Chinese Llama 2 7B 4bit by soulteary

 »  All LLMs  »  soulteary  »  Chinese Llama 2 7B 4bit   URL Share it on

Chinese Llama 2 7B 4bit is an open-source language model by soulteary. Features: 7b LLM, VRAM: 13.5GB, Context: 2K, License: llama2, Quantized, LLM Explorer Score: 0.12, Arc: 44.5, HellaSwag: 69.5, MMLU: 37.4, GSM8K: 3.8.

  4bit   Endpoints compatible   Llama   Pytorch   Quantized   Region:us   Sharded

Chinese Llama 2 7B 4bit Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

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 🤗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
Updated2026-05-24
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

Best Alternatives to Chinese Llama 2 7B 4bit

Best Alternatives
Context / RAM
Downloads
Likes
Smaugv0.1 6.0bpw H6 EXL2195K / 26.4 GB54
Smaugv0.1 5.0bpw H6 EXL2195K / 22.3 GB83
Smaugv0.1 4.0bpw H6 EXL2195K / 18 GB41
Smaugv0.1 8.0bpw H8 EXL2195K / 34.9 GB41
Smaugv0.1 4.65bpw H6 EXL2195K / 20.8 GB31
Smaugv0.1 3.0bpw H6 EXL2195K / 13.9 GB51
DeepSeek Prover V2 7B 4bit64K / 3.9 GB3204
Mistral 7B Openplatypus 1K32K / 29 GB18140
Mistral 7B OpenOrca 1K32K / 29 GB18113
...rnlm2 20B Llama 4.0bpw H6 EXL232K / 11 GB11
Note: green Score (e.g. "73.2") means that the model is better than soulteary/Chinese-Llama-2-7b-4bit.

Rank the Chinese Llama 2 7B 4bit 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  

What open-source LLMs or SLMs are you in search of? 53972 in total.

Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Check out Ag3ntum — our secure, self-hosted AI agent for server management.
Release v20260328a