8b,20.16,48.06,0.48,29.35,0.51,7.85,0.08,4.92,0.29,7.7,0.4,23.07,0.31,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,bfloat16,True,llama3,8,2,True,f57c84d4cc0b3b74549458c0d38e868bd7fffad1,True,True,2024-06-26,2024-05-26,False,False
105
+ πŸ”Ά,Sao10K/Fimbulvetr-11B-v2,20.03,51.0,0.51,22.66,0.45,0.45,0.0,5.59,0.29,14.92,0.44,25.57,0.33,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,float16,True,cc-by-nc-4.0,10,135,True,b2dcd534dc3a53ff84e60a53b87816185169be19,True,True,2024-07-01,2024-02-06,True,False
106
  🀝,OmnicromsBrain/NeuralStar_FusionWriter_4x7b,20.01,59.64,0.6,26.04,0.48,4.53,0.05,3.8,0.28,8.2,0.4,17.84,0.26,🀝 base merges and moerges,MixtralForCausalLM,Original,float16,False,apache-2.0,24,0,True,fbe296d2c76acbb792cdd22e14d1c8bb13723839,True,False,2024-07-01,2024-06-07,True,False
107
  πŸ’¬,Weyaxi/Einstein-v6.1-Llama3-8B,19.99,45.68,0.46,29.38,0.5,5.74,0.06,4.25,0.28,11.23,0.42,23.68,0.31,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",LlamaForCausalLM,Original,bfloat16,True,other,8,61,True,5cab6d54666b6024d0f745d61abf1842edb934e0,True,True,2024-06-26,2024-04-19,True,False
108
  πŸ”Ά,Intel/neural-chat-7b-v3-3,19.99,47.63,0.48,27.75,0.49,0.68,0.01,5.26,0.29,20.58,0.49,18.05,0.26,πŸ”Ά fine-tuned on domain-specific datasets,MistralForCausalLM,Original,float16,True,apache-2.0,7,73,True,bdd31cf498d13782cc7497cba5896996ce429f91,True,True,2024-06-12,2023-12-09,False,True
 
114
  🟒,01-ai/Yi-1.5-9B-32K,19.61,23.03,0.23,28.94,0.5,9.59,0.1,14.54,0.36,10.83,0.42,30.72,0.38,🟒 pretrained,LlamaForCausalLM,Original,bfloat16,True,apache-2.0,8,18,True,116561dfae63af90f9d163b43077629e0e916bb1,True,True,2024-06-12,2024-05-15,False,True
115
  🀝,johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.5-gamma-0.01,19.38,32.04,0.32,27.67,0.49,0.0,0.0,6.94,0.3,23.62,0.51,26.05,0.33,🀝 base merges and moerges,LlamaForCausalLM,Original,bfloat16,False,apache-2.0,8,0,True,6ab1392c825907b08eff8fbed4c97a3e6e0d6dd9,True,True,2024-06-26,2024-06-07,False,False
116
  🀝,mlabonne/Beyonder-4x7B-v3,19.31,56.08,0.56,24.56,0.47,4.76,0.05,4.7,0.29,8.93,0.4,16.81,0.25,🀝 base merges and moerges,MixtralForCausalLM,Original,float16,False,cc-by-nc-4.0,24,56,True,8e923fa480f511ab54d79b44b0487768bdd3de4e,True,False,2024-06-12,2024-03-21,True,True
117
+ 🟒,mistralai/Mixtral-8x7B-v0.1,19.23,23.5,0.24,29.73,0.5,8.84,0.09,9.28,0.32,12.55,0.43,31.5,0.38,🟒 pretrained,MixtralForCausalLM,Original,bfloat16,True,apache-2.0,46,1595,True,985aa055896a8f943d4a9f2572e6ea1341823841,True,False,2024-06-12,2023-12-01,False,True
118
+ πŸ’¬,mistralai/Mistral-7B-Instruct-v0.3,19.11,54.65,0.55,25.57,0.47,3.17,0.03,3.91,0.28,4.3,0.37,23.06,0.31,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",MistralForCausalLM,Original,bfloat16,True,apache-2.0,7,817,True,83e9aa141f2e28c82232fea5325f54edf17c43de,True,True,2024-06-12,2024-05-22,True,True
119
  πŸ’¬,Weyaxi/Einstein-v6.1-developed-by-Weyaxi-Llama3-8B,19.05,39.27,0.39,29.69,0.5,5.59,0.06,3.13,0.27,13.39,0.43,23.25,0.31,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",LlamaForCausalLM,Original,bfloat16,True,other,8,1,True,b7507e94146c0832c26609e9ab8115934d3e25b3,True,True,2024-06-26,2024-06-23,True,False
120
  πŸ’¬,HuggingFaceH4/zephyr-7b-alpha,18.52,51.91,0.52,23.89,0.46,1.51,0.02,6.38,0.3,7.5,0.39,19.94,0.28,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",MistralForCausalLM,Original,bfloat16,True,mit,7,1085,True,2ce2d025864af849b3e5029e2ec9d568eeda892d,True,True,2024-06-12,2023-10-09,True,True
121
+ πŸ’¬,mistralai/Mistral-7B-Instruct-v0.2,18.44,54.96,0.55,22.91,0.45,2.64,0.03,3.47,0.28,7.61,0.4,19.08,0.27,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",MistralForCausalLM,Original,bfloat16,True,apache-2.0,7,2422,True,41b61a33a2483885c981aa79e0df6b32407ed873,True,True,2024-06-12,2023-12-11,True,True
122
+ πŸ’¬,cognitivecomputations/dolphin-2.9-llama3-8b,18.3,38.5,0.39,27.86,0.49,5.06,0.05,4.92,0.29,13.79,0.44,19.68,0.28,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",LlamaForCausalLM,Original,bfloat16,True,other,8,374,True,5aeb036f9215c558b483a654a8c6e1cc22e841bf,True,True,2024-06-12,2024-04-20,True,True
123
  🟒,meta-llama/Llama-2-70b-hf,18.25,24.07,0.24,35.9,0.55,2.49,0.02,7.05,0.3,9.78,0.41,30.2,0.37,🟒 pretrained,LlamaForCausalLM,Original,float16,True,llama2,68,820,True,3aba440b59558f995867ba6e1f58f21d0336b5bb,True,True,2024-06-12,2023-07-11,False,True
124
  πŸ”Ά,microsoft/Orca-2-13b,18.14,31.28,0.31,27.31,0.49,0.98,0.01,4.03,0.28,25.79,0.51,19.44,0.27,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,bfloat16,True,other,13,657,True,2539ff53e6baa4cc603774ad5a2d646f4041ea4e,True,True,2024-06-12,2023-11-14,False,True
125
+ πŸ’¬,gradientai/Llama-3-8B-Instruct-Gradient-1048k,18.12,44.56,0.45,21.01,0.43,4.38,0.04,3.69,0.28,13.52,0.43,21.56,0.29,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",LlamaForCausalLM,Original,bfloat16,True,llama3,8,654,True,8697fb25cb77c852311e03b4464b8467471d56a4,True,True,2024-06-12,2024-04-29,True,True
126
+ 🟒,THUDM/glm-4-9b,18.01,14.26,0.14,35.81,0.55,0.0,0.0,8.84,0.32,14.19,0.44,34.94,0.41,🟒 pretrained,ChatGLMModelM,Original,bfloat16,True,other,9,84,True,99a140996f9d4f197842fb6b1aab217a42e27ef3,True,True,2024-07-04,2024-06-04,False,False
127
  πŸ”Ά,Intel/neural-chat-7b-v3,17.94,27.78,0.28,30.21,0.5,2.19,0.02,5.59,0.29,23.02,0.51,18.87,0.27,πŸ”Ά fine-tuned on domain-specific datasets,MistralForCausalLM,Original,float16,True,apache-2.0,7,65,True,fc679274dfcd28a8b6087634f71af7ed2a0659c4,True,True,2024-06-12,2023-10-25,False,True
