What are the hardware requirements for Llama 3 187M Instruct?

Llama 3 187M Instruct requires approximately 0.7 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama 3 187M Instruct and how large is it?

Llama 3 187M Instruct is developed by luvres, a model with 187m 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 3 187M Instruct?

Llama 3 187M Instruct is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3 187M Instruct by luvres — VRAM 0.7GB, 8K context

Name: Llama 3 187M Instruct
Author: luvres

Llama 3 187M Instruct is an open-source language model by luvres. Features: 187m LLM, VRAM: 0.7GB, Context: 8K, Instruction-Based, LLM Explorer Score: 0.13.

Arxiv:1910.09700 Conversational Endpoints compatible Instruct Llama Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/luvres/Llama-3-187M-Instruct

Llama 3 187M Instruct Parameters and Internals

LLM Name	Llama 3 187M Instruct
Repository 🤗	https://huggingface.co/luvres/Llama-3-187M-Instruct
Model Size	187m
Required VRAM	0.7 GB
Updated	2026-07-26
Maintainer	luvres
Model Type	llama
Instruction-Based	Yes
Model Files	0.7 GB
Model Architecture	LlamaForCausalLM
Context Length	8192
Model Max Length	8192
Transformers Version	4.38.2
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	float32

Rank the Llama 3 187M Instruct 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 Llama 3 187M Instruct

Best Alternatives	Context / RAM	Downloads	Likes
Tiny Ko 187M Sft 250718	64K / 0.4 GB	24	1

Note: green Score (e.g. "73.2") means that the model is better than luvres/Llama-3-187M-Instruct.