What are the hardware requirements for Granite 4.2 30B Fable Distill?

Granite 4.2 30B Fable Distill requires approximately 58.2 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 4.2 30B Fable Distill and how large is it?

Granite 4.2 30B Fable Distill is developed by armand0e, a model with 30b 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 4.2 30B Fable Distill?

Granite 4.2 30B Fable Distill is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Granite 4.2 30B Fable Distill by armand0e — VRAM 58.2GB, 128K context

Name: Granite 4.2 30B Fable Distill
Author: armand0e

Granite 4.2 30B Fable Distill is an open-source language model by armand0e. Features: 30b LLM, VRAM: 58.2GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.32.

Agentic Base model:finetune:ibm-granit... Base model:ibm-granite/granite... Conversational De Distillation En Endpoints compatible Es Fr Granite Granite-4.2 Ja Multilingual Pt Region:us Safetensors Sharded Tensorflow Tool-use Zh

Model Card on HF 🤗: https://huggingface.co/armand0e/Granite-4.2-30B-Fable-Distill

Granite 4.2 30B Fable Distill Parameters and Internals

LLM Name	Granite 4.2 30B Fable Distill
Repository 🤗	https://huggingface.co/armand0e/Granite-4.2-30B-Fable-Distill
Model Name	ibm-granite/granite-4.2-30b
Base Model(s)	ibm-granite/granite-4.2-30b ibm-granite/granite-4.2-30b
Model Size	30b
Required VRAM	58.2 GB
Updated	2026-08-30
Maintainer	armand0e
Model Type	granite
Model Files	5.2 GB: 1-of-11 5.3 GB: 2-of-11 5.3 GB: 3-of-11 5.3 GB: 4-of-11 5.3 GB: 5-of-11 5.3 GB: 6-of-11 5.3 GB: 7-of-11 5.3 GB: 8-of-11 5.3 GB: 9-of-11 5.3 GB: 10-of-11 5.3 GB: 11-of-11
Supported Languages	en es fr de pt ja zh
Model Architecture	GraniteForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|fim_pad\|>
Vocabulary Size	100352
Torch Data Type	bfloat16
Errors	replace

Rank the Granite 4.2 30B Fable Distill 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

Best Alternatives to Granite 4.2 30B Fable Distill

Best Alternatives	Context / RAM	Downloads	Likes
...30B Claude 4.6 Opus Thinking X	128K / 58.6 GB	48	1
Granite 4.2 30B	128K / 58.2 GB	995	62
Granite 4.1 30B	128K / 57.8 GB	20845	138
Granite 4.2 30B Fp8	128K / 30.1 GB	345	2
Granite 4.2 30B Nvfp4	128K / 17.6 GB	109	2
Granite 4.1 30B Base	128K / 57.8 GB	1705	27
Granite 4.2 30B Mxfp4	128K / 16.8 GB	18	2
Granite 4.1 30B Mxfp4	128K / 15.3 GB	494	2
Granite 4.1 30B Nvfp4	128K / 16.1 GB	344	2
Granite 4.1 30B Mxfp8	128K / 29.8 GB	328	3

Note: green Score (e.g. "73.2") means that the model is better than armand0e/Granite-4.2-30B-Fable-Distill.