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Qwen3.6 35B A3B PrismaQuant 4.75bit Vllm by rdtand

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Qwen3.6 35B A3B PrismaQuant 4.75bit Vllm is an open-source language model by rdtand. Features: 35b LLM, VRAM: 23.5GB, License: apache-2.0, LLM Explorer Score: 0.39.

  8-bit Base model:quantized:qwen/qwen... Base model:qwen/qwen3.6-35b-a3...   Compressed-tensors   Conversational   Deltanet   En   Image-text-to-text   Mixed-precision   Moe   Mtp   Multilingual   Multimodal   Mxfp8   Nvfp4   Prismaquant   Prismquant   Quantized   Qwen3.6   Qwen3 5 moe   Region:us   Safetensors   Sharded   Speculative-decoding   Tensorflow   Vision-language   Vllm
Model Card on HF 🤗: https://huggingface.co/rdtand/Qwen3.6-35B-A3B-PrismaQuant-4.75bit-vllm 

Qwen3.6 35B A3B PrismaQuant 4.75bit Vllm Benchmarks

LLME Score: 0.39139
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 PrismaQuant 4.75bit Vllm (rdtand/Qwen3.6-35B-A3B-PrismaQuant-4.75bit-vllm)
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Qwen3.6 35B A3B PrismaQuant 4.75bit Vllm Parameters and Internals

LLM NameQwen3.6 35B A3B PrismaQuant 4.75bit Vllm
Repository 🤗https://huggingface.co/rdtand/Qwen3.6-35B-A3B-PrismaQuant-4.75bit-vllm 
Base Model(s)  Qwen/Qwen3.6-35B-A3B   Qwen/Qwen3.6-35B-A3B
Model Size35b
Required VRAM23.5 GB
Updated2026-05-13
Maintainerrdtand
Model Typeqwen3_5_moe
Model Files  4.7 GB: 1-of-6   4.7 GB: 2-of-6   4.7 GB: 3-of-6   4.7 GB: 4-of-6   4.7 GB: 5-of-6   0.0 GB: 6-of-6
Supported Languagesen
Model ArchitectureQwen3_5MoeForConditionalGeneration
Licenseapache-2.0
Model Max Length262144
Transformers Version4.57.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Errorsreplace

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