Adding Evaluation Results
#1
by
leaderboard-pr-bot
- opened
README.md
CHANGED
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---
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-
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- Pretergeek/OpenChat-3.5-0106_8.11B_36Layers-Appended
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- BAAI/Infinity-Instruct-7M-Gen-mistral-7B
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tags:
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- merge
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- mergekit
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- lazymergekit
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- Pretergeek/OpenChat-3.5-0106_8.11B_36Layers-Appended
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- BAAI/Infinity-Instruct-7M-Gen-mistral-7B
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-
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---
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# Mistralmash1-7B-s
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@@ -61,4 +156,17 @@ pipeline = transformers.pipeline(
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outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
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print(outputs[0]["generated_text"])
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-
```
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---
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license: apache-2.0
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tags:
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- merge
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- mergekit
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- lazymergekit
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- Pretergeek/OpenChat-3.5-0106_8.11B_36Layers-Appended
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- BAAI/Infinity-Instruct-7M-Gen-mistral-7B
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base_model:
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- Pretergeek/OpenChat-3.5-0106_8.11B_36Layers-Appended
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- BAAI/Infinity-Instruct-7M-Gen-mistral-7B
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model-index:
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- name: Mistralmash1-7B-s
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results:
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: IFEval (0-Shot)
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type: HuggingFaceH4/ifeval
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args:
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num_few_shot: 0
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metrics:
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- type: inst_level_strict_acc and prompt_level_strict_acc
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value: 39.61
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name: strict accuracy
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=allknowingroger/Mistralmash1-7B-s
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: BBH (3-Shot)
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type: BBH
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args:
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num_few_shot: 3
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metrics:
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- type: acc_norm
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value: 33.45
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name: normalized accuracy
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=allknowingroger/Mistralmash1-7B-s
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: MATH Lvl 5 (4-Shot)
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type: hendrycks/competition_math
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args:
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num_few_shot: 4
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metrics:
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- type: exact_match
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value: 7.93
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name: exact match
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=allknowingroger/Mistralmash1-7B-s
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: GPQA (0-shot)
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type: Idavidrein/gpqa
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args:
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num_few_shot: 0
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metrics:
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- type: acc_norm
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value: 5.93
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name: acc_norm
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=allknowingroger/Mistralmash1-7B-s
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: MuSR (0-shot)
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type: TAUR-Lab/MuSR
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args:
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num_few_shot: 0
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metrics:
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- type: acc_norm
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value: 11.81
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name: acc_norm
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=allknowingroger/Mistralmash1-7B-s
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: MMLU-PRO (5-shot)
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type: TIGER-Lab/MMLU-Pro
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config: main
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split: test
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 25.48
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name: accuracy
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=allknowingroger/Mistralmash1-7B-s
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name: Open LLM Leaderboard
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---
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# Mistralmash1-7B-s
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outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
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print(outputs[0]["generated_text"])
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```
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_allknowingroger__Mistralmash1-7B-s)
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| Metric |Value|
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|-------------------|----:|
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|Avg. |20.70|
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|IFEval (0-Shot) |39.61|
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|BBH (3-Shot) |33.45|
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|MATH Lvl 5 (4-Shot)| 7.93|
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|GPQA (0-shot) | 5.93|
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|MuSR (0-shot) |11.81|
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|MMLU-PRO (5-shot) |25.48|
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