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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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- teknium/OpenHermes-2.5 |
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- TokenBender/python_eval_instruct_51k |
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- codefuse-ai/Evol-instruction-66k |
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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: 0.0 |
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verified: false |
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--- |
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<p><h1> speechless-mistral-hermes-code-7b </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 986k samples. |
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- teknium/OpenHermes-2.5 |
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- TokenBender/python_eval_instruct_51k |
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- Spider |
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- codefuse-ai/Evol-instruction-66k |
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## How to Prompt the Model |
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This model accepts the Alpaca instruction format. |
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For example: |
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``` |
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You are an intelligent programming assistant. |
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### Instruction: |
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Implement a linked list in C++ |
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### Response: |
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``` |
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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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## lm-evaluation-harness |
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```json |
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{'ARC (acc_norm)': , |
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'HellaSwag (acc_norm)': , |
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'MMLU (acc)': , |
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'TruthfulQA (mc2)': , |
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'Winoground (acc)': , |
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'GSM8K (acc)': , |
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'DROP (f1)': , |
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'Open LLM Score': } |
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``` |
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) |
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_uukuguy__speechless-code-mistral-7b-v1.0) |
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| Metric | Value | |
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|-----------------------|---------------------------| |
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| Avg. | | |
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| ARC (25-shot) | | |
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| HellaSwag (10-shot) | | |
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| MMLU (5-shot) | | |
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| TruthfulQA (0-shot) | | |
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| Winogrande (5-shot) | | |
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| GSM8K (5-shot) | | |
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| DROP (3-shot) | | |
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