What are the hardware requirements for Qwen3.5 9B FP8 Dynamic?

Qwen3.5 9B FP8 Dynamic requires approximately 0.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.5 9B FP8 Dynamic and how large is it?

Qwen3.5 9B FP8 Dynamic is developed by RedHatAI, a model with 9b 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 Qwen3.5 9B FP8 Dynamic?

Qwen3.5 9B FP8 Dynamic is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.5 9B FP8 Dynamic by RedHatAI — VRAM 0.5GB

Name: Qwen3.5 9B FP8 Dynamic
Author: RedHatAI

Qwen3.5 9B FP8 Dynamic is an open-source language model by RedHatAI. Features: 9b LLM, VRAM: 0.5GB, License: apache-2.0, LLM Explorer Score: 0.35.

Base model:quantized:qwen/qwen... Base model:qwen/qwen3.5-9b Compressed-tensors Conversational Endpoints compatible Fp8 Image-text-to-text Llm-compressor Qwen3 5 Region:us Safetensors Vllm

Model Card on HF 🤗: https://huggingface.co/RedHatAI/Qwen3.5-9B-FP8-dynamic

Qwen3.5 9B FP8 Dynamic Parameters and Internals

LLM Name	Qwen3.5 9B FP8 Dynamic
Repository 🤗	https://huggingface.co/RedHatAI/Qwen3.5-9B-FP8-dynamic
Base Model(s)	Qwen/Qwen3.5-9B Qwen/Qwen3.5-9B
Model Size	9b
Required VRAM	0.5 GB
Updated	2026-08-24
Maintainer	RedHatAI
Model Type	qwen3_5
Model Files	13.5 GB 0.5 GB
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	5.3.0
Tokenizer Class	TokenizersBackend
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Qwen3.5 9B FP8 Dynamic 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 Qwen3.5 9B FP8 Dynamic

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.8 Distilled 9B NPU2	256K / GB	3148	3
Qwen3.5 9B	0K / 19.3 GB	12207758	1799
Ornith 1.0 9B	0K / 18.8 GB	1464339	541
Qwable 9B Claude Fable 5	0K / 18.8 GB	1088	115
Qwythos 9B Claude Mythos 5 1M	0K / 18.8 GB	37427	906
WeMM Embedding 9B	0K / 18.8 GB	2618	105
Qwen3.8 9B Distill	0K / 19.3 GB	5839	148
OxCoder 9B	0K / 18.8 GB	357	28
Negentropy Claude Opus 4.7 9B	0K / 18.8 GB	63	26
Ornith 1.5 9B	0K / 18.9 GB	1324	120

Note: green Score (e.g. "73.2") means that the model is better than RedHatAI/Qwen3.5-9B-FP8-dynamic.