128
  πŸ’¬,HuggingFaceH4/zephyr-7b-beta,17.72,49.5,0.5,21.49,0.43,2.42,0.02,5.37,0.29,7.73,0.39,19.79,0.28,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",MistralForCausalLM,Original,bfloat16,True,mit,7,1524,True,b70e0c9a2d9e14bd1e812d3c398e5f313e93b473,True,True,2024-06-12,2023-10-26,True,True
129
+ πŸ’¬,Open-Orca/Mistral-7B-OpenOrca,17.62,49.78,0.5,25.84,0.48,2.95,0.03,2.91,0.27,5.89,0.39,18.37,0.27,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",MistralForCausalLM,Original,bfloat16,True,apache-2.0,7,665,True,4a37328cef00f524d3791b1c0cc559a3cc6af14d,True,True,2024-06-12,2023-09-29,True,True
130
  🟒,01-ai/Yi-9B,17.61,27.09,0.27,27.63,0.49,4.38,0.04,9.06,0.32,8.91,0.41,28.6,0.36,🟒 pretrained,LlamaForCausalLM,Original,bfloat16,True,apache-2.0,8,182,True,b4a466d95091696285409f1dcca3028543cb39da,True,True,2024-06-12,2024-03-01,False,True
131
  πŸ’¬,mlabonne/AlphaMonarch-7B,17.59,49.39,0.49,23.95,0.46,3.85,0.04,2.68,0.27,9.32,0.41,16.36,0.25,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",MistralForCausalLM,Original,float16,False,cc-by-nc-4.0,7,146,True,3de065d84411d74e5b3590f67f52b0b71faf6161,True,True,2024-06-12,2024-02-14,True,True
132
  🟒,01-ai/Yi-9B-200K,17.59,23.27,0.23,26.49,0.48,5.82,0.06,8.72,0.32,12.11,0.43,29.13,0.36,🟒 pretrained,LlamaForCausalLM,Original,bfloat16,True,apache-2.0,8,74,True,8c93accd5589dbb74ee938e103613508c4a9b88d,True,True,2024-06-12,2024-03-15,False,True
 
135
  πŸ’¬,google/gemma-1.1-7b-it,17.4,50.39,0.5,15.93,0.39,3.17,0.03,5.82,0.29,11.51,0.42,17.6,0.26,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",GemmaForCausalLM,Original,bfloat16,True,gemma,8,254,True,16128b0aeb50762ea96430c0c06a37941bf9f274,True,True,2024-06-12,2024-03-26,True,True
136
  πŸ”Ά,pankajmathur/Al_Dente_v1_8b,17.12,36.94,0.37,27.25,0.48,3.02,0.03,6.6,0.3,8.27,0.4,20.67,0.29,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,bfloat16,True,llama3,8,1,True,149d70e04085ecd90510a60f916efc55da1294e7,True,True,2024-06-26,2024-06-02,False,False
137
  πŸ”Ά,zhengr/MixTAO-7Bx2-MoE-v8.1,17.06,41.88,0.42,19.18,0.42,5.97,0.06,6.49,0.3,8.3,0.4,20.52,0.28,πŸ”Ά fine-tuned on domain-specific datasets,MixtralForCausalLM,Original,bfloat16,True,apache-2.0,12,51,True,828e963abf2db0f5af9ed0d4034e538fc1cf5f40,True,False,2024-06-27,2024-02-26,True,False
138
+ 🟒,upstage/SOLAR-10.7B-v1.0,16.77,24.21,0.24,29.79,0.51,2.11,0.02,4.14,0.28,13.68,0.44,26.67,0.34,🟒 pretrained,LlamaForCausalLM,Original,float16,True,apache-2.0,10,261,True,a45090b8e56bdc2b8e32e46b3cd782fc0bea1fa5,True,True,2024-06-12,2023-12-12,False,True
139
  πŸ’¬,ibm/merlinite-7b,16.74,24.99,0.25,29.98,0.5,2.34,0.02,6.26,0.3,13.88,0.44,22.98,0.31,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",MistralForCausalLM,Original,bfloat16,True,apache-2.0,7,101,True,233d12759d5bb9344231dafdb51310ec19d79c0e,True,True,2024-06-09,2024-03-02,False,True
140
  πŸ’¬,Weyaxi/Einstein-v4-7B,16.73,47.08,0.47,14.3,0.38,1.74,0.02,4.25,0.28,19.02,0.47,13.99,0.23,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",MistralForCausalLM,Original,bfloat16,True,other,7,47,True,7eecd9833b8a012e23ac1df789884888b047baa0,True,True,2024-06-26,2024-02-22,True,False
141
+ πŸ’¬,Qwen/Qwen1.5-7B-Chat,16.58,43.71,0.44,22.38,0.45,0.0,0.0,7.05,0.3,4.64,0.38,21.68,0.3,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",Qwen2ForCausalLM,Original,bfloat16,True,other,7,158,True,5f4f5e69ac7f1d508f8369e977de208b4803444b,True,True,2024-06-12,2024-01-30,True,True
142
+ πŸ”Ά,CausalLM/14B,16.53,27.88,0.28,24.78,0.47,3.32,0.03,7.05,0.3,11.47,0.42,24.68,0.32,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,bfloat16,True,wtfpl,14,297,True,cc054cf5953252d0709cb3267d1a85246e489e95,True,True,2024-06-12,2023-10-22,False,True
143
  🟒,01-ai/Yi-1.5-6B,16.47,26.11,0.26,21.94,0.45,5.66,0.06,8.28,0.31,13.51,0.44,23.34,0.31,🟒 pretrained,LlamaForCausalLM,Original,bfloat16,True,apache-2.0,6,23,True,cab51fce425b4c1fb19fccfdd96bd5d0908c1657,True,True,2024-06-12,2024-05-11,False,True
144
  πŸ’¬,stabilityai/stablelm-2-12b-chat,16.22,40.82,0.41,25.25,0.47,2.04,0.02,2.24,0.27,7.73,0.39,19.27,0.27,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",StableLmForCausalLM,Original,bfloat16,True,other,12,83,True,b6b62cd451b84e848514c00fafa66d9ead9297c5,True,True,2024-06-12,2024-04-04,True,True
145
  πŸ’¬,CohereForAI/aya-23-8B,15.97,46.99,0.47,20.2,0.43,1.44,0.01,4.59,0.28,8.42,0.39,14.2,0.23,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",CohereForCausalLM,Original,float16,True,cc-by-nc-4.0,8,323,True,ec151d218a24031eb039d92fb83d10445427efc9,True,True,2024-06-12,2024-05-19,True,True
146
  πŸ”Ά,pankajmathur/model_007_13b_v2,15.86,30.56,0.31,25.45,0.47,1.21,0.01,4.47,0.28,17.2,0.46,16.23,0.25,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,bfloat16,True,llama2,13,4,True,2c6ddf25cdb134f22e2543121b5a36b41342a9e2,True,True,2024-06-26,2023-08-12,False,False
147
  πŸ’¬,HuggingFaceH4/zephyr-7b-gemma-v0.1,15.83,33.64,0.34,24.05,0.46,6.65,0.07,5.93,0.29,4.18,0.37,20.53,0.28,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",GemmaForCausalLM,Original,bfloat16,True,other,8,120,True,03b3427d0ed07d2e0f86c0a7e53d82d4beef9540,True,True,2024-06-12,2024-03-01,True,True
148
  🟒,NousResearch/Yarn-Solar-10b-32k,15.62,19.42,0.19,28.99,0.5,2.42,0.02,7.05,0.3,10.6,0.41,25.25,0.33,🟒 pretrained,LlamaForCausalLM,Original,bfloat16,True,apache-2.0,10,10,True,ec3158b5276ac6644ddbdb36ccf6f9a106c98ede,True,True,2024-06-12,2024-01-17,False,True
149
