What are the hardware requirements for Qwen3 0.6B Instruction Finetuned?

Qwen3 0.6B Instruction Finetuned requires approximately 1.2 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3 0.6B Instruction Finetuned and how large is it?

Qwen3 0.6B Instruction Finetuned is developed by andresnowak, 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 Instruction Finetuned?

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

Qwen3 0.6B Instruction Finetuned by andresnowak — VRAM 1.2GB, 32K context

Name: Qwen3 0.6B Instruction Finetuned
Author: andresnowak

Qwen3 0.6B Instruction Finetuned is an open-source language model by andresnowak. Features: 0.6b LLM, VRAM: 1.2GB, Context: 32K, Fine-Tuned, Instruction-Based, LLM Explorer Score: 0.18.

Base model:finetune:unsloth/qw... Base model:unsloth/qwen3-0.6b-... Dataset:andresnowak/instructio... En Endpoints compatible Finetuned Generated from trainer Instruct Qwen3 Region:us Safetensors Sft Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/andresnowak/Qwen3-0.6B-instruction-finetuned

Qwen3 0.6B Instruction Finetuned Parameters and Internals

LLM Name	Qwen3 0.6B Instruction Finetuned
Repository 🤗	https://huggingface.co/andresnowak/Qwen3-0.6B-instruction-finetuned
Model Name	Qwen3-0.6B-instruction-finetuned
Base Model(s)	unsloth/Qwen3-0.6B-Base unsloth/Qwen3-0.6B-Base
Model Size	0.6b
Required VRAM	1.2 GB
Updated	2026-07-20
Maintainer	andresnowak
Model Type	qwen3
Instruction-Based	Yes
Model Files	1.2 GB 0.0 GB
Supported Languages	en
Model Architecture	Qwen3ForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.51.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen3 0.6B Instruction Finetuned 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 Instruction Finetuned

Best Alternatives	Context / RAM	Downloads	Likes
Quipu 0.6B	40K / 1.2 GB	351	4
Supertron2.1 0.6B	40K / 0.8 GB	0	2
Qwen3 0.6B Instruct	40K / 1.5 GB	29	0
Luth 0.6B Instruct	40K / 1.2 GB	324	9
Qwen 0.6B Instruct	32K / 1.2 GB	281	0
Math Instruct V1	32K / 1.2 GB	49	3
... 0.6B Instruction Finetuned V2	32K / 1.2 GB	17	0

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