What are the hardware requirements for Qwen3 0.6B SFTchat Math?

Qwen3 0.6B SFTchat Math requires approximately 1.2 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 SFTchat Math and how large is it?

Qwen3 0.6B SFTchat Math is developed by minh9212, 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 SFTchat Math?

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

Qwen3 0.6B SFTchat Math by minh9212 — VRAM 1.2GB, 40K context

Name: Qwen3 0.6B SFTchat Math
Author: minh9212

Qwen3 0.6B SFTchat Math is an open-source language model by minh9212. Features: 0.6b LLM, VRAM: 1.2GB, Context: 40K, License: apache-2.0, Quantized, LLM Explorer Score: 0.24.

4bit Base model:finetune:unsloth/qw... Base model:unsloth/qwen3-0.6b-... Conversational En Endpoints compatible Quantized Qwen3 Region:us Safetensors Unsloth

Model Card on HF 🤗: https://huggingface.co/minh9212/qwen3-0.6b-SFTchat_math

Qwen3 0.6B SFTchat Math Parameters and Internals

LLM Name	Qwen3 0.6B SFTchat Math
Repository 🤗	https://huggingface.co/minh9212/qwen3-0.6b-SFTchat_math
Base Model(s)	unsloth/Qwen3-0.6B-unsloth-bnb-4bit unsloth/Qwen3-0.6B-unsloth-bnb-4bit
Model Size	0.6b
Required VRAM	1.2 GB
Updated	2026-08-07
Maintainer	minh9212
Model Type	qwen3
Model Files	1.2 GB
Supported Languages	en
Quantization Type	4bit
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	40960
Model Max Length	40960
Tokenizer Class	TokenizersBackend
Padding Token	<\|PAD_TOKEN\|>
Vocabulary Size	151936
Torch Data Type	float16
Errors	replace

Rank the Qwen3 0.6B SFTchat Math capabilities

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Instruction Following and Task Automation
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Best Alternatives to Qwen3 0.6B SFTchat Math

Best Alternatives	Context / RAM	Downloads	Likes
Agent 0.6B	125K / 1.2 GB	14	0
Fizik 0.6B Preview	40K / 1.2 GB	9	0
Qwen3 0.6B Unsloth Bnb 4bit	40K / 0.6 GB	146920	25
Qwentestnew1	40K / 1.2 GB	66	0
Qwen3 0.6B 4bit	40K / 0.3 GB	50315	14
Qwen3 0.6B 8bit	40K / 0.6 GB	41318	7
Meet7 0.6B	40K / 1.2 GB	10	1
...d Qwen3 0.6B Gabliterated 4bit	40K / 0.3 GB	24	1
Qwen3 0.6B Gabliterated 4bit	40K / 0.3 GB	6	1
Qwen3 0.6B Bnb 4bit	40K / 0.5 GB	5786	4

Note: green Score (e.g. "73.2") means that the model is better than minh9212/qwen3-0.6b-SFTchat_math.