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Chinese Mistral 7B V0.1 by itpossible

 »  All LLMs  »  itpossible  »  Chinese Mistral 7B V0.1   URL Share it on

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  Autotrain compatible   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/itpossible/Chinese-Mistral-7B-v0.1 

Chinese Mistral 7B V0.1 Benchmarks

LLME Score: 0.20519
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Chinese Mistral 7B V0.1 (itpossible/Chinese-Mistral-7B-v0.1)

Chinese Mistral 7B V0.1 Parameters and Internals

Model Type 
text generation, multimodal
Use Cases 
Areas:
research, commercial applications
Applications:
text generation in Chinese, educational tools
Primary Use Cases:
General AI tasks, Chinese language tasks
Limitations:
Potential to generate misleading or harmful content
Considerations:
Developers must conduct safety testing and adjust the model to meet safety requirements
Additional Notes 
Achieved highest token compression rate in Chinese text handling.
Supported Languages 
Chinese (enhanced), English (supported)
Training Details 
Data Sources:
WanJuan, baike2018qa, Dolma, gutenberg-books
Data Volume:
Not specified
Methodology:
Incremental pre-training with Chinese vocabulary extension
Model Architecture:
Mistral-7B with extended Chinese vocabulary
Release Notes 
Version:
0.1
Date:
2024-03-31
Notes:
Release of the base model Chinese-Mistral-7B
Version:
0.1
Date:
2024-04-04
Notes:
Release of the instruction fine-tuned model Chinese-Mistral-7B-Instruct
LLM NameChinese Mistral 7B V0.1
Repository 🤗https://huggingface.co/itpossible/Chinese-Mistral-7B-v0.1 
Model Size7b
Required VRAM15 GB
Updated2024-12-06
Maintaineritpossible
Model Typemistral
Model Files  3.9 GB: 1-of-4   3.9 GB: 2-of-4   3.9 GB: 3-of-4   3.3 GB: 4-of-4
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size63872
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than itpossible/Chinese-Mistral-7B-v0.1.

Rank the Chinese Mistral 7B V0.1 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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