What are the hardware requirements for Qwen3 4B Instruct 2507 SFT Math?

Qwen3 4B Instruct 2507 SFT Math requires approximately 8.1 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3 4B Instruct 2507 SFT Math and how large is it?

Qwen3 4B Instruct 2507 SFT Math is developed by MLLM-CL, a model with 4b 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 4B Instruct 2507 SFT Math?

Qwen3 4B Instruct 2507 SFT Math is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 4B Instruct 2507 SFT Math by MLLM-CL — VRAM 8.1GB, 256K context

Name: Qwen3 4B Instruct 2507 SFT Math
Author: MLLM-CL

Qwen3 4B Instruct 2507 SFT Math is an open-source language model by MLLM-CL. Features: 4b LLM, VRAM: 8.1GB, Context: 256K, License: other, Instruction-Based, LLM Explorer Score: 0.24.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-4b-instr... Conversational Endpoints compatible Full Generated from trainer Instruct Llama-factory Qwen3 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/MLLM-CL/Qwen3-4B-Instruct-2507-SFT-Math

Qwen3 4B Instruct 2507 SFT Math Parameters and Internals

LLM Name	Qwen3 4B Instruct 2507 SFT Math
Repository 🤗	https://huggingface.co/MLLM-CL/Qwen3-4B-Instruct-2507-SFT-Math
Base Model(s)	Qwen3 4B Instruct 2507 Qwen/Qwen3-4B-Instruct-2507
Model Size	4b
Required VRAM	8.1 GB
Updated	2026-07-21
Maintainer	MLLM-CL
Model Type	qwen3
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 3.1 GB: 2-of-2 0.0 GB
Model Architecture	Qwen3ForCausalLM
License	other
Context Length	262144
Model Max Length	262144
Transformers Version	4.57.6
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Rank the Qwen3 4B Instruct 2507 SFT Math capabilities

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Best Alternatives to Qwen3 4B Instruct 2507 SFT Math

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3 4B Instruct 2507	256K / 8.1 GB	3109972	911
FastContext 1.0 4B SFT	256K / 8.1 GB	5735	357
Mgi Assistant V1 Qwen3 4B	256K / 8.1 GB	669	1
FastContext 1.0 4B RL	256K / 8.1 GB	4559	61
Qwen3 4B Instruct 2507 FP8	256K / 5.2 GB	1100744	78
Fable Traces	256K / 8.1 GB	179	210
... Matched Dense Seed11 Step 008	256K / 8.1 GB	161	1
Jamjuri EDGE Preview 100	256K / 8 GB	451	1
Voho Saudi Chat 4B	256K / 8 GB	468	1
... History Tutor 4B Experimental	256K / 8 GB	263	1

Note: green Score (e.g. "73.2") means that the model is better than MLLM-CL/Qwen3-4B-Instruct-2507-SFT-Math.