初始化项目，由ModelHub XC社区提供模型

Model: PetroGPT/Breeze-Petro-7B-Instruct-v1
Source: Original Platform

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README.md

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+---
+library_name: transformers
+tags:
+- chemistry
+- code
+- text-generation-inference
+license: apache-2.0
+language:
+- en
+- zh
+metrics:
+- accuracy
+- code_eval
+---
+
+# Breeze-Petro-7B-Instruct-v1
+
+- Model creator: [MediaTek Research](https://huggingface.co/MediaTek-Research)
+- Original model: [MediaTek-Research/Breeze-7B-Instruct-v1_0](https://huggingface.co/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](#🏆-open-llm-leaderboard)
+    - ARC
+    - HellaSwag
+    - MMLU
+    - TruthfulQA
+    - Winogrande
+    - GSM8K
+3. [EvalPlus Leaderboard](#⚡-evalplus-leaderboard)
+    - HumanEval
+    - HumanEval_Plus
+    - MBPP
+    - MBPP_Plus
+4. [Prompt Format](#⚗️-prompt-format)
+5. [Quantized Models](#🛠️-quantized-models)
+6. [Gratitude](#🙏-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](https://huggingface.co/datasets/open-llm-leaderboard/details_Rebecca19990101__Breeze-Petro-7B-Instruct-v1)
+
+## ⚡ 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

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+  "transformers_version": "4.41.0.dev0",
+  "use_cache": false,
+  "vocab_size": 61952
+}

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+  "eos_token_id": 2,
+  "transformers_version": "4.41.0.dev0"
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special_tokens_map.json

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+{
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+    "single_word": false
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+    "normalized": false,
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+}

tokenizer.model

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+version https://git-lfs.github.com/spec/v1
+oid sha256:9298e56c094f0d30431b0e52ad53287f0cadc99ac8ca17cc2144b0eb4753f130
+size 911034

tokenizer_config.json

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+{
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+    "61873": {
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+  "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'].strip() %}{% else %}{% set loop_messages = messages %}{% set system_message = 'You are a helpful AI assistant built by MediaTek Research. The user you are helping speaks Traditional Chinese and comes from Taiwan.' %}{% endif %}{{ bos_token }} {{ system_message }} {% for message in loop_messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/... or system/user/assistant/user/assistant/...') }}{% endif %}{% if message['role'] == 'user' %}{{ ' [INST] ' + message['content'] + ' [/INST] ' }}{% elif message['role'] == 'assistant' %}{{ message['content'] }}{% else %}{{ raise_exception('Only user and assistant roles are supported!') }}{% endif %}{% endfor %}",
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+}