What are the hardware requirements for Qwen3 0.6B FP8?

Qwen3 0.6B FP8 requires approximately 0.8 GB of VRAM and supports a context window of 40K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3 0.6B FP8 and how large is it?

Qwen3 0.6B FP8 is developed by unsloth, a model with 0.6b 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 0.6B FP8?

Qwen3 0.6B FP8 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 0.6B FP8 by unsloth — VRAM 0.8GB, 40K context

Name: Qwen3 0.6B FP8
Author: unsloth

Qwen3 0.6B FP8 is an open-source language model by unsloth. Features: 0.6b LLM, VRAM: 0.8GB, Context: 40K, License: apache-2.0, LLM Explorer Score: 0.17.

Base model:quantized:qwen/qwen... Base model:qwen/qwen3-0.6b-fp8 Conversational Endpoints compatible Fp8 Qwen3 Region:us Safetensors Unsloth

Model Card on HF 🤗: https://huggingface.co/unsloth/Qwen3-0.6B-FP8

Qwen3 0.6B FP8 Parameters and Internals

LLM Name	Qwen3 0.6B FP8
Repository 🤗	https://huggingface.co/unsloth/Qwen3-0.6B-FP8
Base Model(s)	Qwen/Qwen3-0.6B-FP8 Qwen/Qwen3-0.6B-FP8
Model Size	0.6b
Required VRAM	0.8 GB
Updated	2026-08-10
Maintainer	unsloth
Model Type	qwen3
Model Files	0.8 GB
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	40960
Model Max Length	40960
Transformers Version	4.52.0.dev0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen3 0.6B FP8 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 0.6B FP8

Best Alternatives	Context / RAM	Downloads	Likes
S1 Mini	40K / 1.5 GB	1136	180
Qwen3 Reranker 0.6B	40K / 1.2 GB	2508313	377
RGOO Qwen3 0.6B	40K / GB	281	2
RGOO Qwen3 0.6B	40K / GB	334	1
Qwen3 0.6B Emoji Gif	40K / 1.2 GB	380	1
Creo Classify 0.6B	40K / 1.2 GB	327	1
Qwen3 0.6B Malevolent	40K / 1.2 GB	170	1
Qwen3 0.6B	40K / 1.5 GB	1364597	1
Qwen3 0.6B RSI Iter1	40K / 1.2 GB	289	2
Qwen3 0.6B PII Distillops	40K / 1.2 GB	174	1

Note: green Score (e.g. "73.2") means that the model is better than unsloth/Qwen3-0.6B-FP8.