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Model: uukuguy/speechless-code-mistral-7b-v2.0 Source: Original Platform
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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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