library_name, tags, license, language, metrics

library_name	tags	license	language	metrics
transformers	chemistry code text-generation-inference	apache-2.0	en zh	accuracy code_eval

Breeze-Petro-7B-Instruct-v1

• Model creator: MediaTek Research
• Original model: MediaTek-Research/Breeze-7B-Instruct-v1_0

Model Description

This is a model fine-tuned based on Breeze-7B-Instruct-v1_0. The training set is mainly based on chemical knowledge and procedural knowledge. Supplement knowledge about the petroleum industry.

• Developed by: RebeccaChou
• License: apache-2.0
• Finetuned from model : [MediaTek-Research/Breeze-7B-Instruct-v1_0
• Language(s) (NLP): [English.繁體中文]

📖 Table of Contents

1.Open LLM Leaderboard - ARC - HellaSwag - MMLU - TruthfulQA - Winogrande - GSM8K 3. EvalPlus Leaderboard - HumanEval - HumanEval_Plus - MBPP - MBPP_Plus 4. Prompt Format 5. Quantized Models 6. Gratitude

🏆 Open LLM Leaderboard

WestSeverus-7B-DPO-v2 is one of the top 7B model in Open LLM Leaderboard and it outperforms on TruthfulQA and GSM8K.

Metric	Value
Avg.	59.32
AI2 Reasoning Challenge (25-Shot)	58.87
HellaSwag (10-Shot)	79.17
MMLU (5-Shot)	56.62
TruthfulQA (0-shot)	46.36
Winogrande (5-shot)	73.64
GSM8k (5-shot)	41.24

Detailed results can be found here

⚡ EvalPlus Leaderboard

Model	HumanEval	HumanEval_Plus	MBPP	MBPP_Plus
phi-2-2.7B	48.2	43.3	61.9	51.4
SOLAR-10.7B-Instruct-v1.0	42.1	34.3	42.9	34.6
CodeLlama-7B	37.8	34.1	57.6	45.4

🛠️ Quantized Models

• GGUF https://huggingface.co/Rebecca19990101/breeze-petro-7b-instruct-v1-q4_k_m.gguf/tree/main

Training Details

Training Data

• Dataset: Rebecca19990101/petro-dataset-v2