What are the hardware requirements for Qwen3.8 27B W3A16 GPTQ?

Qwen3.8 27B W3A16 GPTQ requires approximately 24.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.8 27B W3A16 GPTQ and how large is it?

Qwen3.8 27B W3A16 GPTQ is developed by jaehyeono, 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 W3A16 GPTQ?

Qwen3.8 27B W3A16 GPTQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.8 27B W3A16 GPTQ by jaehyeono — VRAM 24.5GB

Name: Qwen3.8 27B W3A16 GPTQ
Author: jaehyeono

Qwen3.8 27B W3A16 GPTQ is an open-source language model by jaehyeono. Features: 27b LLM, VRAM: 24.5GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.3.

Base model:quantized:qwen/qwen... Base model:qwen/qwen3.8-27b Compressed-tensors Conversational Endpoints compatible Gptq Image-text-to-text Int3 Quantized Qwen3 5 Region:us Safetensors Sharded Tensorflow Vision Vision-language W3a16

Model Card on HF 🤗: https://huggingface.co/jaehyeono/Qwen3.8-27B-W3A16-GPTQ

Qwen3.8 27B W3A16 GPTQ Parameters and Internals

LLM Name	Qwen3.8 27B W3A16 GPTQ
Repository 🤗	https://huggingface.co/jaehyeono/Qwen3.8-27B-W3A16-GPTQ
Base Model(s)	Qwen/Qwen3.8-27B Qwen/Qwen3.8-27B
Model Size	27b
Required VRAM	24.5 GB
Updated	2026-09-05
Maintainer	jaehyeono
Model Type	qwen3_5
Model Files	20.0 GB: 1-of-2 4.5 GB: 2-of-2
GPTQ Quantization	Yes
Quantization Type	gptq
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	5.14.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Qwen3.8 27B W3A16 GPTQ 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 W3A16 GPTQ

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.6 27B GPTQ Pro 4bit	0K / 18.8 GB	415407	39
Qwen3.8 27B GPTQ INT4 FP8KV	0K / 20.2 GB	6488	2
...en3.8 27B W4A16 AutoRound GPTQ	0K / 19.2 GB	3748	5
Qwen3.5 27B GPTQ Int4	0K / 30.1 GB	105381	57
Qwen3.8 27B GPTQ 4bit	0K / 21 GB	2433	5
Qwen3.8 27B GPTQ Int4	0K / 20.2 GB	2267	3
Qwen3.8 27B GPTQ INT4 G32	0K / 21 GB	2119	3
Qwen3.8 27B GPTQ INT4 G128	0K / 19.6 GB	898	3
...PTQ Int4 Sym G128 MTP BF16 B70	0K / 19.6 GB	178	1
Qwen3.8 27B GPTQ Int4	0K / 19.6 GB	881	1

Note: green Score (e.g. "73.2") means that the model is better than jaehyeono/Qwen3.8-27B-W3A16-GPTQ.