README.md

---
language:
- en
library_name: transformers
pipeline_tag: text-generation
datasets:
- teknium/OpenHermes-2.5
- TokenBender/python_eval_instruct_51k
- codefuse-ai/Evol-instruction-66k
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: 0.0
      verified: false
---

<p><h1> speechless-mistral-hermes-code-7b  </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 986k samples.
- teknium/OpenHermes-2.5
- TokenBender/python_eval_instruct_51k
- Spider
- codefuse-ai/Evol-instruction-66k

## How to Prompt the Model
This model accepts the Alpaca instruction format.

For example:
```
You are an intelligent programming assistant.

### Instruction:
Implement a linked list in C++

### Response:
```

## HumanEval

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

## lm-evaluation-harness

```json
{'ARC (acc_norm)': ,
'HellaSwag (acc_norm)': ,
'MMLU (acc)': ,
'TruthfulQA (mc2)': ,
'Winoground (acc)': ,
'GSM8K (acc)': ,
'DROP (f1)': ,
'Open LLM Score': }
```

# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_uukuguy__speechless-code-mistral-7b-v1.0)

| Metric                | Value                     |
|-----------------------|---------------------------|
| Avg.                  |    |
| ARC (25-shot)         |           |
| HellaSwag (10-shot)   |     |
| MMLU (5-shot)         |          |
| TruthfulQA (0-shot)   |    |
| Winogrande (5-shot)   |    |
| GSM8K (5-shot)        |         |
| DROP (3-shot)         |          |