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Qwen3.6 35B A3B NVFP4 by mmangkad

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Qwen3.6 35B A3B NVFP4 is an open-source language model by mmangkad. Features: 35b LLM, VRAM: 25.6GB, License: apache-2.0, LLM Explorer Score: 0.35.

Base model:quantized:qwen/qwen... Base model:qwen/qwen3.6-35b-a3...   Conversational   Fp4   Model optimizer   Modelopt   Quantized   Qwen3.6   Qwen3 5 moe   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/mmangkad/Qwen3.6-35B-A3B-NVFP4 

Qwen3.6 35B A3B NVFP4 Benchmarks

LLME Score: 0.35179
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3.6 35B A3B NVFP4 (mmangkad/Qwen3.6-35B-A3B-NVFP4)
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Qwen3.6 35B A3B NVFP4 Parameters and Internals

LLM NameQwen3.6 35B A3B NVFP4
Repository 🤗https://huggingface.co/mmangkad/Qwen3.6-35B-A3B-NVFP4 
Base Model(s)  Qwen/Qwen3.6-35B-A3B   Qwen/Qwen3.6-35B-A3B
Model Size35b
Required VRAM25.6 GB
Updated2026-05-02
Maintainermmangkad
Model Typeqwen3_5_moe
Model Files  25.6 GB
Model ArchitectureQwen3_5MoeForConditionalGeneration
Licenseapache-2.0
Model Max Length262144
Transformers Version5.3.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Errorsreplace

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Qwen3.6 35B A3B PRISM NVFP40K / 1.7 GB2577
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Qwen3.6 35B A3B UD Q4 K XL Mlx0K / 22.7 GB76228
Note: green Score (e.g. "73.2") means that the model is better than mmangkad/Qwen3.6-35B-A3B-NVFP4.

Rank the Qwen3.6 35B A3B NVFP4 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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