+ 🟒,microsoft/phi-2,15.45,27.39,0.27,28.04,0.49,2.42,0.02,2.91,0.27,13.84,0.41,18.09,0.26,🟒 pretrained,PhiForCausalLM,Original,float16,True,mit,2,3205,True,ef382358ec9e382308935a992d908de099b64c23,True,True,2024-06-09,2023-12-13,False,True
150
  🀝,mlabonne/phixtral-2x2_8,15.39,34.31,0.34,28.5,0.49,2.57,0.03,2.01,0.27,7.71,0.36,17.23,0.26,🀝 base merges and moerges,PhiForCausalLM,Original,float16,True,mit,4,146,True,7744a977d83f132ae5808d8c3b70157031f7de44,True,False,2024-06-12,2024-01-07,True,True
151
+ 🟒,google/gemma-7b,15.28,26.59,0.27,21.12,0.44,6.42,0.06,4.92,0.29,10.98,0.41,21.64,0.29,🟒 pretrained,GemmaForCausalLM,Original,bfloat16,True,gemma,8,2974,True,a0eac5b80dba224e6ed79d306df50b1e92c2125d,True,True,2024-06-08,2024-02-08,False,True
152
  🟒,Qwen/Qwen1.5-7B,15.22,26.84,0.27,23.08,0.46,4.46,0.04,6.49,0.3,9.16,0.41,21.29,0.29,🟒 pretrained,Qwen2ForCausalLM,Original,bfloat16,True,other,7,42,True,831096e3a59a0789a541415da25ef195ceb802fe,True,True,2024-06-09,2024-01-22,False,True
153
  πŸ”Ά,WizardLMTeam/WizardLM-13B-V1.2,15.15,33.92,0.34,22.89,0.45,1.74,0.02,1.45,0.26,14.03,0.44,16.88,0.25,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,float16,True,llama2,13,218,True,cf5f40382559f19e13874e45b39575171ca46ef8,True,True,2024-06-12,2023-07-25,False,True
154
  πŸ’¬,TencentARC/LLaMA-Pro-8B-Instruct,15.14,44.86,0.45,19.49,0.42,1.66,0.02,3.24,0.27,11.11,0.42,10.51,0.19,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",LlamaForCausalLM,Original,bfloat16,True,llama2,8,58,True,9850c8afce19a69d8fc4a1603a82441157514016,True,True,2024-06-12,2024-01-06,True,True
155
+ 🟒,mistralai/Mistral-Nemo-Base-2407,15.08,16.3,0.16,29.37,0.5,4.98,0.05,5.82,0.29,6.52,0.39,27.46,0.35,🟒 pretrained,MistralForCausalLM,Original,bfloat16,True,,13,0,True,d2efb15544d5401f761235bef327babb850887d0,True,True,2024-07-19,,False,True
156
  🟒,NousResearch/Yarn-Solar-10b-64k,15.06,19.89,0.2,28.4,0.49,2.27,0.02,6.94,0.3,9.01,0.4,23.87,0.31,🟒 pretrained,LlamaForCausalLM,Original,bfloat16,True,apache-2.0,10,14,True,703818628a5e8ef637e48e8dbeb3662aa0497aff,True,True,2024-06-12,2024-01-17,False,True
157
  πŸ”Ά,pankajmathur/orca_mini_v3_13b,15.0,28.97,0.29,25.55,0.47,1.89,0.02,2.01,0.27,17.11,0.46,14.5,0.23,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,bfloat16,True,other,13,32,True,7d6e567d24ce2f228beaf54e89c17b0e750bfe99,True,True,2024-06-26,2023-08-09,False,False
158
+ 🟒,Deci/DeciLM-7B,14.95,28.13,0.28,21.25,0.44,2.42,0.02,6.04,0.3,13.05,0.44,18.8,0.27,🟒 pretrained,DeciLMForCausalLM,Original,bfloat16,True,apache-2.0,7,222,True,c3c9f4226801dc0433f32aebffe0aac68ee2f051,True,True,2024-06-12,2023-12-10,False,True
159
  πŸ’¬,mlabonne/OrpoLlama-3-8B,14.87,36.53,0.37,21.95,0.44,3.85,0.04,3.91,0.28,4.01,0.36,18.95,0.27,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",LlamaForCausalLM,Original,float16,True,other,8,52,True,7f200e4c84ad0daa3ff6bc414012d8d0bacbf90e,True,True,2024-06-12,2024-04-18,True,True
160
  πŸ’¬,Qwen/Qwen1.5-MoE-A2.7B-Chat,14.82,37.95,0.38,20.04,0.43,0.0,0.0,3.24,0.27,6.33,0.39,21.37,0.29,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",Qwen2MoeForCausalLM,Original,bfloat16,True,other,14,108,True,ec052fda178e241c7c443468d2fa1db6618996be,True,False,2024-06-12,2024-03-14,True,True
161
  πŸ’¬,deepseek-ai/deepseek-llm-7b-chat,14.77,41.71,0.42,11.26,0.36,1.74,0.02,2.13,0.27,19.21,0.47,12.59,0.21,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",LlamaForCausalLM,Original,bfloat16,True,other,7,72,True,afbda8b347ec881666061fa67447046fc5164ec8,True,True,2024-06-12,2023-11-29,True,True
162
+ 🟒,mistralai/Mistral-7B-v0.1,14.5,23.86,0.24,22.02,0.44,2.49,0.02,5.59,0.29,10.68,0.41,22.36,0.3,🟒 pretrained,MistralForCausalLM,Original,bfloat16,True,apache-2.0,7,3308,True,26bca36bde8333b5d7f72e9ed20ccda6a618af24,True,True,2024-06-12,2023-09-20,False,True
163
  πŸ”Ά,teknium/CollectiveCognition-v1.1-Mistral-7B,14.23,27.9,0.28,23.48,0.45,2.95,0.03,4.92,0.29,5.73,0.39,20.41,0.28,πŸ”Ά fine-tuned on domain-specific datasets,MistralForCausalLM,Original,float16,True,apache-2.0,7,78,True,5f57f70ec99450c70da2540e94dd7fd67be4b23c,True,True,2024-06-12,2023-10-04,False,True
164
  πŸ”Ά,TencentARC/Mistral_Pro_8B_v0.1,14.2,21.15,0.21,22.89,0.45,5.66,0.06,4.03,0.28,11.83,0.42,19.61,0.28,πŸ”Ά fine-tuned on domain-specific datasets,MistralForCausalLM,Original,bfloat16,True,apache-2.0,8,64,True,366f159fc5b314ba2a955209d2bca4600f84dac0,True,True,2024-06-12,2024-02-22,False,True
165
+ 🟒,mistralai/Mistral-7B-v0.3,14.17,22.66,0.23,24.04,0.45,2.64,0.03,5.59,0.29,8.36,0.4,21.7,0.3,🟒 pretrained,MistralForCausalLM,Original,bfloat16,True,apache-2.0,7,310,True,b67d6a03ca097c5122fa65904fce0413500bf8c8,True,True,2024-06-12,2024-05-22,False,True
166
  πŸ”Ά,microsoft/Orca-2-7b,14.15,21.99,0.22,22.57,0.45,0.83,0.01,0.78,0.26,24.09,0.5,14.65,0.23,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,bfloat16,True,other,7,208,True,60e31e6bdcf582ad103b807cb74b73ee1d2c4b17,True,True,2024-06-12,2023-11-14,False,True
167
  🟒,mistral-community/Mistral-7B-v0.2,14.15,22.66,0.23,23.95,0.45,2.64,0.03,5.59,0.29,8.36,0.4,21.7,0.3,🟒 pretrained,MistralForCausalLM,Original,bfloat16,True,apache-2.0,7,227,True,2c3e624962b1a3f3fbf52e15969565caa7bc064a,True,True,2024-06-12,2024-03-23,False,True
168
  πŸ’¬,01-ai/Yi-6B-Chat,14.0,33.95,0.34,17.0,0.41,0.68,0.01,5.93,0.29,3.57,0.37,22.9,0.31,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",LlamaForCausalLM,Original,bfloat16,True,apache-2.0,6,62,True,01f7fabb6cfb26efeb764da4a0a19cad2c754232,True,True,2024-06-12,2023-11-22,True,True
