What are the hardware requirements for Llama Gujarat 8B?

Llama Gujarat 8B requires approximately 16.1 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 Llama Gujarat 8B and how large is it?

Llama Gujarat 8B is developed by DesaiJayM, 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 Llama Gujarat 8B?

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

Llama Gujarat 8B by DesaiJayM — VRAM 16.1GB, 128K context

Name: Llama Gujarat 8B
Author: DesaiJayM

Llama Gujarat 8B is an open-source language model by DesaiJayM. Features: 8b LLM, VRAM: 16.1GB, Context: 128K, License: llama3.1, Instruction-Based, LLM Explorer Score: 0.32.

Base model:finetune:meta-llama... Base model:meta-llama/llama-3.... Conversational En Endpoints compatible Gu Gujarati Instruct Llama Merge Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/DesaiJayM/Llama-Gujarat-8B

Llama Gujarat 8B Parameters and Internals

LLM Name	Llama Gujarat 8B
Repository 🤗	https://huggingface.co/DesaiJayM/Llama-Gujarat-8B
Base Model(s)	meta-llama/Llama-3.1-8B-Instruct meta-llama/Llama-3.1-8B-Instruct
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-10-09
Maintainer	DesaiJayM
Model Type	llama
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 4.9 GB: 3-of-4 1.2 GB: 4-of-4
Supported Languages	gu en
Model Architecture	LlamaForCausalLM
License	llama3.1
Context Length	131072
Model Max Length	131072
Transformers Version	4.57.1
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|eot_id\|>
Vocabulary Size	128256

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Instruction Following and Task Automation
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