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--- |
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language: |
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- en |
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library_name: transformers |
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pipeline_tag: text-generation |
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datasets: |
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- jondurbin/airoboros-2.2 |
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- Open-Orca/OpenOrca |
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- garage-bAInd/Open-Platypus |
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- WizardLM/WizardLM_evol_instruct_V2_196k |
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- TokenBender/python_eval_instruct_51k |
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- ise-uiuc/Magicoder-OSS-Instruct-75K |
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- meta-math/MetaMathQA |
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tags: |
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- code |
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license: apache-2.0 |
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model-index: |
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- name: SpeechlessCoder |
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results: |
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- task: |
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type: text-generation |
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dataset: |
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type: openai_humaneval |
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name: HumanEval |
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metrics: |
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- name: pass@1 |
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type: pass@1 |
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value: |
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verified: false |
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--- |
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<p><h1> speechless-code-mistral-7b-v2.0 </h1></p> |
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Code: https://github.com/uukuguy/speechless |
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Use the following dataset to fine-tune mistralai/Mistral-7B-v0.1 in order to improve the model's reasoning and planning abilities. |
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Total 343,370 samples 603 MB |
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- jondurbin/airoboros-2.2: Filter categories related to coding, reasoning and planning. 21,923 samples. |
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- Open-Orca/OpenOrca: Filter the 'cot' category in 1M GPT4 dataset. 62,973 samples. |
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- garage-bAInd/Open-Platypus: 100%, 22,760 samples. |
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- WizardLM/WizardLM_evol_instruct_V2_196k: Coding coversation part. 30,077 samples |
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- TokenBender/python_eval_instruct_51k: “python” in output .39,596 samples |
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- OpenHermes code block in output 18,969 samples |
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- CollectiveCognition-2023-09-27 200 samples |
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- ise-uiuc/Magicoder-OSS-Instruct-75K 75,197 samples |
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- meta-math/MetaMathQA 20% 395K 71,706 samples |
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## HumanEval |
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| Metric | Value | |
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| --- | --- | |
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| humaneval-python | | |
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[Big Code Models Leaderboard](https://huggingface.co./spaces/bigcode/bigcode-models-leaderboard) |
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CodeLlama-34B-Python: 53.29 |
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CodeLlama-34B-Instruct: 50.79 |
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CodeLlama-13B-Instruct: 50.6 |
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CodeLlama-34B: 45.11 |
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CodeLlama-13B-Python: 42.89 |
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CodeLlama-13B: 35.07 |
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## lm-evaluation-harness |
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[Open LLM Leaderboard](https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard) |
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| Metric | Value | |
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| --- | --- | |
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| ARC || |
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| HellaSwag | | |
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| MMLU | | |
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| TruthfulQA | | |
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| Average | | |
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