169
+ πŸ’¬,Qwen/Qwen2-1.5B-Instruct,13.92,33.71,0.34,13.7,0.39,5.82,0.06,1.57,0.26,12.03,0.43,16.68,0.25,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",Qwen2ForCausalLM,Original,bfloat16,True,apache-2.0,1,66,True,ba1cf1846d7df0a0591d6c00649f57e798519da8,True,True,2024-06-12,2024-06-03,True,True
170
  🟒,stabilityai/stablelm-2-12b,13.86,15.69,0.16,22.69,0.45,3.47,0.03,3.8,0.28,14.49,0.45,23.02,0.31,🟒 pretrained,StableLmForCausalLM,Original,bfloat16,True,other,12,108,True,fead13ddbf4492970666650c3cd6f85f485411ec,True,True,2024-06-12,2024-03-21,False,True
171
  πŸ”Ά,xinchen9/llama3-b8-ft-dis,13.85,15.46,0.15,24.73,0.46,3.17,0.03,8.39,0.31,6.41,0.37,24.93,0.32,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,float16,True,apache-2.0,8,0,True,e4da730f28f79543262de37908943c35f8df81fe,True,True,2024-07-11,2024-06-28,False,False
172
  πŸ”Ά,openchat/openchat_v3.2,13.81,29.81,0.3,20.32,0.43,1.13,0.01,2.68,0.27,13.1,0.43,15.8,0.24,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,bfloat16,True,llama2,13,42,True,acc7ce92558681e749678648189812f15c1465fe,True,True,2024-06-12,2023-07-30,False,True
173
+ 🟒,tiiuae/falcon-11B,13.78,32.61,0.33,21.94,0.44,2.34,0.02,2.8,0.27,7.53,0.4,15.44,0.24,🟒 pretrained,FalconForCausalLM,Original,bfloat16,True,unknown,11,192,True,066e3bf4e2d9aaeefa129af0a6d39727d27816b3,True,True,2024-06-09,2024-05-09,False,True
174
  🟒,01-ai/Yi-6B,13.6,28.93,0.29,19.41,0.43,1.51,0.02,2.57,0.27,7.04,0.39,22.12,0.3,🟒 pretrained,LlamaForCausalLM,Original,bfloat16,True,apache-2.0,6,365,True,7f7fb7662fd8ec09029364f408053c954986c8e5,True,True,2024-06-12,2023-11-01,False,True
175
  πŸ’¬,mistralai/Mistral-7B-Instruct-v0.1,13.57,45.02,0.45,13.79,0.38,1.51,0.02,0.0,0.24,5.77,0.38,15.34,0.24,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",MistralForCausalLM,Original,bfloat16,True,apache-2.0,7,1470,True,73068f3702d050a2fd5aa2ca1e612e5036429398,True,True,2024-06-27,2023-09-27,True,True
176
  πŸ”Ά,pankajmathur/orca_mini_v3_7b,13.52,28.21,0.28,17.84,0.41,0.3,0.0,0.0,0.25,22.71,0.5,12.04,0.21,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,bfloat16,True,other,7,40,True,6252eb7ca29da8d951ae7d2bca948bf84e04a2b9,True,True,2024-06-26,2023-08-07,False,False
177
  🟒,NousResearch/Yarn-Mistral-7b-64k,13.43,20.8,0.21,20.23,0.43,3.02,0.03,5.37,0.29,9.88,0.41,21.27,0.29,🟒 pretrained,MistralForCausalLM,Original,bfloat16,True,apache-2.0,7,49,True,0273c624561fcecc8e8f4030492a9307aa60f945,True,True,2024-06-12,2023-10-31,False,True
178
+ 🟒,meta-llama/Meta-Llama-3-8B,13.41,14.55,0.15,24.5,0.46,3.25,0.03,7.38,0.31,6.24,0.36,24.55,0.32,🟒 pretrained,LlamaForCausalLM,Original,bfloat16,True,llama3,8,5333,True,62bd457b6fe961a42a631306577e622c83876cb6,True,True,2024-06-12,2024-04-17,False,True
179
  🟒,google/recurrentgemma-9b,13.26,30.76,0.31,14.8,0.39,4.83,0.05,4.7,0.29,6.6,0.38,17.88,0.26,🟒 pretrained,RecurrentGemmaForCausalLM,Original,bfloat16,True,gemma,9,56,True,7b0ed98fb889ba8bdfa7c690f08f2e57a7c48dae,True,True,2024-07-04,2024-06-07,False,True
180
  🟒,NousResearch/Yarn-Mistral-7b-128k,13.16,19.34,0.19,20.63,0.43,2.49,0.02,6.49,0.3,8.95,0.41,21.03,0.29,🟒 pretrained,MistralForCausalLM,Original,bfloat16,True,apache-2.0,7,568,True,d09f1f8ed437d61c1aff94c1beabee554843dcdd,True,True,2024-06-12,2023-10-31,False,True
181
  πŸ”Ά,pankajmathur/orca_mini_v5_8b_orpo,12.88,8.24,0.08,27.88,0.5,5.97,0.06,4.59,0.28,8.97,0.41,21.63,0.29,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,bfloat16,True,llama3,8,1,True,4cdc018043ef439f15bd8a09c4f09c6bc528dfc7,True,True,2024-06-26,2024-05-31,False,False
 
191
  πŸ”Ά,TencentARC/MetaMath-Mistral-Pro,12.01,21.19,0.21,22.37,0.44,4.61,0.05,2.57,0.27,4.99,0.35,16.35,0.25,πŸ”Ά fine-tuned on domain-specific datasets,MistralForCausalLM,Original,bfloat16,True,apache-2.0,8,5,True,3835d38de15ed2a04c32aca879b782fc50e390bf,True,True,2024-06-12,2024-02-26,False,True
192
  🟒,01-ai/Yi-6B-200K,11.9,8.43,0.08,20.15,0.43,1.21,0.01,4.25,0.28,16.84,0.46,20.49,0.28,🟒 pretrained,LlamaForCausalLM,Original,bfloat16,True,apache-2.0,6,173,True,4a74338e778a599f313e9fa8f5bc08c717604420,True,True,2024-06-12,2023-11-06,False,True
193
  πŸ”Ά,Replete-AI/Replete-Coder-Llama3-8B,11.66,47.29,0.47,7.06,0.33,2.95,0.03,1.45,0.26,7.51,0.4,3.67,0.13,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,bfloat16,True,other,8,32,True,2aca75c53e7eb2f523889ab1a279e349b8f1b0e8,True,True,2024-06-26,2024-06-24,True,False
194
+ πŸ’¬,h2oai/h2o-danube3-4b-chat,11.36,36.29,0.36,8.84,0.35,2.79,0.03,1.34,0.26,5.23,0.38,13.65,0.22,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",LlamaForCausalLM,Original,float16,True,apache-2.0,3,48,True,1e5c6fa6620f8bf078958069ab4581cd88e0202c,True,True,2024-07-15,2024-07-04,True,False
195
  🟒,tiiuae/falcon-40b,11.33,24.96,0.25,16.58,0.4,1.36,0.01,3.13,0.27,5.19,0.36,16.72,0.25,🟒 pretrained,FalconForCausalLM,Original,bfloat16,True,apache-2.0,40,2416,True,4a70170c215b36a3cce4b4253f6d0612bb7d4146,True,True,2024-06-09,2023-05-24,False,True
196
  🟒,Qwen/Qwen1.5-4B,11.29,24.45,0.24,16.25,0.41,2.42,0.02,3.58,0.28,4.82,0.36,16.22,0.25,🟒 pretrained,Qwen2ForCausalLM,Original,bfloat16,True,other,3,34,True,a66363a0c24e2155c561e4b53c658b1d3965474e,True,True,2024-06-13,2024-01-22,False,True
197
  πŸ”Ά,Replete-AI/Replete-Coder-Qwen2-1.5b,11.07,30.14,0.3,10.43,0.35,0.91,0.01,2.46,0.27,9.74,0.41,12.74,0.21,πŸ”Ά fine-tuned on domain-specific datasets,Qwen2ForCausalLM,Original,bfloat16,True,apache-2.0,1,21,True,86fcccbf921b7eb8a4d348e4a3cde0beb63d6626,True,True,2024-06-26,2024-06-23,True,False
