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

Granite 3.3 8B Instruct 8bit requires approximately 8.6 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 8bit and how large is it?

Granite 3.3 8B Instruct 8bit is developed by mlx-community, 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 8bit?

Granite 3.3 8B Instruct 8bit 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 8bit by mlx-community — VRAM 8.6GB, 128K context

Name: Granite 3.3 8B Instruct 8bit
Author: mlx-community

Granite 3.3 8B Instruct 8bit is an open-source language model by mlx-community. Features: 8b LLM, VRAM: 8.6GB, Context: 128K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.18.

8-bit 8bit Base model:ibm-granite/granite... Base model:quantized:ibm-grani... Conversational Granite Granite-3.3 Instruct Language Mlx Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mlx-community/granite-3.3-8b-instruct-8bit

Granite 3.3 8B Instruct 8bit Parameters and Internals

LLM Name	Granite 3.3 8B Instruct 8bit
Repository 🤗	https://huggingface.co/mlx-community/granite-3.3-8b-instruct-8bit
Base Model(s)	ibm-granite/granite-3.3-8b-instruct ibm-granite/granite-3.3-8b-instruct
Model Size	8b
Required VRAM	8.6 GB
Updated	2026-08-04
Maintainer	mlx-community
Model Type	granite
Instruction-Based	Yes
Model Files	5.3 GB: 1-of-2 3.3 GB: 2-of-2
Quantization Type	8bit
Model Architecture	GraniteForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.49.0
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|end_of_text\|>
Vocabulary Size	49159
Torch Data Type	bfloat16
Errors	replace

Rank the Granite 3.3 8B Instruct 8bit 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 8bit

Best Alternatives	Context / RAM	Downloads	Likes
Granite 3.3 8B Instruct Fp16	128K / 16.4 GB	63	3
...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
Granite 3.3 8B Math Prm V2	128K / 16.4 GB	203	14

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