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Qwen3.6 27B Int4 AutoRound by Lorbus

By Lorbus · 926139 downloads

Qwen3.6 27B Int4 AutoRound is an open-source language model by Lorbus. Features: 27b LLM, VRAM: 18.4GB, License: apache-2.0, LLM Explorer Score: 0.38.

  Arxiv:2309.05516   4-bit   Auto-round   Autoround Base model:quantized:qwen/qwen...   Base model:qwen/qwen3.6-27b   Conversational   Endpoints compatible   Image-text-to-text   Int4   Mtp   Multimodal   Quantization   Qwen3 5   Region:us   Safetensors   Sharded   Speculative-decoding   Tensorflow   Vllm   W4a16   W4g128

Qwen3.6 27B Int4 AutoRound Parameters and Internals

LLM NameQwen3.6 27B Int4 AutoRound
Repository πŸ€—https://huggingface.co/Lorbus/Qwen3.6-27B-int4-AutoRound 
Base Model(s)  Qwen/Qwen3.6-27B   Qwen/Qwen3.6-27B
Model Size27b
Required VRAM18.4 GB
Updated2026-08-09
MaintainerLorbus
Model Typeqwen3_5
Model Files  2.1 GB: 1-of-10   2.1 GB: 2-of-10   2.1 GB: 3-of-10   2.1 GB: 4-of-10   2.1 GB: 5-of-10   2.1 GB: 6-of-10   0.8 GB: 7-of-10   2.5 GB: 8-of-10   0.0 GB: 9-of-10   2.5 GB: 10-of-10   0.3 GB
Model ArchitectureQwen3_5ForConditionalGeneration
Licenseapache-2.0
Model Max Length262144
Transformers Version5.5.4
Tokenizer ClassTokenizersBackend
Padding Token<|endoftext|>
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than Lorbus/Qwen3.6-27B-int4-AutoRound.