What are the hardware requirements for TinyToolRouter 0.6B?

TinyToolRouter 0.6B requires approximately 1.2 GB of VRAM and supports a context window of 40K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed TinyToolRouter 0.6B and how large is it?

TinyToolRouter 0.6B is developed by Robokid1134, a model with 0.6b 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 TinyToolRouter 0.6B?

TinyToolRouter 0.6B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

TinyToolRouter 0.6B by Robokid1134 — VRAM 1.2GB, 40K context

Name: TinyToolRouter 0.6B
Author: Robokid1134

TinyToolRouter 0.6B is an open-source language model by Robokid1134. Features: 0.6b LLM, VRAM: 1.2GB, Context: 40K, License: apache-2.0, Quantized, LLM Explorer Score: 0.34.

Agent Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-0.6b Conversational Cpu En Endpoints compatible Function-calling Gguf Json Lora Quantized Qwen3 Region:us Router Safetensors Structured-output Tool-calling Tool-use

Model Card on HF 🤗: https://huggingface.co/Robokid1134/TinyToolRouter-0.6B

TinyToolRouter 0.6B Parameters and Internals

LLM Name	TinyToolRouter 0.6B
Repository 🤗	https://huggingface.co/Robokid1134/TinyToolRouter-0.6B
Base Model(s)	Qwen/Qwen3-0.6B Qwen/Qwen3-0.6B
Model Size	0.6b
Required VRAM	1.2 GB
Updated	2026-10-28
Maintainer	Robokid1134
Model Type	qwen3
Model Files	1.2 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	40960
Model Max Length	40960
Transformers Version	4.57.6
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

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Instruction Following and Task Automation
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Data Analysis and Insight Generation
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Multi-Language Support and Translation

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