What are the hardware requirements for Granite 3.0 8B Lora Intrinsics V0.1?

Granite 3.0 8B Lora Intrinsics V0.1 requires approximately 32.8 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Granite 3.0 8B Lora Intrinsics V0.1 and how large is it?

Granite 3.0 8B Lora Intrinsics V0.1 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 3.0 8B Lora Intrinsics V0.1?

Granite 3.0 8B Lora Intrinsics V0.1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Granite 3.0 8B Lora Intrinsics V0.1 by ibm-granite — VRAM 32.8GB, 4K context

Name: Granite 3.0 8B Lora Intrinsics V0.1
Author: ibm-granite

Granite 3.0 8B Lora Intrinsics V0.1 is an open-source language model by ibm-granite. Features: 8b LLM, VRAM: 32.8GB, Context: 4K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.16.

Arxiv:2403.06009 Arxiv:2403.08819 Conversational En Endpoints compatible Granite Instruct Lora Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/ibm-granite/granite-3.0-8b-lora-intrinsics-v0.1

Granite 3.0 8B Lora Intrinsics V0.1 Parameters and Internals

LLM Name	Granite 3.0 8B Lora Intrinsics V0.1
Repository 🤗	https://huggingface.co/ibm-granite/granite-3.0-8b-lora-intrinsics-v0.1
Model Size	8b
Required VRAM	32.8 GB
Updated	2026-05-14
Maintainer	ibm-granite
Model Type	granite
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-7 5.0 GB: 2-of-7 5.0 GB: 3-of-7 5.0 GB: 4-of-7 5.0 GB: 5-of-7 5.0 GB: 6-of-7 2.8 GB: 7-of-7
Supported Languages	en
Model Architecture	GraniteForCausalLM
License	apache-2.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.45.2
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|end_of_text\|>
Vocabulary Size	49155
LoRA Model	Yes
Torch Data Type	float32
Errors	replace

Rank the Granite 3.0 8B Lora Intrinsics V0.1 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 3.0 8B Lora Intrinsics V0.1

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 3.2 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
...an 3.2 8B Factuality Detection	128K / 16.4 GB	138	4
Granite 3.3 8B Qiskit	128K / 16.4 GB	107	7

Note: green Score (e.g. "73.2") means that the model is better than ibm-granite/granite-3.0-8b-lora-intrinsics-v0.1.