What are the hardware requirements for Granite 3.2 8B Instruct?

Granite 3.2 8B Instruct requires approximately 16.4 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 3.2 8B Instruct and how large is it?

Granite 3.2 8B Instruct is developed by ibm-granite, 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 3.2 8B Instruct?

Granite 3.2 8B Instruct is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Granite 3.2 8B Instruct by ibm-granite — VRAM 16.4GB, 128K context

Name: Granite 3.2 8B Instruct
Author: ibm-granite

Granite 3.2 8B Instruct is an open-source language model by ibm-granite. Features: 8b LLM, VRAM: 16.4GB, Context: 128K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.29.

Arxiv:0000.00000 Base model:finetune:ibm-granit... Base model:ibm-granite/granite... Conversational Granite Granite-3.2 Instruct Language Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/ibm-granite/granite-3.2-8b-instruct

Granite 3.2 8B Instruct Parameters and Internals

LLM Name	Granite 3.2 8B Instruct
Repository 🤗	https://huggingface.co/ibm-granite/granite-3.2-8b-instruct
Base Model(s)	ibm-granite/granite-3.1-8b-instruct ibm-granite/granite-3.1-8b-instruct
Model Size	8b
Required VRAM	16.4 GB
Updated	2026-07-23
Maintainer	ibm-granite
Model Type	granite
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 5.0 GB: 3-of-4 1.4 GB: 4-of-4
Model Architecture	GraniteForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.47.0
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|end_of_text\|>
Vocabulary Size	49155
Torch Data Type	bfloat16
Errors	replace

Rank the Granite 3.2 8B Instruct 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

Quantized Models of the Granite 3.2 8B Instruct

Model	Likes	Downloads	VRAM
...anite 3.2 8B Instruct Bnb 4bit	3	186	4 GB

Best Alternatives to Granite 3.2 8B Instruct

Best Alternatives	Context / RAM	Downloads	Likes
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 3.3 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
...an 3.2 8B Factuality Detection	128K / 16.4 GB	138	4
Granite 3.3 8B Qiskit	128K / 16.4 GB	107	7
...ranite 3.2 8B Instruct Preview	128K / 16.4 GB	148	70

Note: green Score (e.g. "73.2") means that the model is better than ibm-granite/granite-3.2-8b-instruct.