What are the hardware requirements for Math Slm Qwen2.5 0.5B V4?

Math Slm Qwen2.5 0.5B V4 requires approximately 0.5 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 Math Slm Qwen2.5 0.5B V4 and how large is it?

Math Slm Qwen2.5 0.5B V4 is developed by singhmandavi, 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 Math Slm Qwen2.5 0.5B V4?

Math Slm Qwen2.5 0.5B V4 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Math Slm Qwen2.5 0.5B V4 by singhmandavi — VRAM 0.5GB, 32K context

Name: Math Slm Qwen2.5 0.5B V4
Author: singhmandavi

Math Slm Qwen2.5 0.5B V4 is an open-source language model by singhmandavi. Features: 0.5b LLM, VRAM: 0.5GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.33.

Base model:quantized:qwen/qwen... Base model:qwen/qwen2.5-0.5b-i... Conversational Education En Endpoints compatible Gate Gguf Instruct Lora Math Q8 Quantized Qwen Qwen2 Region:us Safetensors Slm

Model Card on HF 🤗: https://huggingface.co/singhmandavi/math-slm-qwen2.5-0.5b-v4

Math Slm Qwen2.5 0.5B V4 Parameters and Internals

LLM Name	Math Slm Qwen2.5 0.5B V4
Repository 🤗	https://huggingface.co/singhmandavi/math-slm-qwen2.5-0.5b-v4
Base Model(s)	Qwen/Qwen2.5-0.5B-Instruct Qwen/Qwen2.5-0.5B-Instruct
Model Size	0.5b
Required VRAM	0.5 GB
Updated	2026-09-21
Maintainer	singhmandavi
Model Type	qwen2
Instruction-Based	Yes
Model Files	0.5 GB 1.0 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	q8\|gguf
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	5.17.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
LoRA Model	Yes
Errors	replace

Rank the Math Slm Qwen2.5 0.5B V4 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 Math Slm Qwen2.5 0.5B V4

Best Alternatives	Context / RAM	Downloads	Likes
Quill 1 Preview	32K / 0.4 GB	331	1
Apex Code Roblox Luau 0.5B	32K / 0.4 GB	721	1
Kitty Bash Llm	32K / 0.4 GB	351	1
Soulbox Cbt Therapy 0.5B	32K / 0.4 GB	81	0
Flowscribe Qwen2.5 0.5B V2	32K / 0.4 GB	48	0
Qwen2.5 Coder 0.5B Merged	32K / 1.3 GB	29	0
QuadConnect2.5 0.5B V0.0.9B	32K / 0.5 GB	47	0
Qwen2 0.5B Instruct GGUF	32K / 0.3 GB	212	0
Qwen2 0.5B Instruct GGUF	32K / 0.3 GB	106	1
QWev2	32K / 1 GB	230	0