What are the hardware requirements for Qwen2.5 3B Toolgen?

Qwen2.5 3B Toolgen requires approximately 6.2 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 Qwen2.5 3B Toolgen and how large is it?

Qwen2.5 3B Toolgen is developed by joannetai520, a model with 3b 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 3B Toolgen?

Qwen2.5 3B Toolgen is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2.5 3B Toolgen by joannetai520 — VRAM 6.2GB, 32K context

Name: Qwen2.5 3B Toolgen
Author: joannetai520

Qwen2.5 3B Toolgen is an open-source language model by joannetai520. Features: 3b LLM, VRAM: 6.2GB, Context: 32K, LLM Explorer Score: 0.3.

Arxiv:1910.09700 Conversational Endpoints compatible Qwen2 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/joannetai520/qwen2.5-3b-toolgen

Qwen2.5 3B Toolgen Parameters and Internals

LLM Name	Qwen2.5 3B Toolgen
Repository 🤗	https://huggingface.co/joannetai520/qwen2.5-3b-toolgen
Model Size	3b
Required VRAM	6.2 GB
Updated	2026-08-21
Maintainer	joannetai520
Model Type	qwen2
Model Files	6.2 GB
Model Architecture	Qwen2ForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	5.15.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151672
Errors	replace

Rank the Qwen2.5 3B Toolgen 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

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...ware Howto Formattedtext Merge	128K / 15.1 GB	5	0

Note: green Score (e.g. "73.2") means that the model is better than joannetai520/qwen2.5-3b-toolgen.