What are the hardware requirements for Llama2.c Stories42M?

Llama2.c Stories42M 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 Llama2.c Stories42M and how large is it?

Llama2.c Stories42M is developed by Xenova. 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 Llama2.c Stories42M?

Llama2.c Stories42M is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama2.c Stories42M by Xenova — VRAM 0.2GB, 1K context

Name: Llama2.c Stories42M
Author: Xenova

Llama2.c Stories42M is an open-source language model by Xenova. Features: LLM, VRAM: 0.2GB, Context: 1K, LLM Explorer Score: 0.08.

Endpoints compatible Llama Onnx Pytorch Region:us Transformers.js

Model Card on HF 🤗: https://huggingface.co/Xenova/llama2.c-stories42M

Llama2.c Stories42M Parameters and Internals

Model Type

text generation

Input Output

Input Format:

text

Accepted Modalities:

text

Output Format:

generated_text

LLM Name	Llama2.c Stories42M
Repository 🤗	https://huggingface.co/Xenova/llama2.c-stories42M
Required VRAM	0.2 GB
Updated	2026-08-06
Maintainer	Xenova
Model Type	llama
Model Files	0.2 GB
Model Architecture	LlamaForCausalLM
Context Length	1024
Model Max Length	1024
Transformers Version	4.33.2
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000

Rank the Llama2.c Stories42M 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

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Note: green Score (e.g. "73.2") means that the model is better than Xenova/llama2.c-stories42M.