What are the hardware requirements for Tinyqwen?

Tinyqwen requires approximately 1 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Tinyqwen and how large is it?

Tinyqwen is developed by PragmaticPete, a model with 494m 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 Tinyqwen?

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

Tinyqwen by PragmaticPete — VRAM 1GB, 128K context

Name: Tinyqwen
Author: PragmaticPete

Tinyqwen is an open-source language model by PragmaticPete. Features: 494m LLM, VRAM: 1GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.13.

Conversational En Endpoints compatible Pretrained Qwen2 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/PragmaticPete/tinyqwen

Tinyqwen Parameters and Internals

Model Type

text generation

LLM Name	Tinyqwen
Repository 🤗	https://huggingface.co/PragmaticPete/tinyqwen
Model Size	494m
Required VRAM	1 GB
Updated	2026-08-05
Maintainer	PragmaticPete
Model Type	qwen2
Model Files	1.0 GB
Supported Languages	en
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.40.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Tinyqwen 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 Tinyqwen

Best Alternatives	Context / RAM	Downloads
Qwen2 Sft Warmup	128K / 0 GB	6
Qwen2 0.5Bchp 690K	128K / 2 GB	5
Qwen2 0.5Bchp 570K	128K / 2 GB	13
Qwen2 0.5Bchp 15K	128K / 2 GB	10
Qwen2 0.5Bchp 300000	128K / 2 GB	8
Qwen2 0.5Bchp 20000	128K / 2 GB	12
Svig Tiny Step 3.7K	128K / 2 GB	16
...en2 Emotions Without Reasoning	128K / 2 GB	11
Luwa 01	32K / 2 GB	542
Augmented D8750210c165cd25	32K / 1 GB	171

Note: green Score (e.g. "73.2") means that the model is better than PragmaticPete/tinyqwen.