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Model: stephenlzc/Mistral-7B-v0.3-Chinese-Chat-uncensored Source: Original Platform
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Mistral-7B-v0.3-Chinese-Chat-uncensored.ipynb
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Mistral-7B-v0.3-Chinese-Chat-uncensored.ipynb
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README.md
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README.md
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---
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base_model: shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat
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datasets:
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- Minami-su/toxic-sft-zh
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- llm-wizard/alpaca-gpt4-data-zh
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- stephenlzc/stf-alpaca
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language:
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- zh
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license: mit
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pipeline_tag: text-generation
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tags:
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- text-generation-inference
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- code
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- unsloth
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- uncensored
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- finetune
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task_categories:
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- conversational
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widget:
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- text: >-
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Is this review positive or negative? Review: Best cast iron skillet you will
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ever buy.
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example_title: Sentiment analysis
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- text: >-
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Barack Obama nominated Hilary Clinton as his secretary of state on Monday.
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He chose her because she had ...
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example_title: Coreference resolution
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- text: >-
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On a shelf, there are five books: a gray book, a red book, a purple book, a
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blue book, and a black book ...
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example_title: Logic puzzles
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- text: >-
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The two men running to become New York City's next mayor will face off in
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their first debate Wednesday night ...
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example_title: Reading comprehension
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---
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## Model Details
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### Model Description
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- 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.
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- [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
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### Training Code
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- [](https://colab.research.google.com/drive/1K9stY8LMVcySG0jDMYZdWQCFPfoDFBL-?usp=sharing)
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### Training Procedure Raw Files
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- ALL the procedure are training on **[Vast.ai](https://cloud.vast.ai/?ref_id=138637)**
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- **Hardware in Vast.ai**:
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- **GPU**: 1x A100 SXM4 80GB
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- **CPU**: AMD EPYC 7513 32-Core Processor
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- **RAM**: 129 GB
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- **Disk Space To Allocate**：>150GB
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- **Docker Image**: pytorch/pytorch:2.2.0-cuda12.1-cudnn8-devel
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- 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)**.
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### Training Data
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- **Base Model**
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- [shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat](https://huggingface.co/shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat)
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- **Dataset**
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- [Minami-su/toxic-sft-zh](https://huggingface.co/datasets/Minami-su/toxic-sft-zh)
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- [llm-wizard/alpaca-gpt4-data-zh](https://huggingface.co/datasets/llm-wizard/alpaca-gpt4-data-zh)
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- [stephenlzc/stf-alpaca](https://huggingface.co/datasets/stephenlzc/stf-alpaca)
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### Usage
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```python
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from transformers import pipeline
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qa_model = pipeline("question-answering", model='stephenlzc/Mistral-7B-v0.3-Chinese-Chat-uncensored')
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question = "How to make girlfreind laugh? please answer in Chinese."
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qa_model(question = question)
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```
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###
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[<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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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"model.layers.8.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.8.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.8.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.8.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.8.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.9.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.9.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.9.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.9.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.9.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.9.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.9.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.9.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.9.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.norm.weight": "model-00003-of-00003.safetensors"
|
||||
}
|
||||
}
|
||||
24
special_tokens_map.json
Normal file
24
special_tokens_map.json
Normal file
@@ -0,0 +1,24 @@
|
||||
{
|
||||
"bos_token": {
|
||||
"content": "<s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eos_token": {
|
||||
"content": "</s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": "[control_768]",
|
||||
"unk_token": {
|
||||
"content": "<unk>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
3
tokenizer.model
Normal file
3
tokenizer.model
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:37f00374dea48658ee8f5d0f21895b9bc55cb0103939607c8185bfd1c6ca1f89
|
||||
size 587404
|
||||
6189
tokenizer_config.json
Normal file
6189
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
3
unsloth.F16.gguf
Normal file
3
unsloth.F16.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:e2d1ac0c5396e26c501b9f3acf20989f86642422a736bd7a8ae61d5cf2597aa1
|
||||
size 14497337248
|
||||
3
unsloth.Q4_K_M.gguf
Normal file
3
unsloth.Q4_K_M.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:4bbb6410a5d46a171e103eff59eff979829cedb909171e726f11dd8e83c6f5de
|
||||
size 4372811680
|
||||
3
unsloth.Q8_0.gguf
Normal file
3
unsloth.Q8_0.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:6a5cd4842260dabbed0da44bbc1bf4907c4df61c4e0b6fcfe69d79938630e6c3
|
||||
size 7702564768
|
||||
Reference in New Issue
Block a user