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Granite 3.2 2B Instruct by unsloth

 »  All LLMs  »  unsloth  »  Granite 3.2 2B Instruct   URL Share it on

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  Arxiv:0000.00000   Autotrain compatible Base model:finetune:ibm-granit... Base model:ibm-granite/granite...   Conversational   Ganite   Granite   Granite-3.2   Instruct   Language   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/unsloth/granite-3.2-2b-instruct 

Granite 3.2 2B Instruct Benchmarks

LLME Score: 0.27528
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Granite 3.2 2B Instruct (unsloth/granite-3.2-2b-instruct)

Granite 3.2 2B Instruct Parameters and Internals

LLM NameGranite 3.2 2B Instruct
Repository 🤗https://huggingface.co/unsloth/granite-3.2-2b-instruct 
Base Model(s)  ibm-granite/granite-3.2-2b-instruct   ibm-granite/granite-3.2-2b-instruct
Model Size2b
Required VRAM5.1 GB
Updated2025-04-26
Maintainerunsloth
Model Typegranite
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   0.1 GB: 2-of-2
Model ArchitectureGraniteForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.49.0
Tokenizer ClassGPT2Tokenizer
Padding Token<fim_pad>
Vocabulary Size49155
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Granite 3.2 2B Instruct

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Context / RAM
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Granite 3.1 2B Instruct128K / 5.1 GB2905848
Granite 3.2 2B Instruct128K / 5.1 GB2371547
Granite 3.3 2B Instruct128K / 5.1 GB2781322
Granite 3.0 2B Instruct4K / 5.3 GB869347
...te 3.2 2B Instruct Abliterated128K / 5.1 GB205
...te 3.1 2B Instruct Abliterated128K / 5.1 GB93
Note: green Score (e.g. "73.2") means that the model is better than unsloth/granite-3.2-2b-instruct.

Rank the Granite 3.2 2B Instruct 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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Release v20241227
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