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)
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Model size
7.24B params
Tensor type
FP16
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Evaluation results