85 lines
1.9 KiB
Markdown
85 lines
1.9 KiB
Markdown
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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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