What are the hardware requirements for Granite 3.3 8B Instruct GGUF?

Granite 3.3 8B Instruct GGUF requires approximately 1.9 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 Granite 3.3 8B Instruct GGUF and how large is it?

Granite 3.3 8B Instruct GGUF is developed by unsloth, 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 Granite 3.3 8B Instruct GGUF?

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

Granite 3.3 8B Instruct GGUF by unsloth — VRAM 1.9GB, 128K context

Name: Granite 3.3 8B Instruct GGUF
Author: unsloth

Granite 3.3 8B Instruct GGUF is an open-source language model by unsloth. Features: 8b LLM, VRAM: 1.9GB, Context: 128K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.19.

Arxiv:0000.00000 Base model:ibm-granite/granite... Base model:quantized:ibm-grani... Conversational Gguf Granite Granite-3.3 Instruct Language Q2 Quantized Region:us Unsloth

Model Card on HF 🤗: https://huggingface.co/unsloth/granite-3.3-8b-instruct-GGUF

Granite 3.3 8B Instruct GGUF Parameters and Internals

LLM Name	Granite 3.3 8B Instruct GGUF
Repository 🤗	https://huggingface.co/unsloth/granite-3.3-8b-instruct-GGUF
Base Model(s)	ibm-granite/granite-3.3-8b-instruct ibm-granite/granite-3.3-8b-instruct
Model Size	8b
Required VRAM	1.9 GB
Updated	2026-06-30
Maintainer	unsloth
Model Type	granite
Instruction-Based	Yes
Model Files	16.3 GB 4.7 GB 4.4 GB 3.1 GB 3.1 GB 4.0 GB 3.6 GB 4.7 GB 5.2 GB 4.9 GB 4.7 GB 5.8 GB 5.7 GB 6.7 GB 2.1 GB 1.9 GB 2.9 GB 2.3 GB 3.2 GB 3.2 GB 4.1 GB 5.0 GB 5.8 GB 7.2 GB 9.9 GB
GGUF Quantization	Yes
Quantization Type	gguf\|q2\|q4_k\|q5_k
Model Architecture	GraniteForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.52.0.dev0
Vocabulary Size	49159
Torch Data Type	bfloat16

Rank the Granite 3.3 8B Instruct GGUF capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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 Granite 3.3 8B Instruct GGUF

Best Alternatives	Context / RAM	Downloads	Likes
Granite 3.3 8B Instruct Fp16	128K / 16.4 GB	63	3
Granite 3.3 8B Instruct 8bit	128K / 8.6 GB	53	2
...anite 3.2 8B Instruct Bnb 4bit	128K / 4.5 GB	186	3
Granite 3.1 8B Instruct	128K / 16.4 GB	138888	168
Granite 3.1 8B Reasoning	128K / 16.4 GB	5	1
Granite 3.1 8B Instruct	128K / 16.4 GB	185	1
Granite 3.2 8B Instruct	128K / 16.4 GB	3792	92
Granite 3.3 8B Instruct	128K / 16.4 GB	55103	160
Granite 3.3 8B Instruct FP8	128K / 8.4 GB	6980	3
Tema Q R19.0	128K / 17.6 GB	7	0

Note: green Score (e.g. "73.2") means that the model is better than unsloth/granite-3.3-8b-instruct-GGUF.