What are the hardware requirements for Llama 3.3 70B Instruct GGUF?

Llama 3.3 70B Instruct GGUF requires approximately 15.9 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 70B Instruct GGUF and how large is it?

Llama 3.3 70B Instruct GGUF is developed by unsloth, a model with 70b 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 70B Instruct GGUF?

Llama 3.3 70B Instruct GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3.3 70B Instruct GGUF by unsloth — VRAM 15.9GB, 128K context

Name: Llama 3.3 70B Instruct GGUF
Author: unsloth

Llama 3.3 70B Instruct GGUF is an open-source language model by unsloth. Features: 70b LLM, VRAM: 15.9GB, Context: 128K, License: llama3.3, Quantized, Instruction-Based, LLM Explorer Score: 0.21.

Arxiv:2204.05149 Base model:meta-llama/llama-3.... Base model:quantized:meta-llam... Conversational En Endpoints compatible Facebook Gguf Imatrix Instruct Llama Llama-3 Meta Pytorch Q2 Quantized Region:us Unsloth

Model Card on HF 🤗: https://huggingface.co/unsloth/Llama-3.3-70B-Instruct-GGUF

Llama 3.3 70B Instruct GGUF Parameters and Internals

LLM Name	Llama 3.3 70B Instruct GGUF
Repository 🤗	https://huggingface.co/unsloth/Llama-3.3-70B-Instruct-GGUF
Base Model(s)	meta-llama/Llama-3.3-70B-Instruct meta-llama/Llama-3.3-70B-Instruct
Model Size	70b
Required VRAM	15.9 GB
Updated	2026-08-08
Maintainer	unsloth
Model Type	llama
Instruction-Based	Yes
Model Files	40.1 GB 37.9 GB 26.4 GB 26.6 GB 34.3 GB 30.9 GB 40.1 GB 44.3 GB 42.5 GB 40.3 GB 49.9 GB 48.7 GB 17.1 GB 15.9 GB 24.3 GB 19.4 GB 27.7 GB 27.0 GB 34.8 GB 42.7 GB 49.9 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf\|q2\|q4_k\|q5_k
Model Architecture	LlamaForCausalLM
License	llama3.3
Context Length	131072
Model Max Length	131072
Transformers Version	4.52.0.dev0
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Llama 3.3 70B Instruct GGUF 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 3.3 70B Instruct GGUF

Best Alternatives	Context / RAM	Downloads	Likes
Grok Oss Revenant 70B	128K / 141.9 GB	8503	2
Reflection Llama 3.1 70B Bf16	128K / 141.9 GB	283	6
...ma3 70B Chinese Chat GGUF 4bit	8K / 40 GB	196	18
Meta Llama 3 70B Instruct	8K / 40.3 GB	6	1
CodeLlama 70B Instruct Hf GGUF	4K / 25.5 GB	487	2
...B Instruct Gradient 1048K 8bit	1024K / 75 GB	41	5
...B Instruct Gradient 1048K 4bit	1024K / 39.7 GB	25	3
...B Instruct Gradient 1048K 2bit	1024K / 21.9 GB	25	2
...0B Instruct Gradient 262K 4bit	256K / 39.7 GB	25	3
...0B Instruct Gradient 262K 8bit	256K / 75 GB	26	2

Note: green Score (e.g. "73.2") means that the model is better than unsloth/Llama-3.3-70B-Instruct-GGUF.