What are the hardware requirements for Qwen3 0.6B FP8?

Qwen3 0.6B FP8 requires approximately 1.1 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 Qwen, 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 Qwen — VRAM 1.1GB, 40K context

Name: Qwen3 0.6B FP8
Author: Qwen

Qwen3 0.6B FP8 is an open-source language model by Qwen. Features: 0.6b LLM, VRAM: 1.1GB, Context: 40K, License: apache-2.0, LLM Explorer Score: 0.31.

Arxiv:2505.09388 Base model:quantized:qwen/qwen... Base model:qwen/qwen3-0.6b Conversational Endpoints compatible Fp8 Qwen3 Region:us Safetensors

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

Qwen3 0.6B FP8 Benchmarks

LLME Score: 0.30765

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

🌟 Advertise your project 🚀

Qwen3 0.6B FP8 Parameters and Internals

LLM Name	Qwen3 0.6B FP8
Repository 🤗	https://huggingface.co/Qwen/Qwen3-0.6B-FP8
Base Model(s)	Qwen/Qwen3-0.6B Qwen/Qwen3-0.6B
Model Size	0.6b
Required VRAM	1.1 GB
Updated	2026-04-14
Maintainer	Qwen
Model Type	qwen3
Model Files	1.1 GB
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	40960
Model Max Length	40960
Transformers Version	4.51.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Best Alternatives to Qwen3 0.6B FP8

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3 Reranker 0.6B	40K / 1.2 GB	1577919	346
GLM 5.1 Qwen3 0.6B CoNDeNse	40K / 1.5 GB	445	2
Qwen3 0.6B	40K / 1.2 GB	259542	20
Meet7.5 0.6b Writer Exp	40K / 1.2 GB	410	0
RexReranker 0.6B	40K / 1.2 GB	3653	10
Palindrome Sft Qwen3	40K / 2.4 GB	141	0
Foggen	40K / 1.2 GB	7	2
Evolai Qwen047 V0	40K / 1.5 GB	35	0
Palindrome Sft V2 Qwen3	40K / 2.4 GB	81	0
Meet7.1 0.6B	40K / 1.2 GB	131	0

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

Rank the Qwen3 0.6B FP8 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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

What open-source LLMs or SLMs are you in search of? 53999 in total.

Email us: info@extractum.io. Our Privacy Policy | Terms and Conditions | Suggest an improvement.

Our Social Media →

Original data from HuggingFace, OpenCompass and various public git repos.

Check out Ag3ntum — our secure, self-hosted AI agent for server management.

Release v20260328a

Support LLM Explorer

Qwen3 0.6B FP8 by Qwen

» All LLMs » Qwen » Qwen3 0.6B FP8 URL Share it on

Qwen3 0.6B FP8 Benchmarks

Qwen3 0.6B FP8 Parameters and Internals

Best Alternatives to Qwen3 0.6B FP8

Rank the Qwen3 0.6B FP8 Capabilities

What open-source LLMs or SLMs are you in search of? 53999 in total.