Chinese Llama 2 7B 4bit by soulteary

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  4bit   Autotrain compatible   Endpoints compatible   Llama   Pytorch   Quantized   Region:us   Sharded

Chinese Llama 2 7B 4bit Benchmarks

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

Chinese Llama 2 7B 4bit Parameters and Internals

Additional Notes 
The model can be run using [soulteary/docker-llama2-chat](https://github.com/soulteary/docker-llama2-chat/) for quick deployment.
LLM NameChinese Llama 2 7B 4bit
Repository ๐Ÿค—https://huggingface.co/soulteary/Chinese-Llama-2-7b-4bit 
Base Model(s)  Chinese Llama 2 7B 64K   hfl/chinese-llama-2-7b-64k
Model Size7b
Required VRAM13.5 GB
Updated2025-02-22
Maintainersoulteary
Model Typellama
Model Files  10.0 GB: 1-of-2   3.5 GB: 2-of-2
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length2048
Model Max Length2048
Transformers Version4.31.0
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 soulteary/Chinese-Llama-2-7b-4bit.

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