What are the hardware requirements for Llama 3.3 8B Instruct 128K?

Llama 3.3 8B Instruct 128K 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 3.3 8B Instruct 128K and how large is it?

Llama 3.3 8B Instruct 128K is developed by shb777, 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 3.3 8B Instruct 128K?

Llama 3.3 8B Instruct 128K is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3.3 8B Instruct 128K by shb777 — VRAM 16.1GB, 128K context

Name: Llama 3.3 8B Instruct 128K
Author: shb777

Llama 3.3 8B Instruct 128K is an open-source language model by shb777. Features: 8b LLM, VRAM: 16.1GB, Context: 128K, License: llama3.3, Instruction-Based, LLM Explorer Score: 0.24.

Base model:allura-forge/llama-... Base model:finetune:allura-for... Conversational Instruct Llama Model-index Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/shb777/Llama-3.3-8B-Instruct-128K

Llama 3.3 8B Instruct 128K Parameters and Internals

LLM Name	Llama 3.3 8B Instruct 128K
Repository 🤗	https://huggingface.co/shb777/Llama-3.3-8B-Instruct-128K
Base Model(s)	allura-forge/Llama-3.3-8B-Instruct allura-forge/Llama-3.3-8B-Instruct
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-07-25
Maintainer	shb777
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
Model Architecture	LlamaForCausalLM
License	llama3.3
Context Length	131072
Model Max Length	131072
Transformers Version	4.57.3
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256

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Instruction Following and Task Automation
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