198
+ πŸ’¬,meta-llama/Llama-2-13b-chat-hf,11.0,39.85,0.4,7.16,0.33,0.6,0.01,0.0,0.23,8.16,0.4,10.26,0.19,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",LlamaForCausalLM,Original,float16,True,llama2,13,997,True,a2cb7a712bb6e5e736ca7f8cd98167f81a0b5bd8,True,True,2024-06-12,2023-07-13,True,True
199
  🟒,meta-llama/Llama-2-13b-hf,10.99,24.82,0.25,17.22,0.41,1.06,0.01,4.14,0.28,3.39,0.35,15.31,0.24,🟒 pretrained,LlamaForCausalLM,Original,float16,True,llama2,13,562,True,5c31dfb671ce7cfe2d7bb7c04375e44c55e815b1,True,True,2024-06-12,2023-07-13,False,True
200
+ πŸ’¬,THUDM/glm-4-9b-chat,10.97,0.0,0.0,25.21,0.47,0.0,0.0,8.5,0.31,8.06,0.4,24.07,0.32,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",ChatGLMModelM,Original,bfloat16,True,other,9,477,True,04419001bc63e05e70991ade6da1f91c4aeec278,True,True,2024-07-09,2024-06-04,True,False
201
+ πŸ”Ά,lmsys/vicuna-7b-v1.5,10.78,23.52,0.24,15.15,0.39,0.76,0.01,1.12,0.26,11.42,0.42,12.74,0.21,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,float16,True,llama2,7,267,True,3321f76e3f527bd14065daf69dad9344000a201d,True,True,2024-06-12,2023-07-29,False,True
202
  πŸ’¬,allenai/OLMo-7B-Instruct-hf,10.73,34.73,0.35,13.16,0.37,0.68,0.01,2.8,0.27,4.33,0.38,8.69,0.18,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",OlmoForCausalLM,Original,bfloat16,True,apache-2.0,7,0,True,2ea947518df93433aa71219f29b36c72ac63be95,True,True,2024-06-27,2024-06-04,True,True
203
  πŸ’¬,internlm/internlm2-chat-1_8b,10.5,23.87,0.24,20.67,0.45,2.42,0.02,2.13,0.27,4.61,0.36,9.33,0.18,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",InternLM2ForCausalLM,Original,bfloat16,True,other,1,24,True,4e226eeb354499f4d34ef4c27f6939f377475cc1,True,True,2024-06-12,2024-01-30,True,True
204
  πŸ’¬,tiiuae/falcon-40b-instruct,10.41,24.54,0.25,17.22,0.41,1.51,0.02,0.0,0.25,5.16,0.38,14.02,0.23,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",FalconForCausalLM,Original,bfloat16,True,apache-2.0,40,1171,True,ecb78d97ac356d098e79f0db222c9ce7c5d9ee5f,True,True,2024-06-09,2023-05-25,False,True
 
208
  πŸ”Ά,VAGOsolutions/SauerkrautLM-1.5b,10.08,24.04,0.24,13.42,0.37,2.49,0.02,2.8,0.27,4.97,0.37,12.79,0.22,πŸ”Ά fine-tuned on domain-specific datasets,Qwen2ForCausalLM,Original,bfloat16,True,apache-2.0,1,11,True,8f5170f03e6b0355dd920adc3a7e65d0417ee14e,True,True,2024-06-26,2024-06-12,True,False
209
  🟩,pszemraj/Mistral-v0.3-6B,10.03,24.54,0.25,13.52,0.38,0.83,0.01,2.01,0.27,6.61,0.39,12.7,0.21,🟩 continuously pretrained,MistralForCausalLM,Original,bfloat16,True,apache-2.0,5,1,True,ae11a699012b83996361f04808f4d45debf3b01c,True,True,2024-06-26,2024-05-25,False,False
210
  πŸ”Ά,teknium/OpenHermes-7B,9.48,18.13,0.18,12.08,0.36,1.06,0.01,2.57,0.27,12.68,0.43,10.37,0.19,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,float16,True,mit,7,13,True,9f55d6eb15f1edd52ee1fd863a220aa682e78a00,True,True,2024-06-12,2023-09-14,False,True
211
+ πŸ’¬,meta-llama/Llama-2-7b-chat-hf,9.4,39.65,0.4,4.49,0.31,0.68,0.01,0.56,0.25,3.48,0.37,7.52,0.17,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",LlamaForCausalLM,Original,float16,True,llama2,6,3699,True,f5db02db724555f92da89c216ac04704f23d4590,True,True,2024-06-12,2023-07-13,True,True
212
  πŸ”Ά,NousResearch/Nous-Hermes-llama-2-7b,9.28,17.29,0.17,13.79,0.38,0.68,0.01,1.79,0.26,11.68,0.43,10.44,0.19,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,bfloat16,True,mit,6,67,True,b7c3ec54b754175e006ef75696a2ba3802697078,True,True,2024-06-12,2023-07-25,False,True
213
  πŸ’¬,stabilityai/stablelm-2-zephyr-1_6b,9.26,32.79,0.33,6.71,0.34,2.11,0.02,0.0,0.24,5.99,0.35,7.93,0.17,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",StableLmForCausalLM,Original,float16,True,other,1,174,True,2f275b1127d59fc31e4f7c7426d528768ada9ea4,True,True,2024-06-12,2024-01-19,True,True
214
  🟒,Qwen/Qwen1.5-1.8B,9.12,21.54,0.22,9.76,0.35,2.27,0.02,7.38,0.31,3.96,0.36,9.8,0.19,🟒 pretrained,Qwen2ForCausalLM,Original,bfloat16,True,other,1,43,True,7846de7ed421727b318d6605a0bfab659da2c067,True,True,2024-06-13,2024-01-22,False,True
215
  πŸ’¬,Qwen/Qwen1.5-1.8B-Chat,9.01,20.19,0.2,5.91,0.33,0.45,0.0,6.38,0.3,12.18,0.43,8.93,0.18,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",Qwen2ForCausalLM,Original,bfloat16,True,other,1,43,True,e482ee3f73c375a627a16fdf66fd0c8279743ca6,True,True,2024-06-12,2024-01-30,True,True
216
  πŸ”Ά,TencentARC/LLaMA-Pro-8B,8.78,22.77,0.23,9.29,0.35,1.66,0.02,1.34,0.26,8.59,0.4,9.01,0.18,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,bfloat16,True,llama2,8,170,True,7115e7179060e0623d1ee9ff4476faed7e478d8c,True,True,2024-06-12,2024-01-05,False,True
217
+ 🟒,meta-llama/Llama-2-7b-hf,8.72,25.19,0.25,10.35,0.35,1.21,0.01,2.24,0.27,3.76,0.37,9.57,0.19,🟒 pretrained,LlamaForCausalLM,Original,float16,True,llama2,6,1578,True,01c7f73d771dfac7d292323805ebc428287df4f9,True,True,2024-06-12,2023-07-13,False,True
218
  πŸ’¬,stabilityai/stablelm-2-1_6b-chat,8.63,30.6,0.31,7.49,0.34,1.06,0.01,0.0,0.25,5.71,0.36,6.91,0.16,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",StableLmForCausalLM,Original,bfloat16,True,other,1,26,True,f3fe67057c2789ae1bb1fe42b038da99840d4f13,True,True,2024-06-12,2024-04-08,True,True
219
  🟒,internlm/internlm2-1_8b,8.58,21.98,0.22,13.63,0.39,1.13,0.01,0.0,0.25,8.23,0.38,6.54,0.16,🟒 pretrained,InternLM2ForCausalLM,Original,bfloat16,True,other,8,25,True,c24f301c7374ad9f9b58d1ea80f68b5f57cbca13,True,True,2024-06-12,2024-01-30,False,True
220
