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Qwen3.8 27B W4A16 AutoRound by dbirks

By dbirks · 899 downloads
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Qwen3.8 27B W4A16 AutoRound is an open-source language model by dbirks. Features: 27b LLM, VRAM: 18.5GB, License: apache-2.0, LLM Explorer Score: 0.34.

  Arxiv:2309.05516   Auto-round Base model:quantized:qwen/qwen...   Base model:qwen/qwen3.8-27b   Compressed-tensors   Conversational   En   Endpoints compatible   Gptq   Image-text-to-text   Int4   Quantized   Qwen3   Qwen3 5   Region:us   Safetensors   Sharded   Tensorflow   Vllm   W4a16
Model Card on HF 🤗: https://huggingface.co/dbirks/Qwen3.8-27B-W4A16-AutoRound 

Qwen3.8 27B W4A16 AutoRound Parameters and Internals

LLM NameQwen3.8 27B W4A16 AutoRound
Repository 🤗https://huggingface.co/dbirks/Qwen3.8-27B-W4A16-AutoRound 
Base Model(s)  Qwen/Qwen3.8-27B   Qwen/Qwen3.8-27B
Model Size27b
Required VRAM18.5 GB
Updated2026-08-16
Maintainerdbirks
Model Typeqwen3_5
Model Files  3.2 GB: 1-of-7   3.2 GB: 2-of-7   3.2 GB: 3-of-7   3.2 GB: 4-of-7   0.7 GB: 5-of-7   2.5 GB: 6-of-7   2.5 GB: 7-of-7   0.8 GB
Supported Languagesen
Model ArchitectureQwen3_5ForConditionalGeneration
Licenseapache-2.0
Model Max Length262144
Transformers Version5.16.0.dev0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Errorsreplace

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