What are the hardware requirements for Qwen3.5 2B FP8 Dynamic?

Qwen3.5 2B FP8 Dynamic requires approximately 3.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.5 2B FP8 Dynamic and how large is it?

Qwen3.5 2B FP8 Dynamic is developed by axteam, a model with 2b 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 2B FP8 Dynamic?

Qwen3.5 2B 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 2B FP8 Dynamic by axteam — VRAM 3.2GB

Name: Qwen3.5 2B FP8 Dynamic
Author: axteam

Qwen3.5 2B FP8 Dynamic is an open-source language model by axteam. Features: 2b LLM, VRAM: 3.2GB, License: apache-2.0, LLM Explorer Score: 0.3.

Base model:quantized:qwen/qwen... Base model:qwen/qwen3.5-2b Compressed-tensors Conversational Endpoints compatible Fp8 Image-text-to-text Multimodal Quantized Qwen Qwen3 5 Region:us Safetensors Sharded Tensorflow Vllm

Model Card on HF 🤗: https://huggingface.co/axteam/Qwen3.5-2B-FP8-dynamic

Qwen3.5 2B FP8 Dynamic Parameters and Internals

LLM Name	Qwen3.5 2B FP8 Dynamic
Repository 🤗	https://huggingface.co/axteam/Qwen3.5-2B-FP8-dynamic
Base Model(s)	Qwen/Qwen3.5-2B Qwen/Qwen3.5-2B
Model Size	2b
Required VRAM	3.2 GB
Updated	2026-11-03
Maintainer	axteam
Model Type	qwen3_5
Model Files	3.2 GB: 1-of-1
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	4.57.0.dev0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Qwen3.5 2B 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 2B FP8 Dynamic

Best Alternatives	Context / RAM	Downloads	Likes
MiniCPM OCR Jev	0K / 4.4 GB	1770	80
Qwen3.5 2B	0K / 4.5 GB	2633311	352
Index Translate 2B	0K / 4.5 GB	2089	65
Qwen3.5 2B Base	0K / 4.5 GB	809591	82
Qwen3.8 2B Distill Heretic V2	0K / 4.4 GB	836	2
WeMM Embedding 2B	0K / 5.4 GB	5433	68
...e Qwen3.5 2B Decision MLX Bf16	0K / 3.8 GB	2801	2
Qwen3.5 2B	0K / 4.5 GB	103487	18
Qwen3.8 2B Distill	0K / 4.5 GB	2056	24
Intern Decision 2B	0K / 0.1 GB	162	9

Note: green Score (e.g. "73.2") means that the model is better than axteam/Qwen3.5-2B-FP8-dynamic.