
<p><h1> speechless-code-mistral-7b-v2.0  </h1></p>

Code: https://github.com/uukuguy/speechless

Use the following dataset to fine-tune mistralai/Mistral-7B-v0.1 in order to improve the model's reasoning and planning abilities.

Total 343,370 samples 603 MB

- jondurbin/airoboros-2.2: Filter categories related to coding, reasoning and planning. 21,923 samples.
- Open-Orca/OpenOrca: Filter the 'cot' category in 1M GPT4 dataset. 62,973 samples.
- garage-bAInd/Open-Platypus: 100%, 22,760 samples.
- WizardLM/WizardLM_evol_instruct_V2_196k: Coding coversation part. 30,077 samples
- TokenBender/python_eval_instruct_51k: “python” in output .39,596 samples
- OpenHermes code block in output  18,969 samples
- CollectiveCognition-2023-09-27 200 samples
- ise-uiuc/Magicoder-OSS-Instruct-75K 75,197 samples
- meta-math/MetaMathQA 20% 395K 71,706 samples

## HumanEval

| Metric | Value |
| --- | --- |
| humaneval-python | |

[Big Code Models Leaderboard](https://huggingface.co/spaces/bigcode/bigcode-models-leaderboard)

CodeLlama-34B-Python: 53.29

CodeLlama-34B-Instruct: 50.79

CodeLlama-13B-Instruct: 50.6

CodeLlama-34B: 45.11

CodeLlama-13B-Python: 42.89

CodeLlama-13B: 35.07

## lm-evaluation-harness

[Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
| Metric | Value |
| --- | --- |
| ARC ||
| HellaSwag | |
| MMLU | |
| TruthfulQA |  |
| Average |  |


{"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["code"], "datasets": ["jondurbin/airoboros-2.2", "Open-Orca/OpenOrca", "garage-bAInd/Open-Platypus", "WizardLM/WizardLM_evol_instruct_V2_196k", "TokenBender/python_eval_instruct_51k", "ise-uiuc/Magicoder-OSS-Instruct-75K", "meta-math/MetaMathQA"], "pipeline_tag": "text-generation", "model-index": [{"name": "SpeechlessCoder", "results": [{"task": {"type": "text-generation"}, "dataset": {"name": "HumanEval", "type": "openai_humaneval"}, "metrics": [{"type": "pass@1", "name": "pass@1", "verified": false}]}]}]}
transformers pytorch mistral text-generation code en dataset:jondurbin/airoboros-2.2 dataset:Open-Orca/OpenOrca dataset:garage-bAInd/Open-Platypus dataset:WizardLM/WizardLM_evol_instruct_V2_196k dataset:TokenBender/python_eval_instruct_51k dataset:ise-uiuc/Magicoder-OSS-Instruct-75K dataset:meta-math/MetaMathQA license:apache-2.0 model-index autotrain_compatible endpoints_compatible text-generation-inference region:us