What are the hardware requirements for Llama 160M?

Llama 160M requires a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama 160M and how large is it?

Llama 160M is developed by JackFram, a model with 160m parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Llama 160M perform on standard benchmarks?

Llama 160M has the following published scores: MMLU 24.26. Compare against reference models on this page or on the LLM Explorer leaderboards.

Llama 160M by JackFram — 2K context

Name: Llama 160M
Author: JackFram

Llama 160M is an open-source language model by JackFram. Features: 160m LLM, Context: 2K, License: apache-2.0, LLM Explorer Score: 0.2, Arc: 24.8, HellaSwag: 35.2, MMLU: 24.3, GSM8K: 0.1.

Arxiv:2305.09781 Dataset:wikipedia En Endpoints compatible Llama Pytorch Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/JackFram/llama-160m

Llama 160M Parameters and Internals

Model Type

text-generation

Additional Notes

The model has not been evaluated yet, so use it with care.

Supported Languages

en (unknown)

Training Details

Data Sources:

Wikipedia, C4-en, C4-realnewslike

LLM Name	Llama 160M
Repository 🤗	https://huggingface.co/JackFram/llama-160m
Model Size	160m
Required VRAM	0 GB
Updated	2026-07-28
Maintainer	JackFram
Model Type	llama
Model Files	0.7 GB 1.3 GB 0.7 GB 0.0 GB 0.0 GB
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	2048
Model Max Length	2048
Transformers Version	4.31.0.dev0
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32000
Torch Data Type	float32

Rank the Llama 160M 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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