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Qwen3.6 35B A3B PRISM NVFP4 by Ex0bit

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Qwen3.6 35B A3B PRISM NVFP4 is an open-source language model by Ex0bit. Features: 35b LLM, VRAM: 1.7GB, License: apache-2.0, LLM Explorer Score: 0.34.

Base model:quantized:qwen/qwen... Base model:qwen/qwen3.6-35b-a3...   Compressed-tensors   Conversational   Moe   Nvfp4   Qwen3.5   Qwen3 5 moe   Region:us   Safetensors   Vllm   W4a4
Model Card on HF 🤗: https://huggingface.co/Ex0bit/Qwen3.6-35B-A3B-PRISM-NVFP4 

Qwen3.6 35B A3B PRISM NVFP4 Benchmarks

LLME Score: 0.33548
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 PRISM NVFP4 (Ex0bit/Qwen3.6-35B-A3B-PRISM-NVFP4)
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Qwen3.6 35B A3B PRISM NVFP4 Parameters and Internals

LLM NameQwen3.6 35B A3B PRISM NVFP4
Repository 🤗https://huggingface.co/Ex0bit/Qwen3.6-35B-A3B-PRISM-NVFP4 
Base Model(s)  Qwen/Qwen3.6-35B-A3B   Qwen/Qwen3.6-35B-A3B
Model Size35b
Required VRAM1.7 GB
Updated2026-06-16
MaintainerEx0bit
Model Typeqwen3_5_moe
Model Files  23.4 GB   1.7 GB
Model ArchitectureQwen3_5MoeForConditionalGeneration
Licenseapache-2.0
Model Max Length262144
Transformers Version5.5.4
Tokenizer ClassTokenizersBackend
Padding Token<|endoftext|>
Errorsreplace

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Qwen3.6 35B A3B RAM 25GB MLX0K / 26.4 GB1193
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Note: green Score (e.g. "73.2") means that the model is better than Ex0bit/Qwen3.6-35B-A3B-PRISM-NVFP4.

Rank the Qwen3.6 35B A3B PRISM 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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