Chinese Llama 2 7B 4bit by LinkSoul

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  Merged Model   4bit   Autotrain compatible Dataset:linksoul/instruction m...   En   Endpoints compatible   Instruct   Llama   Pytorch   Quantized   Region:us   Sharded   Zh

Chinese Llama 2 7B 4bit Benchmarks

Chinese Llama 2 7B 4bit (LinkSoul/Chinese-Llama-2-7b-4bit)

Chinese Llama 2 7B 4bit Parameters and Internals

Model Type 
text generation, multimodal
Use Cases 
Areas:
research, commercial
Applications:
text generation
Primary Use Cases:
multilingual chatbots in Chinese and English
Additional Notes 
Compatible with all optimizations for the original Llama-2-chat model
Supported Languages 
zh (high), en (moderate)
Training Details 
Data Sources:
LinkSoul/instruction_merge_set
Data Volume:
10 million
Model Architecture:
Llama-2-chat with optimizations
Input Output 
Input Format:
Llama-2-chat format with instructions
Accepted Modalities:
text
Output Format:
text
LLM NameChinese Llama 2 7B 4bit
Repository ๐Ÿค—https://huggingface.co/LinkSoul/Chinese-Llama-2-7b-4bit 
Base Model(s)  Chinese Llama 2 7B 64K   hfl/chinese-llama-2-7b-64k
Merged ModelYes
Model Size7b
Required VRAM13.5 GB
Updated2025-02-22
MaintainerLinkSoul
Model Typellama
Instruction-BasedYes
Model Files  10.0 GB: 1-of-2   3.5 GB: 2-of-2
Supported Languageszh en
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Licenseopenrail
Context Length2048
Model Max Length2048
Transformers Version4.30.2
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than LinkSoul/Chinese-Llama-2-7b-4bit.

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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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227