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Qwen3.8 27B W4A16 AutoRound Fast Embed Int4 by Marcin116

By Marcin116 · 124 downloads
HF Repo ↗ Copy URL

Qwen3.8 27B W4A16 AutoRound Fast Embed Int4 is an open-source language model by Marcin116. Features: 27b LLM, VRAM: 14.9GB, License: apache-2.0.

Base model:quantized:qwen/qwen...   Base model:qwen/qwen3.8-27b   Compressed-tensors   Conversational   Dflash2   Endpoints compatible   Image-text-to-text   Int4   Qwen3.8   Qwen3 5   Region:us   Rtx3090   Safetensors   Sharded   Tensorflow   W4a16
Model Card on HF 🤗: https://huggingface.co/Marcin116/Qwen3.8-27B-W4A16-AutoRound-fast-embed-int4 

Qwen3.8 27B W4A16 AutoRound Fast Embed Int4 Parameters and Internals

LLM NameQwen3.8 27B W4A16 AutoRound Fast Embed Int4
Repository 🤗https://huggingface.co/Marcin116/Qwen3.8-27B-W4A16-AutoRound-fast-embed-int4 
Base Model(s)  Qwen/Qwen3.8-27B   Qwen/Qwen3.8-27B
Model Size27b
Required VRAM14.9 GB
Updated2026-09-13
MaintainerMarcin116
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   0.7 GB: 6-of-7   0.7 GB: 7-of-7   0.3 GB   0.0 GB
Model ArchitectureQwen3_5ForConditionalGeneration
Licenseapache-2.0
Model Max Length262144
Transformers Version5.16.0.dev0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Errorsreplace

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