Qwen2 7B Instruct Nf4 by fubuki9

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Qwen2 7B Instruct Nf4 is an open-source language model by fubuki9. Features: 7b LLM, VRAM: 5.9GB, Context: 32K, Instruction-Based, LLM Explorer Score: 0.14.

  Arxiv:1910.09700   4-bit   Autotrain compatible   Bitsandbytes   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow

Qwen2 7B Instruct Nf4 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2 7B Instruct Nf4 (fubuki9/Qwen2-7B-Instruct-nf4)
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Qwen2 7B Instruct Nf4 Parameters and Internals

LLM NameQwen2 7B Instruct Nf4
Repository ๐Ÿค—https://huggingface.co/fubuki9/Qwen2-7B-Instruct-nf4 
Model Size7b
Required VRAM5.9 GB
Updated2025-09-23
Maintainerfubuki9
Model Typeqwen2
Instruction-BasedYes
Model Files  4.8 GB: 1-of-2   1.1 GB: 2-of-2
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.40.1
Vocabulary Size152064
Torch Data Typefloat16

Quantized Models of the Qwen2 7B Instruct Nf4

Model
Likes
Downloads
VRAM
Qwen2 7B Instruct Bnb 4bit729435 GB
Qwen2 7B Instruct 4bit325144 GB
Qwen2 7B Instruct 4bit1175 GB

Best Alternatives to Qwen2 7B Instruct Nf4

Best Alternatives
Context / RAM
Downloads
Likes
Qwen2.5 7B Instruct 1M986K / 15.4 GB101838363
Hush Qwen2.5 7B RP V1.4 1M986K / 15.2 GB42
Qwen2.5 7B RRP 1M986K / 15.2 GB46
Qwen2.5 7B CelestialHarmony 1M986K / 14.8 GB37
Q2.5 Instruct 1M Harmony986K / 15.2 GB42
Impish QWEN 7B 1M986K / 15.2 GB76
COCO 7B Instruct 1M986K / 15.2 GB184
Apollo 7B986K / 15.2 GB60
Graph R1 7B986K / 15.3 GB53
Qwen2.5 7B Sky R1 Mini986K / 15.2 GB70
Note: green Score (e.g. "73.2") means that the model is better than fubuki9/Qwen2-7B-Instruct-nf4.

Rank the Qwen2 7B Instruct Nf4 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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Release v20260328a