Qwen3.8-27B-FP8 Overview

This model's data has not been fully verified and benchmarks may be missing.

Qwen3.8-27B-FP8 is a multimodal-general AI model created by Qwen, featuring 27.8B parameters and a context window of 128K tokens.

Model Lineage & Specification

qwen38-27b-fp8 is Qwen's primary release in the current family.

DeveloperQwen

API Identifierqwen38-27b-fp8

Parameters27.8B

Context Window128K tokens

LicenseApache-2.0

Comparable models

Feature	Qwen3.8-27B-FP8	Muse-Glimmer-30B-GGUF	Minimax-H3-nvfp4-INT4-INT8-Convrot	BigBang-v1
Description	Qwen3.8-27B-FP8 is a 27.8B-parameter image text to text model developed by Qwen....	Muse-Glimmer-30B-GGUF is a undisclosed-parameter image text to text model develo...	Minimax-H3-nvfp4-INT4-INT8-Convrot is a undisclosed-parameter image text to vide...	SGLang is a high-performance serving framework for large language models and mul...
API Identifier	`qwen38-27b-fp8`	`muse-glimmer-30b-gguf`	`minimax-h3-nvfp4-int4-int8-convrot`	`bigbang-v1`
Parameters	27.8B	29.6B	—	36.0B
Context Window	128K tokens	131,072+	128K tokens	128K tokens
License / Type	open weights	open weights	open weights	open weights

Qwen3.8-27B-FP8

Qwen3.8-27B-FP8 is a 27.8B-parameter image text to text model developed by Qwen....

API IDqwen38-27b-fp8

Typeopen weights

Parameters27.8B

Context128K tokens

Muse-Glimmer-30B-GGUF

Muse-Glimmer-30B-GGUF is a undisclosed-parameter image text to text model develo...

API IDmuse-glimmer-30b-gguf

Typeopen weights

Parameters29.6B

Context131,072+

Minimax-H3-nvfp4-INT4-INT8-Convrot

Minimax-H3-nvfp4-INT4-INT8-Convrot is a undisclosed-parameter image text to vide...

API IDminimax-h3-nvfp4-int4-int8-convrot

Typeopen weights

Parameters—

Context128K tokens

BigBang-v1

SGLang is a high-performance serving framework for large language models and mul...

API IDbigbang-v1

Typeopen weights

Parameters36.0B

Context128K tokens

Qwen3.8-27B-FP8 is a 27.8B-parameter image text to text model developed by Qwen. Built on the Qwen3_5ForConditionalGeneration architecture using transformers. Released on 2026-08-13 with 291 likes and 0 downloads on Hugging Face. Powered by 27.8B parameters, Qwen3.8-27B-FP8 delivers specialized capabilities across multimodal general with a native context window of 128K tokens. Built by Qwen, the architecture prioritizes low-latency throughput, dependable reasoning fidelity, and flexible deployment across enterprise APIs and local hardware environments.

Qwen3.8-27B-FP8

Model Overview

Qwen3.8-27B-FP8 is a 27.8B-parameter image text to text model developed by Qwen. Built on the Qwen3_5ForConditionalGeneration architecture. Released on 2026-08-13.

📊 Quick Specs

Specification	Value
Parameters	27.8B
Architecture	Qwen3_5ForConditionalGeneration
Task	image text to text
Modality	text, image
License	APACHE-2.0
Framework	transformers
MoE	No
Languages	—

✨ Key Features

27.8B parameters
Built on Qwen3_5ForConditionalGeneration architecture (transformers)
Primary task: image text to text (text, image modality)
Open-weights under APACHE-2.0 license — self-hostable and fine-tunable

📈 Community Adoption

291 likes on Hugging Face
0 downloads on Hugging Face

🔗 Resources

Hugging Face Hub: Qwen3.8-27B-FP8 on Hugging Face

📜 License & Access

APACHE-2.0 — Open-weights model available for download, fine-tuning, and self-hosted deployment.