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Model: themex1380/Gemma-2-9B-Chinese-Chat-Uncensored
Source: Original Platform

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README.md

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+---
+base_model: shenzhi-wang/Gemma-2-9B-Chinese-Chat
+datasets:
+- V3N0M/Jenna-50K-Alpaca-Uncensored
+language:
+- zh
+- en
+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/Gemma-2-9B-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 and Log
+
+- **[ipynb file](https://huggingface.co/stephenlzc/Gemma-2-9B-Chinese-Chat-Uncensored/resolve/main/Training%20script%20and%20logs.ipynb)**
+
+### Training Procedure Raw Files
+
+  - ALL the procedure are training on **[Runpod.io](https://www.runpod.io/)**
+
+
+  - **Hardware in Vast.ai**: 
+
+    - **GPU**: 1 x A100 SXM 80G
+        
+    - **CPU**: 16vCPU
+  
+    - **RAM**: 251 GB
+   
+    - **Disk Space To Allocate**：>150GB
+  
+    - **Docker Image**: runpod/pytorch:2.2.0-py3.10-cuda12.1.1-devel-ubuntu22.04
+  
+
+
+### Training Data
+- **Base Model**
+  - [shenzhi-wang/Gemma-2-9B-Chinese-Chat](https://huggingface.co/shenzhi-wang/Gemma-2-9B-Chinese-Chat)  
+
+- **Dataset**
+  - [V3N0M/Jenna-50K-Alpaca-Uncensored](https://huggingface.co/datasets/V3N0M/Jenna-50K-Alpaca-Uncensored)
+
+
+
+### Usage
+```python
+from transformers import pipeline
+
+qa_model = pipeline("question-answering", model='stephenlzc/Gemma-2-9B-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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+  "base_model_name_or_path": "shenzhi-wang/Gemma-2-9B-Chinese-Chat",
+  "bias": "none",
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+  "inference_mode": true,
+  "init_lora_weights": true,
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+  "r": 16,
+  "rank_pattern": {},
+  "revision": "unsloth",
+  "target_modules": [
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+    "up_proj",
+    "v_proj",
+    "q_proj",
+    "k_proj",
+    "gate_proj",
+    "down_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

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config.json

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+  "_name_or_path": "stephenlzc/Gemma-2-9B-Chinese-Chat-Uncensored",
+  "architectures": [
+    "Gemma2ForCausalLM"
+  ],
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+  "rms_norm_eps": 1e-06,
+  "rope_theta": 10000.0,
+  "sliding_window": 4096,
+  "sliding_window_size": 4096,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.42.2",
+  "use_cache": false,
+  "vocab_size": 256000
+}

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