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Model: stephenlzc/Mistral-7B-v0.3-Chinese-Chat-uncensored
Source: Original Platform

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README.md

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+---
+base_model: shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat
+datasets:
+- Minami-su/toxic-sft-zh
+- llm-wizard/alpaca-gpt4-data-zh
+- stephenlzc/stf-alpaca
+language:
+- zh
+license: mit
+pipeline_tag: text-generation
+tags:
+- text-generation-inference
+- code
+- unsloth
+- uncensored
+- finetune
+task_categories:
+- conversational
+widget:
+- text: >-
+    Is this review positive or negative? Review: Best cast iron skillet you will
+    ever buy.
+  example_title: Sentiment analysis
+- text: >-
+    Barack Obama nominated Hilary Clinton as his secretary of state on Monday.
+    He chose her because she had ...
+  example_title: Coreference resolution
+- text: >-
+    On a shelf, there are five books: a gray book, a red book, a purple book, a
+    blue book, and a black book ...
+  example_title: Logic puzzles
+- text: >-
+    The two men running to become New York City's next mayor will face off in
+    their first debate Wednesday night ...
+  example_title: Reading comprehension
+---
+
+
+## Model Details
+
+### Model Description
+
+- Using **shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat** as base model, and finetune the dataset as mentioned via **[unsloth](https://github.com/unslothai/unsloth)**. Makes the model uncensored.
+- [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
+### Training Code
+
+- [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1K9stY8LMVcySG0jDMYZdWQCFPfoDFBL-?usp=sharing)
+
+### Training Procedure Raw Files
+
+  - ALL the procedure are training on **[Vast.ai](https://cloud.vast.ai/?ref_id=138637)**
+
+
+  - **Hardware in Vast.ai**: 
+
+    - **GPU**: 1x A100 SXM4 80GB
+  
+    - **CPU**: AMD EPYC 7513 32-Core Processor
+  
+    - **RAM**: 129 GB
+   
+    - **Disk Space To Allocate**：>150GB
+  
+    - **Docker Image**: pytorch/pytorch:2.2.0-cuda12.1-cudnn8-devel
+  
+    - Download the **[ipynb file](https://huggingface.co/stephenlzc/Mistral-7B-v0.3-Chinese-Chat-uncensored/blob/main/Mistral-7B-v0.3-Chinese-Chat-uncensored.ipynb)**.
+
+
+### Training Data
+- **Base Model**
+  - [shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat](https://huggingface.co/shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat)  
+
+- **Dataset**
+  - [Minami-su/toxic-sft-zh](https://huggingface.co/datasets/Minami-su/toxic-sft-zh)
+  - [llm-wizard/alpaca-gpt4-data-zh](https://huggingface.co/datasets/llm-wizard/alpaca-gpt4-data-zh)
+  - [stephenlzc/stf-alpaca](https://huggingface.co/datasets/stephenlzc/stf-alpaca)
+
+
+### Usage
+```python
+from transformers import pipeline
+
+qa_model = pipeline("question-answering", model='stephenlzc/Mistral-7B-v0.3-Chinese-Chat-uncensored')
+question = "How to make girlfreind laugh? please answer in Chinese."
+qa_model(question = question)
+```
+
+###
+[<img src="https://img.buymeacoffee.com/button-api/?text=Buy me a coffee&emoji=&slug=chicongliau&button_colour=40DCA5&font_colour=ffffff&font_family=Poppins&outline_colour=000000&coffee_colour=FFDD00" width="200"/>](https://www.buymeacoffee.com/chicongliau)

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+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
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+  "vocab_size": 32768
+}

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