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Granite 4.1 30B by unsloth

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Granite 4.1 30B is an open-source language model by unsloth. Features: 30b LLM, VRAM: 57.8GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.29.

  Arxiv:0000.00000 Base model:finetune:ibm-granit... Base model:ibm-granite/granite...   Conversational   Endpoints compatible   Granite   Granite-4.0   Language   Region:us   Safetensors   Sharded   Tensorflow   Unsloth
Model Card on HF 🤗: https://huggingface.co/unsloth/granite-4.1-30b 

Granite 4.1 30B Benchmarks

LLME Score: 0.29157
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Granite 4.1 30B (unsloth/granite-4.1-30b)
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Granite 4.1 30B Parameters and Internals

LLM NameGranite 4.1 30B
Repository 🤗https://huggingface.co/unsloth/granite-4.1-30b 
Base Model(s)  ibm-granite/granite-4.1-30b   ibm-granite/granite-4.1-30b
Model Size30b
Required VRAM57.8 GB
Updated2026-05-01
Maintainerunsloth
Model Typegranite
Model Files  5.0 GB: 1-of-12   4.8 GB: 2-of-12   5.0 GB: 3-of-12   4.8 GB: 4-of-12   5.0 GB: 5-of-12   4.8 GB: 6-of-12   5.0 GB: 7-of-12   4.8 GB: 8-of-12   5.0 GB: 9-of-12   4.8 GB: 10-of-12   5.0 GB: 11-of-12   3.8 GB: 12-of-12
Model ArchitectureGraniteForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.57.6
Tokenizer ClassGPT2Tokenizer
Padding Token<|pad|>
Vocabulary Size100352
Torch Data Typebfloat16

Best Alternatives to Granite 4.1 30B

Best Alternatives
Context / RAM
Downloads
Likes
...30B Claude 4.6 Opus Thinking X128K / 58.6 GB81
Granite 4.1 30B Base128K / 57.8 GB128024
Granite 4.1 30B Mxfp8128K / 29.8 GB6602
Granite 4.1 30B128K / 57.8 GB12437
...6 Opus Thinking Charles Xavier128K / 58.6 GB470
Unsloth Granite 4.1 30B Mlx128K / 57.4 GB490
...ui Granite 4.1 30B Abliterated128K / 57.8 GB1629
Granite 4.1 30B 4bit128K / 18.1 GB4762
Granite 4.1 30B Fp8128K / 30.1 GB38248
Note: green Score (e.g. "73.2") means that the model is better than unsloth/granite-4.1-30b.

Rank the Granite 4.1 30B 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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