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Llama 2 7B Bnb 4bit by unsloth

 »  All LLMs  »  unsloth  »  Llama 2 7B Bnb 4bit   URL Share it on

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  4-bit   4bit   Autotrain compatible   Bitsandbytes   En   Endpoints compatible   Llama   Llama2   Quantized   Region:us   Safetensors   Unsloth
Model Card on HF 🤗: https://huggingface.co/unsloth/llama-2-7b-bnb-4bit 

Llama 2 7B Bnb 4bit Benchmarks

LLME Score: 0.1659
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 2 7B Bnb 4bit (unsloth/llama-2-7b-bnb-4bit)
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Llama 2 7B Bnb 4bit Parameters and Internals

Model Type 
text generation
Additional Notes 
This model uses quantized 4-bit technology for faster computation and reduced memory usage through 'bitsandbytes'.
LLM NameLlama 2 7B Bnb 4bit
Repository 🤗https://huggingface.co/unsloth/llama-2-7b-bnb-4bit 
Model Size7b
Required VRAM3.9 GB
Updated2025-09-07
Maintainerunsloth
Model Typellama
Model Files  3.9 GB
Supported Languagesen
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.44.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

Quantized Models of the Llama 2 7B Bnb 4bit

Model
Likes
Downloads
VRAM
...Generator For Emotion Chat Bot053 GB
MediSight LLM 4bit053 GB
Unsloth Model 4bit063 GB
HyperAutoGGUF Q4054 GB
Refined Llama3070 GB
CompletionLlama2GGUF054 GB
OrpoLlama 2 7B074 GB
...inetune Alpaca Unsloth Minimal1413 GB
Gumzo Llama 000120 GB

Best Alternatives to Llama 2 7B Bnb 4bit

Best Alternatives
Context / RAM
Downloads
Likes
Smaugv0.1 6.0bpw H6 EXL2195K / 26.4 GB54
Smaugv0.1 5.0bpw H6 EXL2195K / 22.3 GB63
Smaugv0.1 3.0bpw H6 EXL2195K / 13.9 GB51
Smaugv0.1 4.0bpw H6 EXL2195K / 18 GB71
Smaugv0.1 4.65bpw H6 EXL2195K / 20.8 GB51
Smaugv0.1 8.0bpw H8 EXL2195K / 34.9 GB51
DeepSeek Prover V2 7B 4bit64K / 3.9 GB11764
Mistral 7B Openplatypus 1K32K / 29 GB17510
Mistral 7B OpenOrca 1K32K / 29 GB17353
...rnlm2 20B Llama 4.0bpw H6 EXL232K / 11 GB81
Note: green Score (e.g. "73.2") means that the model is better than unsloth/llama-2-7b-bnb-4bit.

Rank the Llama 2 7B Bnb 4bit Capabilities

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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 v20241124
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