What are the hardware requirements for Qwen2.5 Math 1.5B French?

Qwen2.5 Math 1.5B French requires approximately 3.1 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen2.5 Math 1.5B French and how large is it?

Qwen2.5 Math 1.5B French is developed by GAMINGZI, a model with 1.5b 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 Qwen2.5 Math 1.5B French?

Qwen2.5 Math 1.5B French is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2.5 Math 1.5B French by GAMINGZI — VRAM 3.1GB, 4K context

Name: Qwen2.5 Math 1.5B French
Author: GAMINGZI

Qwen2.5 Math 1.5B French is an open-source language model by GAMINGZI. Features: 1.5b LLM, VRAM: 3.1GB, Context: 4K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.37.

Base model:adapter:qwen/qwen2.... Base model:qwen/qwen2.5-math-1... Conversational Dataset:openai/gsm8k En Endpoints compatible Fr French Instruct Lora Math Qwen2 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/GAMINGZI/qwen2.5-math-1.5b-french

Qwen2.5 Math 1.5B French Parameters and Internals

LLM Name	Qwen2.5 Math 1.5B French
Repository 🤗	https://huggingface.co/GAMINGZI/qwen2.5-math-1.5b-french
Base Model(s)	Qwen/Qwen2.5-Math-1.5B-Instruct Qwen/Qwen2.5-Math-1.5B-Instruct
Model Size	1.5b
Required VRAM	3.1 GB
Updated	2026-11-11
Maintainer	GAMINGZI
Model Type	qwen2
Instruction-Based	Yes
Model Files	3.1 GB
Supported Languages	fr en
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	4096
Model Max Length	4096
Transformers Version	5.22.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

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