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Qwen2 7B Instruct Nf4 by fubuki9

 »  All LLMs  »  fubuki9  »  Qwen2 7B Instruct Nf4   URL Share it on

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  Arxiv:1910.09700   4-bit   Autotrain compatible   Bitsandbytes   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/fubuki9/Qwen2-7B-Instruct-nf4 

Qwen2 7B Instruct Nf4 Benchmarks

LLME Score: 0.18026
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)

Qwen2 7B Instruct Nf4 Parameters and Internals

LLM NameQwen2 7B Instruct Nf4
Repository 🤗https://huggingface.co/fubuki9/Qwen2-7B-Instruct-nf4 
Model Size7b
Required VRAM5.9 GB
Updated2025-06-01
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 4bit630065 GB
Qwen2 7B Instruct 4bit38614 GB
Qwen2 7B Instruct 4bit1135 GB

Best Alternatives to Qwen2 7B Instruct Nf4

Best Alternatives
Context / RAM
Downloads
Likes
Qwen2.5 7B Instruct 1M986K / 15.4 GB2113335328
Qwen2.5 7B RRP 1M986K / 15.2 GB2216
Hush Qwen2.5 7B RP V1.4 1M986K / 15.2 GB422
Qwen2.5 7B CelestialHarmony 1M986K / 14.8 GB137
Q2.5 Instruct 1M Harmony986K / 15.2 GB192
Impish QWEN 7B 1M986K / 15.2 GB244
COCO 7B Instruct 1M986K / 15.2 GB114
Apollo 7B986K / 15.2 GB100
Qwen2.5 7B Instruct 1M986K / 15.2 GB8602
Qwen2.5 7B Sky R1 Mini986K / 15.2 GB110
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 v20241227
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