  🟒,NousResearch/Yarn-Llama-2-13b-128k,8.39,16.55,0.17,13.51,0.38,1.13,0.01,1.12,0.26,3.39,0.35,14.67,0.23,🟒 pretrained,LlamaForCausalLM,Original,bfloat16,True,,13,113,True,4e3e87a067f64f8814c83dd5e3bad92dcf8a2391,True,True,2024-06-13,2023-08-30,False,True
221
+ πŸ”Ά,Nexusflow/NexusRaven-V2-13B,8.3,17.91,0.18,15.34,0.39,1.81,0.02,1.34,0.26,3.71,0.37,9.69,0.19,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,bfloat16,True,other,13,451,True,cdab7132db4a4fd64513123374ea1451d85a7ace,True,True,2024-06-12,2023-12-04,False,True
222
  🟒,bigcode/starcoder2-7b,8.21,22.09,0.22,11.4,0.37,2.57,0.03,0.22,0.25,5.82,0.38,7.14,0.16,🟒 pretrained,Starcoder2ForCausalLM,Original,bfloat16,True,bigcode-openrail-m,7,144,True,a3d33687b51284b528abeb17830776ffd24892a9,True,True,2024-06-09,2024-02-20,False,True
223
  πŸ”Ά,togethercomputer/Llama-2-7B-32K-Instruct,8.17,21.3,0.21,8.56,0.34,1.06,0.01,0.22,0.25,9.2,0.41,8.68,0.18,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,float16,True,llama2,7,160,True,d27380af003252f5eb0d218e104938b4e673e3f3,True,True,2024-06-12,2023-08-08,False,True
224
  🟒,deepseek-ai/deepseek-llm-7b-base,8.1,21.79,0.22,9.77,0.35,1.21,0.01,3.13,0.27,3.76,0.37,8.96,0.18,🟒 pretrained,LlamaForCausalLM,Original,bfloat16,True,other,7,30,True,7683fea62db869066ddaff6a41d032262c490d4f,True,True,2024-06-12,2023-11-29,False,True
225
  πŸ’¬,google/recurrentgemma-2b-it,8.06,29.49,0.29,8.11,0.33,1.74,0.02,1.01,0.26,3.62,0.34,4.41,0.14,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",RecurrentGemmaForCausalLM,Original,bfloat16,True,gemma,2,101,True,150248167d171fbdf4b02e7d28a4b3d749e570f6,True,True,2024-06-12,2024-04-08,True,True
226
  πŸ’¬,google/gemma-1.1-2b-it,7.78,30.67,0.31,5.86,0.32,0.15,0.0,2.57,0.27,2.02,0.34,5.37,0.15,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",GemmaForCausalLM,Original,bfloat16,True,gemma,2,133,True,bf4924f313df5166dee1467161e886e55f2eb4d4,True,True,2024-06-12,2024-03-26,True,True
227
+ 🟒,ibm-granite/granite-7b-base,7.75,24.14,0.24,9.05,0.35,0.6,0.01,0.0,0.25,3.4,0.36,9.27,0.18,🟒 pretrained,LlamaForCausalLM,Original,bfloat16,True,apache-2.0,6,20,True,23fcb4cb5b69f8a122fb944491e9f1ad664ba37b,True,True,2024-06-12,2024-04-19,False,True
228
  πŸ”Ά,VAGOsolutions/SauerkrautLM-Gemma-2b,7.58,24.75,0.25,9.13,0.34,1.96,0.02,0.89,0.26,3.51,0.37,5.21,0.15,πŸ”Ά fine-tuned on domain-specific datasets,GemmaForCausalLM,Original,bfloat16,True,other,2,8,True,f9d5575c23da96f33ce77dea3b0776746b9469bc,True,True,2024-06-26,2024-03-06,True,False
229
  🟒,deepseek-ai/deepseek-moe-16b-base,7.37,24.5,0.24,8.36,0.34,1.81,0.02,0.56,0.25,3.36,0.37,5.61,0.15,🟒 pretrained,DeepseekForCausalLM,Original,bfloat16,True,other,16,76,True,521d2bc4fb69a3f3ae565310fcc3b65f97af2580,True,False,2024-06-12,2024-01-08,False,True
230
+ 🟒,google/gemma-2b,7.27,20.38,0.2,8.25,0.34,2.72,0.03,0.67,0.26,7.56,0.4,4.06,0.14,🟒 pretrained,GemmaForCausalLM,Original,bfloat16,True,gemma,2,803,True,2ac59a5d7bf4e1425010f0d457dde7d146658953,True,True,2024-06-12,2024-02-08,False,True
231
  🟒,stabilityai/stablelm-3b-4e1t,7.26,22.03,0.22,9.01,0.35,0.68,0.01,0.0,0.24,4.42,0.38,7.43,0.17,🟒 pretrained,StableLmForCausalLM,Original,bfloat16,True,cc-by-sa-4.0,2,305,True,fa4a6a92fca83c3b4223a3c9bf792887090ebfba,True,True,2024-06-12,2023-09-29,False,True
232
  πŸ’¬,google/gemma-2b-it,7.22,26.9,0.27,5.21,0.32,0.45,0.0,3.8,0.28,3.03,0.33,3.92,0.14,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",GemmaForCausalLM,Original,bfloat16,True,gemma,2,589,True,de144fb2268dee1066f515465df532c05e699d48,True,True,2024-06-12,2024-02-08,True,True
233
  πŸ”Ά,cgato/TheSalt-L3-8b-v0.3.2,7.19,27.05,0.27,2.61,0.3,3.47,0.03,2.13,0.27,6.3,0.39,1.55,0.11,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,bfloat16,True,cc-by-nc-4.0,8,1,True,5cf08e2bf9590ebcd14ba021e113def28c65afa2,True,True,2024-06-26,2024-06-18,True,False
234
  🟒,NousResearch/Yarn-Llama-2-7b-64k,7.12,17.0,0.17,7.04,0.33,0.98,0.01,1.9,0.26,6.93,0.39,8.87,0.18,🟒 pretrained,LlamaForCausalLM,Original,bfloat16,True,,7,23,True,08491431ac3b50add7443f5d4c02850801d877be,True,True,2024-06-13,2023-08-30,False,True
235
+ 🟒,Qwen/Qwen2-0.5B,7.06,18.67,0.19,7.99,0.33,2.57,0.03,0.78,0.26,4.6,0.38,7.76,0.17,🟒 pretrained,Qwen2ForCausalLM,Original,bfloat16,True,apache-2.0,0,55,True,ff3a49fac17555b8dfc4db6709f480cc8f16a9fe,True,True,2024-06-09,2024-05-31,False,True
236
  🟒,microsoft/phi-1_5,7.06,20.33,0.2,7.47,0.34,1.13,0.01,2.35,0.27,3.39,0.34,7.68,0.17,🟒 pretrained,PhiForCausalLM,Original,float16,True,mit,1,1296,True,675aa382d814580b22651a30acb1a585d7c25963,True,True,2024-06-09,2023-09-10,False,True
237
  🟒,google/recurrentgemma-2b,6.94,30.02,0.3,5.01,0.32,1.66,0.02,0.0,0.25,2.94,0.34,1.99,0.12,🟒 pretrained,RecurrentGemmaForCausalLM,Original,bfloat16,True,gemma,2,89,True,195f13c55b371fc721eda0662c00c64642c70e17,True,True,2024-06-13,2024-04-06,False,True
238
  🟒,databricks/dolly-v1-6b,6.89,22.24,0.22,4.78,0.32,1.36,0.01,1.9,0.26,8.12,0.4,2.95,0.13,🟒 pretrained,GPTJForCausalLM,Original,bfloat16,True,cc-by-nc-4.0,6,310,True,c9a85b3a322b402e20c839c702c725afe0cb454d,True,True,2024-06-12,2023-03-23,False,True
 
241
  🟒,NousResearch/Yarn-Llama-2-7b-128k,6.69,14.85,0.15,6.14,0.32,0.76,0.01,1.34,0.26,8.25,0.4,8.79,0.18,🟒 pretrained,LlamaForCausalLM,Original,bfloat16,True,,7,38,True,e1ceedbbf2ed28b88086794441a6c05606d15437,True,True,2024-06-13,2023-08-31,False,True
242
  🟒,EleutherAI/gpt-j-6b,6.55,25.22,0.25,4.91,0.32,1.21,0.01,0.0,0.25,5.25,0.37,2.68,0.12,🟒 pretrained,GPTJForCausalLM,Original,bfloat16,True,apache-2.0,6,1388,True,47e169305d2e8376be1d31e765533382721b2cc1,True,True,2024-06-12,2022-03-02,False,True
