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Qwen3.5 4B INT8 by AxisQuant

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Qwen3.5 4B INT8 is an open-source language model by AxisQuant. Features: 4b LLM, VRAM: 4.8GB, Context: 256K, License: apache-2.0, LLM Explorer Score: 0.26.

  8-bit Base model:quantized:qwen/qwen...   Base model:qwen/qwen3.5-4b   Bitsandbytes   Conversational   En   Endpoints compatible   Int8   Quantization   Qwen   Qwen3.5   Qwen3 5 text   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/AxisQuant/Qwen3.5-4B-INT8 

Qwen3.5 4B INT8 Benchmarks

LLME Score: 0.25611
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3.5 4B INT8 (AxisQuant/Qwen3.5-4B-INT8)
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Qwen3.5 4B INT8 Parameters and Internals

LLM NameQwen3.5 4B INT8
Repository 🤗https://huggingface.co/AxisQuant/Qwen3.5-4B-INT8 
Base Model(s)  Qwen/Qwen3.5-4B   Qwen/Qwen3.5-4B
Model Size4b
Required VRAM4.8 GB
Updated2026-06-09
MaintainerAxisQuant
Model Typeqwen3_5_text
Model Files  4.8 GB
Supported Languagesen
Model ArchitectureQwen3_5ForCausalLM
Licenseapache-2.0
Context Length262144
Model Max Length262144
Transformers Version5.7.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size248320
Errorsreplace

Best Alternatives to Qwen3.5 4B INT8

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Qwen35 4B Soyuz Merged256K / 8.4 GB12313
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Retrico Lm 4B Finetuned V4256K / 0 GB1430
Qwen3.5 4B INT8256K / 4.8 GB1112
Qwen3.5 4B Ru Json Extractor256K / 8.4 GB470
Holo 3.1 4B Coder256K / 16.8 GB210
Distil Qwen35 4B256K / 8.4 GB2222
...n3.5 4B Ru Norm Link Extractor256K / 8.4 GB140
VYOM 4B256K / 8.4 GB51
Qwen3.5 4B Code Forged256K / 8.4 GB1590
Note: green Score (e.g. "73.2") means that the model is better than AxisQuant/Qwen3.5-4B-INT8.

Rank the Qwen3.5 4B INT8 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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