What are the hardware requirements for Qwen25 0.5B Finemath 4plus?

Qwen25 0.5B Finemath 4plus requires approximately 2.5 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 Qwen25 0.5B Finemath 4plus and how large is it?

Qwen25 0.5B Finemath 4plus is developed by mssfj, a model with 0.5b 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 Qwen25 0.5B Finemath 4plus?

Qwen25 0.5B Finemath 4plus is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen25 0.5B Finemath 4plus by mssfj — VRAM 2.5GB, 32K context

Name: Qwen25 0.5B Finemath 4plus
Author: mssfj

Qwen25 0.5B Finemath 4plus is an open-source language model by mssfj. Features: 0.5b LLM, VRAM: 2.5GB, Context: 32K, LLM Explorer Score: 0.25.

Base model:finetune:mssfj/qwen... Base model:mssfj/qwen25-0.5b-f... Conversational Dataset:huggingfacefw/fineweb-... Dataset:huggingfacetb/finemath Endpoints compatible Litgpt Qwen2 Region:us Research Safetensors Tdt

Model Card on HF 🤗: https://huggingface.co/mssfj/qwen25-0.5b-finemath-4plus

Qwen25 0.5B Finemath 4plus Parameters and Internals

LLM Name	Qwen25 0.5B Finemath 4plus
Repository 🤗	https://huggingface.co/mssfj/qwen25-0.5b-finemath-4plus
Base Model(s)	mssfj/qwen25-0.5b-fineweb-edu-10bt mssfj/qwen25-0.5b-fineweb-edu-10bt
Model Size	0.5b
Required VRAM	2.5 GB
Updated	2026-10-09
Maintainer	mssfj
Model Type	qwen2
Model Files	2.5 GB
Model Architecture	Qwen2ForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.56.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Rank the Qwen25 0.5B Finemath 4plus capabilities

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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 Qwen25 0.5B Finemath 4plus

Best Alternatives	Context / RAM	Downloads	Likes
Reader Lm 0.5B	250K / 1 GB	188	150
Qwen2 0.5B	128K / 1 GB	1216780	169
Qwen2 0.5B Finetune Exp 1	128K / 1 GB	15	0
...0.5B FT EnhancedMUSREnsembleV3	128K / 1 GB	32	1
....5B FT V4 MUSR ENSEMBLE Mathis	128K / 2 GB	30	1
...0.5B FT MUSR ENSEMBLE V2Mathis	128K / 1 GB	25	0
...PRYMMAL 0.5B FT V4 MUSR Mathis	128K / 1 GB	62	1
Qwen2 0.5B Stf Imdb	128K / 1 GB	7	0
ECE PRYMMAL 0.5B FT V3 MUSR	128K / 2 GB	17	0
ECE PRYMMAL 0.5B FT V4 MUSR	128K / 2 GB	10	0

Note: green Score (e.g. "73.2") means that the model is better than mssfj/qwen25-0.5b-finemath-4plus.