What are the hardware requirements for Qwen3.8 27B GPTQ Int4 Asym?

Qwen3.8 27B GPTQ Int4 Asym requires approximately 0.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.8 27B GPTQ Int4 Asym and how large is it?

Qwen3.8 27B GPTQ Int4 Asym is developed by darioooooo0o, a model with 27b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Qwen3.8 27B GPTQ Int4 Asym?

Qwen3.8 27B GPTQ Int4 Asym is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.8 27B GPTQ Int4 Asym by darioooooo0o — VRAM 0.2GB

Name: Qwen3.8 27B GPTQ Int4 Asym
Author: darioooooo0o

Qwen3.8 27B GPTQ Int4 Asym is an open-source language model by darioooooo0o. Features: 27b LLM, VRAM: 0.2GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.29.

4-bit Base model:quantized:qwen/qwen... Base model:qwen/qwen3.8-27b Conversational Endpoints compatible Gptq Image-text-to-text Int4 Intel-arc Quantized Qwen3.8 Qwen3 5 Region:us Safetensors Vllm Xpu

Model Card on HF 🤗: https://huggingface.co/darioooooo0o/Qwen3.8-27B-GPTQ-Int4-asym

Qwen3.8 27B GPTQ Int4 Asym Parameters and Internals

LLM Name	Qwen3.8 27B GPTQ Int4 Asym
Repository 🤗	https://huggingface.co/darioooooo0o/Qwen3.8-27B-GPTQ-Int4-asym
Base Model(s)	Qwen/Qwen3.8-27B Qwen/Qwen3.8-27B
Model Size	27b
Required VRAM	0.2 GB
Updated	2026-10-21
Maintainer	darioooooo0o
Model Type	qwen3_5
Model Files	5.1 GB 1.8 GB 0.2 GB 0.2 GB 0.2 GB 0.2 GB 0.2 GB 0.2 GB 0.2 GB 0.2 GB 0.2 GB 0.2 GB 0.2 GB 0.2 GB 0.2 GB 0.2 GB 0.2 GB 0.2 GB 0.2 GB 0.2 GB 0.2 GB 0.2 GB 0.2 GB 0.2 GB 0.2 GB 0.2 GB 0.2 GB 0.2 GB 0.2 GB 0.2 GB 0.2 GB 0.2 GB 0.2 GB 0.2 GB 0.2 GB 0.2 GB 0.2 GB 0.2 GB 0.2 GB 0.2 GB 0.2 GB 0.2 GB 0.2 GB
GPTQ Quantization	Yes
Quantization Type	gptq
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Transformers Version	5.8.0.dev0

Rank the Qwen3.8 27B GPTQ Int4 Asym capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Best Alternatives to Qwen3.8 27B GPTQ Int4 Asym

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.6 27B GPTQ Pro 4bit	0K / 18.8 GB	415407	39
Qwen3.5 27B GPTQ Int4	0K / 30.1 GB	105381	57
Qwen3.8 27B GPTQ INT4 FP8KV	0K / 20.2 GB	6488	2
...en3.8 27B W4A16 AutoRound GPTQ	0K / 19.2 GB	3748	5
Qwen3.8 27B GPTQ 4bit	0K / 21 GB	2433	5
Qwen3.8 27B GPTQ Int4	0K / 20.2 GB	2267	3
Clef 27B GPTQ W4A16 G64	0K / 0.3 GB	33	2
...7B GPTQ Int4 Sym G128 MTP BF16	0K / 19.6 GB	175	3
Qwen3.8 27B GPTQ Int4	0K / 19.6 GB	881	1
... 27B Abliterated GPTQ Int4 MTP	0K / 19.6 GB	103	1

Note: green Score (e.g. "73.2") means that the model is better than darioooooo0o/Qwen3.8-27B-GPTQ-Int4-asym.