243
  🟒,bigcode/starcoder2-3b,6.54,20.37,0.2,8.91,0.35,1.44,0.01,0.0,0.24,1.43,0.34,7.07,0.16,🟒 pretrained,Starcoder2ForCausalLM,Original,bfloat16,True,bigcode-openrail-m,3,124,True,733247c55e3f73af49ce8e9c7949bf14af205928,True,True,2024-06-09,2023-11-29,False,True
244
+ 🟒,gpt2,6.54,18.08,0.18,2.67,0.3,0.23,0.0,1.12,0.26,15.35,0.45,1.77,0.12,🟒 pretrained,GPT2LMHeadModel,Original,bfloat16,True,mit,0,2093,True,607a30d783dfa663caf39e06633721c8d4cfcd7e,True,True,2024-06-09,2022-03-02,False,True
245
  🟩,BEE-spoke-data/smol_llama-220M-GQA-fineweb_edu,6.52,19.88,0.2,2.31,0.29,0.0,0.0,1.23,0.26,14.26,0.44,1.41,0.11,🟩 continuously pretrained,LlamaForCausalLM,Original,bfloat16,True,apache-2.0,0,1,True,dec16b41d5e94070dbc1f8449a554373fd4cc1d1,True,True,2024-06-26,2024-06-08,False,False
246
+ 🟒,openai-community/gpt2,6.51,17.93,0.18,2.67,0.3,0.23,0.0,1.12,0.26,15.35,0.45,1.77,0.12,🟒 pretrained,GPT2LMHeadModel,Original,bfloat16,True,mit,0,2093,True,607a30d783dfa663caf39e06633721c8d4cfcd7e,True,True,2024-06-12,2022-03-02,False,True
247
  🟒,allenai/OLMo-1B-hf,6.47,21.82,0.22,3.2,0.31,0.76,0.01,1.57,0.26,9.56,0.41,1.93,0.12,🟒 pretrained,OlmoForCausalLM,Original,bfloat16,True,apache-2.0,1,10,True,8e995430edd24416ccfa98b5b283fa07b0c9f1a9,True,True,2024-06-12,2024-04-12,False,True
248
  🟒,BEE-spoke-data/smol_llama-220M-GQA,6.4,23.86,0.24,3.04,0.3,0.0,0.0,0.78,0.26,9.07,0.41,1.66,0.11,🟒 pretrained,LlamaForCausalLM,Original,bfloat16,True,apache-2.0,0,11,True,8845b1d3c0bc73522ef2700aab467183cbdca9f7,True,True,2024-06-26,2023-12-22,False,False
249
+ πŸ’¬,Qwen/Qwen2-0.5B-Instruct,6.39,22.47,0.22,5.88,0.32,1.66,0.02,0.0,0.25,2.41,0.34,5.9,0.15,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",Qwen2ForCausalLM,Original,bfloat16,True,apache-2.0,0,99,True,c291d6fce4804a1d39305f388dd32897d1f7acc4,True,True,2024-06-12,2024-06-03,True,True
250
  πŸ”Ά,databricks/dolly-v2-12b,6.38,23.55,0.24,6.38,0.33,1.44,0.01,0.0,0.24,5.5,0.37,1.43,0.11,πŸ”Ά fine-tuned on domain-specific datasets,GPTNeoXForCausalLM,Original,bfloat16,True,mit,12,1946,True,19308160448536e378e3db21a73a751579ee7fdd,True,True,2024-06-12,2023-04-11,False,True
251
  🟒,EleutherAI/gpt-neo-2.7B,6.34,25.9,0.26,4.18,0.31,0.53,0.01,2.13,0.27,3.52,0.36,1.81,0.12,🟒 pretrained,GPTNeoForCausalLM,Original,bfloat16,True,mit,2,399,True,e24fa291132763e59f4a5422741b424fb5d59056,True,True,2024-06-12,2022-03-02,False,True
252
  πŸ”Ά,togethercomputer/RedPajama-INCITE-7B-Instruct,6.33,20.55,0.21,7.91,0.34,1.36,0.01,0.11,0.25,5.03,0.37,3.03,0.13,πŸ”Ά fine-tuned on domain-specific datasets,GPTNeoXForCausalLM,Original,float16,True,apache-2.0,7,104,True,7f36397b9985a3f981cdb618f8fec1c565ca5927,True,True,2024-06-12,2023-05-05,False,True
253
  🟒,facebook/opt-30b,6.2,24.53,0.25,3.5,0.31,0.6,0.01,2.57,0.27,4.19,0.36,1.82,0.12,🟒 pretrained,OPTForCausalLM,Original,float16,True,other,30,133,True,ceea0a90ac0f6fae7c2c34bcb40477438c152546,True,True,2024-06-12,2022-05-11,False,True
254
  🟒,EleutherAI/gpt-neox-20b,5.99,25.87,0.26,4.93,0.32,0.6,0.01,0.0,0.24,2.82,0.36,1.73,0.12,🟒 pretrained,GPTNeoXForCausalLM,Original,float16,True,apache-2.0,20,504,True,c292233c833e336628618a88a648727eb3dff0a7,True,True,2024-06-09,2022-04-07,False,True
255
  🟒,mosaicml/mpt-7b,5.98,21.52,0.22,6.55,0.33,1.28,0.01,1.34,0.26,2.9,0.37,2.29,0.12,🟒 pretrained,MPTForCausalLM,Original,bfloat16,True,apache-2.0,7,1150,True,039e37745f00858f0e01e988383a8c4393b1a4f5,True,True,2024-06-08,2023-05-05,False,True
256
+ 🟒,gpt2,5.98,8.33,0.08,9.2,0.31,0.0,0.0,0.0,0.23,18.33,0.43,0.0,0.1,🟒 pretrained,GPT2LMHeadModel,Original,float16,True,mit,0,2093,True,607a30d783dfa663caf39e06633721c8d4cfcd7e,True,True,2024-06-26,2022-03-02,False,True
257
  🟒,EleutherAI/pythia-12b,5.93,24.71,0.25,4.99,0.32,0.91,0.01,0.0,0.25,3.79,0.36,1.21,0.11,🟒 pretrained,GPTNeoXForCausalLM,Original,float16,True,apache-2.0,12,129,True,35c9d7f32fbb108fb8b5bdd574eb03369d1eed49,True,True,2024-06-12,2023-02-28,False,True
258
  🟒,EleutherAI/pythia-6.9b,5.85,22.81,0.23,5.88,0.32,0.76,0.01,0.22,0.25,3.81,0.36,1.63,0.11,🟒 pretrained,GPTNeoXForCausalLM,Original,float16,True,apache-2.0,6,41,True,f271943e880e60c0c715fd10e4dc74ec4e31eb44,True,True,2024-06-12,2023-02-14,False,True
259
  πŸ”Ά,Josephgflowers/TinyLlama-Cinder-Agent-v1,5.82,26.7,0.27,3.8,0.31,0.38,0.0,0.0,0.24,2.23,0.34,1.79,0.12,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,float16,True,mit,1,0,True,a9cd8b48bfe30f29bb1f819213da9a4c41eee67f,True,True,2024-06-26,2024-05-21,True,False
260
  🟒,openai-community/gpt2-medium,5.81,22.08,0.22,2.72,0.31,0.23,0.0,1.68,0.26,6.16,0.39,2.02,0.12,🟒 pretrained,GPT2LMHeadModel,Original,bfloat16,True,mit,0,134,True,6dcaa7a952f72f9298047fd5137cd6e4f05f41da,True,True,2024-06-12,2022-03-02,False,True
261
+ 🟒,google/gemma-2-9b,5.67,24.73,0.25,5.05,0.32,0.15,0.0,0.0,0.24,2.58,0.36,1.51,0.11,🟒 pretrained,Gemma2ForCausalLM,Original,bfloat16,True,gemma,9,473,True,beb0c08e9eeb0548f3aca2ac870792825c357b7d,True,True,2024-07-11,2024-06-24,False,True
262
  πŸ”Ά,togethercomputer/RedPajama-INCITE-Instruct-3B-v1,5.66,21.24,0.21,4.51,0.31,0.6,0.01,0.0,0.25,6.41,0.39,1.22,0.11,πŸ”Ά fine-tuned on domain-specific datasets,GPTNeoXForCausalLM,Original,float16,True,apache-2.0,3,91,True,0c66778ee09a036886741707733620b91057909a,True,True,2024-06-12,2023-05-05,False,True
263
  🟒,EleutherAI/pythia-160m,5.62,18.16,0.18,2.2,0.3,0.23,0.0,1.12,0.26,10.68,0.42,1.33,0.11,🟒 pretrained,GPTNeoXForCausalLM,Original,float16,True,apache-2.0,0,21,True,50f5173d932e8e61f858120bcb800b97af589f46,True,True,2024-06-09,2023-02-08,False,True
