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Granite 3.3 2B Instruct by unsloth

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Granite 3.3 2B Instruct is an open-source language model by unsloth. Features: 2b LLM, VRAM: 5.1GB, Context: 128K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.2.

  Autotrain compatible Base model:finetune:ibm-granit... Base model:ibm-granite/granite...   Conversational   Granite   Granite-3.3   Instruct   Language   Region:us   Safetensors   Sharded   Tensorflow   Unsloth
Model Card on HF 🤗: https://huggingface.co/unsloth/granite-3.3-2b-instruct 

Granite 3.3 2B Instruct Benchmarks

LLME Score: 0.20105
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Granite 3.3 2B Instruct (unsloth/granite-3.3-2b-instruct)
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Granite 3.3 2B Instruct Parameters and Internals

LLM NameGranite 3.3 2B Instruct
Repository 🤗https://huggingface.co/unsloth/granite-3.3-2b-instruct 
Base Model(s)  ibm-granite/granite-3.3-2b-instruct   ibm-granite/granite-3.3-2b-instruct
Model Size2b
Required VRAM5.1 GB
Updated2025-09-23
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 Version4.51.0
Tokenizer ClassGPT2Tokenizer
Padding Token<fim_pad>
Vocabulary Size49159
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Granite 3.3 2B Instruct

Best Alternatives
Context / RAM
Downloads
Likes
Granite 3.1 2B Instruct128K / 5.1 GB970657
Granite 3.3 2B Instruct128K / 5.1 GB13045282
Granite 3.2 2B Instruct128K / 5.1 GB477353
... Instruct Literary Writer V0.1128K / 5.1 GB1012
Granite 3.2 2B Instruct128K / 5.1 GB774
Granite 3.0 2B Instruct4K / 5.3 GB455449
...te 3.2 2B Instruct Abliterated128K / 5.1 GB385
...te 3.1 2B Instruct Abliterated128K / 5.1 GB323
Note: green Score (e.g. "73.2") means that the model is better than unsloth/granite-3.3-2b-instruct.

Rank the Granite 3.3 2B Instruct Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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