What are the hardware requirements for Lugha Llama 8B Wura?

Lugha Llama 8B Wura requires approximately 32.1 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Lugha Llama 8B Wura and how large is it?

Lugha Llama 8B Wura is developed by Lugha-Llama, a model with 8b 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 Lugha Llama 8B Wura?

Lugha Llama 8B Wura is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Lugha Llama 8B Wura by Lugha-Llama — VRAM 32.1GB, 128K context

Name: Lugha Llama 8B Wura
Author: Lugha-Llama

Lugha Llama 8B Wura is an open-source language model by Lugha-Llama. Features: 8b LLM, VRAM: 32.1GB, Context: 128K, License: llama3.1, LLM Explorer Score: 0.17.

Arxiv:2305.06897 Arxiv:2406.03368 Arxiv:2504.06536 Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Lugha-Llama/Lugha-Llama-8B-wura

Lugha Llama 8B Wura Parameters and Internals

LLM Name	Lugha Llama 8B Wura
Repository 🤗	https://huggingface.co/Lugha-Llama/Lugha-Llama-8B-wura
Model Size	8b
Required VRAM	32.1 GB
Updated	2026-07-15
Maintainer	Lugha-Llama
Model Type	llama
Model Files	4.9 GB: 1-of-7 4.8 GB: 2-of-7 5.0 GB: 3-of-7 5.0 GB: 4-of-7 4.8 GB: 5-of-7 5.0 GB: 6-of-7 2.6 GB: 7-of-7
Model Architecture	LlamaForCausalLM
License	llama3.1
Context Length	131072
Model Max Length	131072
Transformers Version	4.44.2
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	float32

Rank the Lugha Llama 8B Wura capabilities

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Instruction Following and Task Automation
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Data Analysis and Insight Generation
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Note: green Score (e.g. "73.2") means that the model is better than Lugha-Llama/Lugha-Llama-8B-wura.