Hugging Face's logo

CallComply
/
SOLAR-10.7B-Instruct-v1.0-128k

Text Generation
Transformers
Safetensors
English
llama
conversational
Eval Results
text-generation-inference
Inference Endpoints
Model card Files Community
2

Adding Evaluation Results

#2
by leaderboard-pr-bot - opened
base: refs/heads/main
←
from: refs/pr/2
Discussion Files changed
+121
-5
Files changed (1) hide show
  1. README.md +121 -5
README.md CHANGED
@@ -1,14 +1,117 @@
1
  ---
 
 
 
2
  datasets:
3
  - c-s-ale/alpaca-gpt4-data
4
  - Open-Orca/OpenOrca
5
  - Intel/orca_dpo_pairs
6
  - allenai/ultrafeedback_binarized_cleaned
7
- language:
8
- - en
9
- license: cc-by-nc-4.0
10
  base_model:
11
- - upstage/SOLAR-10.7B-v1.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
12
  ---
13
 
14
  # **Meet 10.7B Solar: Elevating Performance with Upstage Depth UP Scaling!**
@@ -176,4 +279,17 @@ Please cite this model using this format.
176
  Upstage is creating the best LLM and DocAI. Please find more information at https://upstage.ai
177
 
178
  ### **Contact Us** ###
179
- Any questions and suggestions, please use the discussion tab. If you want to contact us directly, drop an email to [contact@upstage.ai](mailto:contact@upstage.ai)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  ---
2
+ language:
3
+ - en
4
+ license: cc-by-nc-4.0
5
  datasets:
6
  - c-s-ale/alpaca-gpt4-data
7
  - Open-Orca/OpenOrca
8
  - Intel/orca_dpo_pairs
9
  - allenai/ultrafeedback_binarized_cleaned
 
 
 
10
  base_model:
11
+ - upstage/SOLAR-10.7B-v1.0
12
+ model-index:
13
+ - name: SOLAR-10.7B-Instruct-v1.0-128k
14
+ results:
15
+ - task:
16
+ type: text-generation
17
+ name: Text Generation
18
+ dataset:
19
+ name: AI2 Reasoning Challenge (25-Shot)
20
+ type: ai2_arc
21
+ config: ARC-Challenge
22
+ split: test
23
+ args:
24
+ num_few_shot: 25
25
+ metrics:
26
+ - type: acc_norm
27
+ value: 65.96
28
+ name: normalized accuracy
29
+ source:
30
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=CallComply/SOLAR-10.7B-Instruct-v1.0-128k
31
+ name: Open LLM Leaderboard
32
+ - task:
33
+ type: text-generation
34
+ name: Text Generation
35
+ dataset:
36
+ name: HellaSwag (10-Shot)
37
+ type: hellaswag
38
+ split: validation
39
+ args:
40
+ num_few_shot: 10
41
+ metrics:
42
+ - type: acc_norm
43
+ value: 84.35
44
+ name: normalized accuracy
45
+ source:
46
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=CallComply/SOLAR-10.7B-Instruct-v1.0-128k
47
+ name: Open LLM Leaderboard
48
+ - task:
49
+ type: text-generation
50
+ name: Text Generation
51
+ dataset:
52
+ name: MMLU (5-Shot)
53
+ type: cais/mmlu
54
+ config: all
55
+ split: test
56
+ args:
57
+ num_few_shot: 5
58
+ metrics:
59
+ - type: acc
60
+ value: 57.63
61
+ name: accuracy
62
+ source:
63
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=CallComply/SOLAR-10.7B-Instruct-v1.0-128k
64
+ name: Open LLM Leaderboard
65
+ - task:
66
+ type: text-generation
67
+ name: Text Generation
68
+ dataset:
69
+ name: TruthfulQA (0-shot)
70
+ type: truthful_qa
71
+ config: multiple_choice
72
+ split: validation
73
+ args:
74
+ num_few_shot: 0
75
+ metrics:
76
+ - type: mc2
77
+ value: 65.42
78
+ source:
79
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=CallComply/SOLAR-10.7B-Instruct-v1.0-128k
80
+ name: Open LLM Leaderboard
81
+ - task:
82
+ type: text-generation
83
+ name: Text Generation
84
+ dataset:
85
+ name: Winogrande (5-shot)
86
+ type: winogrande
87
+ config: winogrande_xl
88
+ split: validation
89
+ args:
90
+ num_few_shot: 5
91
+ metrics:
92
+ - type: acc
93
+ value: 80.51
94
+ name: accuracy
95
+ source:
96
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=CallComply/SOLAR-10.7B-Instruct-v1.0-128k
97
+ name: Open LLM Leaderboard
98
+ - task:
99
+ type: text-generation
100
+ name: Text Generation
101
+ dataset:
102
+ name: GSM8k (5-shot)
103
+ type: gsm8k
104
+ config: main
105
+ split: test
106
+ args:
107
+ num_few_shot: 5
108
+ metrics:
109
+ - type: acc
110
+ value: 7.13
111
+ name: accuracy
112
+ source:
113
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=CallComply/SOLAR-10.7B-Instruct-v1.0-128k
114
+ name: Open LLM Leaderboard
115
  ---
116
 
117
  # **Meet 10.7B Solar: Elevating Performance with Upstage Depth UP Scaling!**
 
279
  Upstage is creating the best LLM and DocAI. Please find more information at https://upstage.ai
280
 
281
  ### **Contact Us** ###
282
+ Any questions and suggestions, please use the discussion tab. If you want to contact us directly, drop an email to [contact@upstage.ai](mailto:contact@upstage.ai)
283
+ # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
284
+ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_CallComply__SOLAR-10.7B-Instruct-v1.0-128k)
285
+
286
+ | Metric |Value|
287
+ |---------------------------------|----:|
288
+ |Avg. |60.16|
289
+ |AI2 Reasoning Challenge (25-Shot)|65.96|
290
+ |HellaSwag (10-Shot) |84.35|
291
+ |MMLU (5-Shot) |57.63|
292
+ |TruthfulQA (0-shot) |65.42|
293
+ |Winogrande (5-shot) |80.51|
294
+ |GSM8k (5-shot) | 7.13|
295
+