264
  πŸ”Ά,databricks/dolly-v2-7b,5.57,20.1,0.2,5.45,0.32,0.98,0.01,2.46,0.27,2.78,0.36,1.66,0.11,πŸ”Ά fine-tuned on domain-specific datasets,GPTNeoXForCausalLM,Original,bfloat16,True,mit,7,146,True,d632f0c8b75b1ae5b26b250d25bfba4e99cb7c6f,True,True,2024-06-12,2023-04-13,False,True
 
275
  🟒,facebook/opt-1.3b,5.25,23.83,0.24,3.65,0.31,0.76,0.01,0.0,0.24,2.08,0.34,1.19,0.11,🟒 pretrained,OPTForCausalLM,Original,float16,True,other,1,142,True,3f5c25d0bc631cb57ac65913f76e22c2dfb61d62,True,True,2024-06-12,2022-05-11,False,True
276
  πŸ’¬,microsoft/DialoGPT-medium,5.25,14.79,0.15,2.56,0.3,0.0,0.0,0.56,0.25,12.28,0.43,1.32,0.11,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",GPT2LMHeadModel,Original,bfloat16,True,mit,0,307,True,7b40bb0f92c45fefa957d088000d8648e5c7fa33,True,True,2024-06-13,2022-03-02,True,True
277
  🟒,stabilityai/stablelm-2-1_6b,5.22,11.57,0.12,8.63,0.34,0.15,0.0,0.0,0.25,5.79,0.39,5.15,0.15,🟒 pretrained,StableLmForCausalLM,Original,float16,True,other,1,174,True,8879812cccd176fbbe9ceb747b815bcc7d6499f8,True,True,2024-06-12,2024-01-18,False,True
278
+ 🟒,Qwen/Qwen1.5-0.5B,5.14,17.06,0.17,5.04,0.32,0.45,0.0,0.56,0.25,4.3,0.36,3.41,0.13,🟒 pretrained,Qwen2ForCausalLM,Original,bfloat16,True,other,0,134,True,8f445e3628f3500ee69f24e1303c9f10f5342a39,True,True,2024-06-13,2024-01-22,False,True
279
  🟒,EleutherAI/pythia-410m,5.11,21.95,0.22,2.72,0.3,0.3,0.0,1.23,0.26,3.06,0.36,1.42,0.11,🟒 pretrained,GPTNeoXForCausalLM,Original,float16,True,apache-2.0,0,20,True,9879c9b5f8bea9051dcb0e68dff21493d67e9d4f,True,True,2024-06-09,2023-02-13,False,True
280
  🟒,tiiuae/falcon-7b,5.1,18.21,0.18,5.96,0.33,0.53,0.01,0.0,0.24,4.5,0.38,1.39,0.11,🟒 pretrained,FalconForCausalLM,Original,bfloat16,True,apache-2.0,7,1054,True,898df1396f35e447d5fe44e0a3ccaaaa69f30d36,True,True,2024-06-09,2023-04-24,False,True
281
  πŸ’¬,tiiuae/falcon-7b-instruct,5.02,19.69,0.2,4.82,0.32,0.6,0.01,0.0,0.25,3.25,0.36,1.73,0.12,"πŸ’¬ chat models (RLHF, DPO, IFT, ...)",FalconForCausalLM,Original,bfloat16,True,apache-2.0,7,886,True,cf4b3c42ce2fdfe24f753f0f0d179202fea59c99,True,True,2024-06-09,2023-04-25,False,True
 
288
  🟒,bigscience/bloom-1b7,3.97,10.44,0.1,4.4,0.31,0.08,0.0,1.12,0.26,6.84,0.39,0.96,0.11,🟒 pretrained,BloomForCausalLM,Original,bfloat16,True,bigscience-bloom-rail-1.0,1,116,True,cc72a88036c2fb937d65efeacc57a0c2ef5d6fe5,True,True,2024-06-13,2022-05-19,False,True
289
  πŸ”Ά,togethercomputer/RedPajama-INCITE-7B-Chat,3.96,15.58,0.16,4.5,0.32,0.15,0.0,0.34,0.25,1.86,0.34,1.35,0.11,πŸ”Ά fine-tuned on domain-specific datasets,GPTNeoXForCausalLM,Original,float16,True,apache-2.0,7,92,True,47b94a739e2f3164b438501c8684acc5d5acc146,True,True,2024-06-13,2023-05-04,False,True
290
  🟒,bigscience/bloom-1b1,3.96,13.73,0.14,4.04,0.31,0.15,0.0,1.23,0.26,3.42,0.37,1.2,0.11,🟒 pretrained,BloomForCausalLM,Original,bfloat16,True,bigscience-bloom-rail-1.0,1,54,True,eb3dd7399312f5f94fd13f41d2f318117d3eb1e4,True,True,2024-06-13,2022-05-19,False,True
291
+ πŸ”Ά,IDEA-CCNL/Ziya-LLaMA-13B-v1,3.91,16.97,0.17,1.46,0.29,0.0,0.0,0.0,0.25,3.88,0.38,1.12,0.11,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,float16,True,gpl-3.0,13,273,True,64d931f346e1a49ea3bbca07a83137075bab1c66,True,True,2024-06-12,2023-05-16,False,True
292
+ 🟒,distilbert/distilgpt2,3.9,6.11,0.06,2.84,0.3,0.0,0.0,1.23,0.26,11.16,0.42,2.08,0.12,🟒 pretrained,GPT2LMHeadModel,Original,bfloat16,True,apache-2.0,0,386,True,2290a62682d06624634c1f46a6ad5be0f47f38aa,True,True,2024-06-12,2022-03-02,False,True
293
  πŸ”Ά,RWKV/rwkv-raven-14b,3.89,7.68,0.08,6.76,0.33,0.0,0.0,0.0,0.23,7.19,0.4,1.67,0.12,πŸ”Ά fine-tuned on domain-specific datasets,RwkvForCausalLM,Original,float16,True,,14,56,False,359c0649b4f1d10a26ebea32908035bc00d152ee,True,True,2024-07-08,2023-05-05,False,False
294
  🟒,bigscience/bloom-7b1,3.71,13.22,0.13,4.04,0.31,0.0,0.0,1.9,0.26,1.92,0.35,1.16,0.11,🟒 pretrained,BloomForCausalLM,Original,float16,True,bigscience-bloom-rail-1.0,7,187,True,6232703e399354503377bf59dfbb8397fd569e4a,True,True,2024-06-13,2022-05-19,False,True
295
  πŸ”Ά,OpenAssistant/oasst-sft-1-pythia-12b,3.67,10.55,0.11,4.78,0.31,1.44,0.01,1.01,0.26,2.99,0.33,1.25,0.11,πŸ”Ά fine-tuned on domain-specific datasets,GPTNeoXForCausalLM,Original,float16,True,apache-2.0,12,279,True,293df535fe7711a5726987fc2f17dfc87de452a1,True,True,2024-06-12,2023-03-09,False,True
296
  🟒,bigscience/bloom-560m,3.46,6.2,0.06,2.89,0.3,0.08,0.0,1.57,0.26,8.19,0.4,1.83,0.12,🟒 pretrained,BloomForCausalLM,Original,bfloat16,True,bigscience-bloom-rail-1.0,0,328,True,ac2ae5fab2ce3f9f40dc79b5ca9f637430d24971,True,True,2024-06-13,2022-05-19,False,True
297
  πŸ”Ά,pankajmathur/orca_mini_3b,3.07,7.42,0.07,4.69,0.32,0.53,0.01,0.0,0.25,4.2,0.33,1.61,0.11,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,bfloat16,True,cc-by-nc-sa-4.0,3,158,True,31e1a7bc3f7ea2f247b432d60036d975b8d590e9,True,True,2024-06-26,2023-06-22,False,False
298
+ 🟒,LiteAI/Hare-1.1B-base,1.95,0.12,0.0,1.72,0.29,0.0,0.0,1.23,0.26,7.58,0.4,1.04,0.11,🟒 pretrained,MistralForCausalLM,Original,float16,True,apache-2.0,1,7,True,c4faddb2163d8d940b422035e67f4c13cb8c2cb1,True,True,2024-07-19,2024-06-05,False,False
299
  πŸ”Ά,pankajmathur/orca_mini_v6_8b,1.41,1.11,0.01,3.22,0.3,0.0,0.0,0.0,0.24,2.77,0.36,1.38,0.11,πŸ”Ά fine-tuned on domain-specific datasets,LlamaForCausalLM,Original,bfloat16,True,llama3,8,1,True,e95dc8e4c6b6ca5957b657cc2d905683142eaf3e,True,True,2024-06-26,2024-06-02,True,False