speechless-mistral-hermes-code-7b/README.md

language, library_name, pipeline_tag, datasets, tags, license, model-index

language	library_name	pipeline_tag	datasets	tags	license	model-index
en	transformers	text-generation	teknium/OpenHermes-2.5 TokenBender/python_eval_instruct_51k codefuse-ai/Evol-instruction-66k	code	apache-2.0	name results SpeechlessCoder task dataset metrics type text-generation type name openai_humaneval HumanEval name type value verified pass@1 pass@1 0.0 false

speechless-mistral-hermes-code-7b

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

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

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

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