What are the hardware requirements for Llama 42M?

Llama 42M requires approximately 0.1 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 Llama 42M and how large is it?

Llama 42M is developed by TinyPixel, 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 Llama 42M?

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

Llama 42M by TinyPixel — VRAM 0.1GB, 1K context

Name: Llama 42M
Author: TinyPixel

Llama 42M is an open-source language model by TinyPixel. Features: 42m LLM, VRAM: 0.1GB, Context: 1K, LLM Explorer Score: 0.1.

Endpoints compatible Llama Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/TinyPixel/llama-42m

Llama 42M Parameters and Internals

LLM Name	Llama 42M
Repository 🤗	https://huggingface.co/TinyPixel/llama-42m
Model Size	42m
Required VRAM	0.1 GB
Updated	2026-08-03
Maintainer	TinyPixel
Model Type	llama
Model Files	0.1 GB
Model Architecture	LlamaForCausalLM
Context Length	1024
Model Max Length	1024
Transformers Version	4.35.2
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	float16

Rank the Llama 42M 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 Llama 42M

Best Alternatives	Context / RAM	Downloads	Likes
Llama3 42B V0	8K / 86.8 GB	12	117
Tinyllama 42M	1K / 0.1 GB	25	1
Tinyllama 42M Fp32	1K / 0.2 GB	6	3
...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 TinyPixel/llama-42m.