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PowerLM 3B by ibm

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PowerLM 3B is an open-source language model by ibm. Features: 3b LLM, VRAM: 14GB, Context: 4K, License: apache-2.0, LLM Explorer Score: 0.22.

  Arxiv:2408.13359   Autotrain compatible   Granite   Model-index   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/ibm/PowerLM-3b 

PowerLM 3B Benchmarks

LLME Score: 0.2177
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
PowerLM 3B (ibm/PowerLM-3b)
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PowerLM 3B Parameters and Internals

Model Type 
text-generation
Additional Notes 
PowerLM-3B is a small language model using the Power learning rate scheduler, trained on a mix of open-source and proprietary datasets.
Input Output 
Input Format:
Prompt text
Accepted Modalities:
text
Output Format:
Generated text
LLM NamePowerLM 3B
Repository 🤗https://huggingface.co/ibm/PowerLM-3b 
Model Size3b
Required VRAM14 GB
Updated2025-02-05
Maintaineribm
Model Typegranite
Model Files  4.9 GB: 1-of-3   4.9 GB: 2-of-3   4.2 GB: 3-of-3
Model ArchitectureGraniteForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.45.0.dev0
Tokenizer ClassGPT2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size49152
Torch Data Typebfloat16

Best Alternatives to PowerLM 3B

Best Alternatives
Context / RAM
Downloads
Likes
Granite 4.1 3B128K / 6.8 GB3011968
Granite 4.1 3B Base128K / 6.8 GB5213917
Granite 4.1 3B128K / 6.8 GB6062
Granite 4.1 3B Mxfp4128K / 1.8 GB3772
Granite 4.1 3B Abliterated128K / 6.8 GB240
PowerLM 3B4K / 14 GB16256721
Granite 3B Mup Test Artifact4K / 14 GB1440
Granite 4.1 3B Fp8128K / 4.2 GB9075
Note: green Score (e.g. "73.2") means that the model is better than ibm/PowerLM-3b.

Rank the PowerLM 3B 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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