Who developed Granite 3.2 8B Lora Rag Citation Generation and how large is it?

Granite 3.2 8B Lora Rag Citation Generation 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 Lora Rag Citation Generation?

Granite 3.2 8B Lora Rag Citation Generation 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 Lora Rag Citation Generation by ibm-granite

Name: Granite 3.2 8B Lora Rag Citation Generation
Author: ibm-granite

Granite 3.2 8B Lora Rag Citation Generation is an open-source language model by ibm-granite. Features: 8b LLM, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.17.

Arxiv:2409.02897 Arxiv:2409.11500 Adapter Base model:adapter:ibm-granite... Base model:ibm-granite/granite... Conversational En Finetuned Instruct Lora Peft Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/ibm-granite/granite-3.2-8b-lora-rag-citation-generation

Granite 3.2 8B Lora Rag Citation Generation Parameters and Internals

LLM Name	Granite 3.2 8B Lora Rag Citation Generation
Repository 🤗	https://huggingface.co/ibm-granite/granite-3.2-8b-lora-rag-citation-generation
Base Model(s)	ibm-granite/granite-3.2-8b-instruct ibm-granite/granite-3.2-8b-instruct
Model Size	8b
Required VRAM	0 GB
Updated	2026-05-01
Maintainer	ibm-granite
Instruction-Based	Yes
Model Files	0.0 GB
Supported Languages	en
Model Architecture	Adapter
License	apache-2.0
Model Max Length	9223372036854775807
Is Biased	none
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|end_of_text\|>
Vocabulary Size	49152
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	q_proj\|k_proj\|v_proj\|o_proj\|up_proj\|down_proj\|gate_proj
LoRA Alpha	8
LoRA Dropout	0.1
R Param	8
Errors	replace

Rank the Granite 3.2 8B Lora Rag Citation Generation 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

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