What are the hardware requirements for Tinyllama 42M Fp32?

Tinyllama 42M Fp32 requires approximately 0.2 GB of VRAM and supports a context window of 1K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Tinyllama 42M Fp32 and how large is it?

Tinyllama 42M Fp32 is developed by nickypro, a model with 42m 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 Tinyllama 42M Fp32?

Tinyllama 42M Fp32 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Tinyllama 42M Fp32 by nickypro — VRAM 0.2GB, 1K context

Name: Tinyllama 42M Fp32
Author: nickypro

Tinyllama 42M Fp32 is an open-source language model by nickypro. Features: 42m LLM, VRAM: 0.2GB, Context: 1K, License: mit, LLM Explorer Score: 0.09.

Deploy:azure Endpoints compatible Llama Pytorch Region:us

Model Card on HF 🤗: https://huggingface.co/nickypro/tinyllama-42M-fp32

Tinyllama 42M Fp32 Parameters and Internals

Model Type

text generation

Additional Notes

Trained on the TinyStories dataset.

LLM Name	Tinyllama 42M Fp32
Repository 🤗	https://huggingface.co/nickypro/tinyllama-42M-fp32
Model Size	42m
Required VRAM	0.2 GB
Updated	2026-07-15
Maintainer	nickypro
Model Type	llama
Model Files	0.2 GB
Model Architecture	LlamaForCausalLM
License	mit
Context Length	1024
Model Max Length	1024
Transformers Version	4.33.1
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32000

Rank the Tinyllama 42M Fp32 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 Tinyllama 42M Fp32

Best Alternatives	Context / RAM	Downloads	Likes
Llama3 42B V0	8K / 86.8 GB	12	117
Llama 42M	1K / 0.1 GB	9	0
Tinyllama 42M	1K / 0.1 GB	25	1
...dard Llama3 42B V0.4.0bpw EXL2	8K / 23.4 GB	4	4

Note: green Score (e.g. "73.2") means that the model is better than nickypro/tinyllama-42M-fp32.