---
language:
- en
library_name: transformers
pipeline_tag: text-generation
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
tags:
- code
license: apache-2.0
model-index:
- name: SpeechlessCoder
  results:
  - task:
      type: text-generation
    dataset:
      type: openai_humaneval
      name: HumanEval
    metrics:
    - name: pass@1
      type: pass@1
      value: 
      verified: false
---

<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 |  |