What are the hardware requirements for Tiny Dummy Qwen2?

Tiny Dummy Qwen2 requires a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Tiny Dummy Qwen2 and how large is it?

Tiny Dummy Qwen2 is developed by fxmarty, a model with 1.2m 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 Tiny Dummy Qwen2?

Tiny Dummy Qwen2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Tiny Dummy Qwen2 by fxmarty — 32K context

Name: Tiny Dummy Qwen2
Author: fxmarty

Tiny Dummy Qwen2 is an open-source language model by fxmarty. Features: 1.2m LLM, Context: 32K, License: mit, LLM Explorer Score: 0.14.

Conversational Deploy:azure Endpoints compatible Qwen2 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/fxmarty/tiny-dummy-qwen2

Tiny Dummy Qwen2 Parameters and Internals

LLM Name	Tiny Dummy Qwen2
Repository 🤗	https://huggingface.co/fxmarty/tiny-dummy-qwen2
Model Size	1.2m
Required VRAM	0 GB
Updated	2026-08-05
Maintainer	fxmarty
Model Type	qwen2
Model Files	0.0 GB
Model Architecture	Qwen2ForCausalLM
License	mit
Context Length	32768
Model Max Length	32768
Transformers Version	4.39.0.dev0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	float32
Errors	replace

Rank the Tiny Dummy Qwen2 capabilities

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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 Tiny Dummy Qwen2

Best Alternatives	Context / RAM	Downloads	Likes
Tiny Dummy Qwen2	32K / 0 GB	138986	0
MiniPLM Qwen 1.2B	32K / 4.6 GB	67	4

Note: green Score (e.g. "73.2") means that the model is better than fxmarty/tiny-dummy-qwen2.