What are the hardware requirements for Qwen3.8 27B W4A16 AWQ?

Qwen3.8 27B W4A16 AWQ requires approximately 0.8 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.8 27B W4A16 AWQ and how large is it?

Qwen3.8 27B W4A16 AWQ is developed by philbert440, 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 W4A16 AWQ?

Qwen3.8 27B W4A16 AWQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.8 27B W4A16 AWQ by philbert440 — VRAM 0.8GB

Name: Qwen3.8 27B W4A16 AWQ
Author: philbert440

Qwen3.8 27B W4A16 AWQ is an open-source language model by philbert440. Features: 27b LLM, VRAM: 0.8GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.39.

Awq Base model:quantized:qwen/qwen... Base model:qwen/qwen3.8-27b Compressed-tensors Conversational Endpoints compatible Image-text-to-text Int4 Mtp Quantized Qwen3.8 Qwen3 5 Region:us Safetensors Thinking V100 Vision W4a16

Model Card on HF 🤗: https://huggingface.co/philbert440/Qwen3.8-27B-W4A16-AWQ

Qwen3.8 27B W4A16 AWQ Parameters and Internals

LLM Name	Qwen3.8 27B W4A16 AWQ
Repository 🤗	https://huggingface.co/philbert440/Qwen3.8-27B-W4A16-AWQ
Base Model(s)	Qwen/Qwen3.8-27B Qwen/Qwen3.8-27B
Model Size	27b
Required VRAM	0.8 GB
Updated	2026-08-15
Maintainer	philbert440
Model Type	qwen3_5
Model Files	0.8 GB 18.7 GB
AWQ Quantization	Yes
Quantization Type	awq
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	5.10.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Qwen3.8 27B W4A16 AWQ 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 W4A16 AWQ

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.6 27B AWQ INT4	0K / 20.4 GB	2563390	103
Qwen3.6 27B AWQ	0K / 22 GB	668924	24
Qwen3.6 27B AWQ BF16 INT4	0K / 28.3 GB	419171	41
Qwen3.6 27B AWQ 4bit	0K / 18.7 GB	66556	3
...wen3.6 27B Abliterated AWQ MTP	0K / 18.4 GB	244978	12
Qwen3.5 27B AWQ 4bit	0K / 20 GB	279064	42
Blossom V6.4 27B 9bit AWQ	0K / 31.2 GB	153	1
Qwen3.6 27B OptiQ 4bit	256K / 18.7 GB	13065	59
Bonsai 27B Mlx 1bit	0K / 5.1 GB	809309	205
Qwen3.8 27B 4bit	0K / 16 GB	6055	27

Note: green Score (e.g. "73.2") means that the model is better than philbert440/Qwen3.8-27B-W4A16-AWQ.