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Poro 34B GGUF by TheBloke

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Poro 34B GGUF is an open-source language model by TheBloke. Features: 34b LLM, VRAM: 14.5GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.11.

  Base model:lumiopen/poro-34b Base model:quantized:lumiopen/...   Bloom   Dataset:allenai/dolma   Dataset:bigcode/starcoderdata Dataset:cerebras/slimpajama-62...   Dataset:mc4   Gguf   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/TheBloke/Poro-34B-GGUF 

Poro 34B GGUF Benchmarks

LLME Score: 0.11186
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Poro 34B GGUF (TheBloke/Poro-34B-GGUF)
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Poro 34B GGUF Parameters and Internals

Model Type 
bloom, decoder-only transformer
Use Cases 
Areas:
Research, Testing
Limitations:
Requires further fine-tuning for most use cases, Limited to Finnish, English, and code proficiency
Additional Notes 
Poro is part of an ongoing effort to support non-English and low resource languages.
Supported Languages 
Finnish (Fluent), English (Fluent), Code (Fluent)
Training Details 
Data Sources:
cerebras/SlimPajama-627B, bigcode/starcoderdata, mc4, allenai/dolma
Data Volume:
1 trillion tokens (500 billion as of this release)
Methodology:
Pretrained using BLOOM architecture with ALiBi embeddings
Context Length:
2048
Hardware Used:
512 AMD MI250X GPUs
Model Architecture:
Generative pretrained transformer with BLOOM architecture and ALiBi embeddings
Responsible Ai Considerations 
Fairness:
Poro is a release of a partially trained model; outputs might reflect biases of training data.
Transparency:
Efforts towards creating open-source models for Finnish and English with code.
Accountability:
Joint collaboration by multiple parties, including LumiOpen and academic institutions.
Mitigation Strategies:
Further tuning recommended for most use cases.
LLM NamePoro 34B GGUF
Repository 🤗https://huggingface.co/TheBloke/Poro-34B-GGUF 
Model NamePoro 34B
Model CreatorLumiOpen
Base Model(s)  Poro 34B   LumiOpen/Poro-34B
Model Size34b
Required VRAM14.5 GB
Updated2026-05-14
MaintainerTheBloke
Model Typebloom
Model Files  14.5 GB   20.2 GB   18.5 GB   15.5 GB   20.0 GB   22.4 GB   20.1 GB   24.3 GB   26.1 GB   24.3 GB   28.8 GB   37.3 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licenseapache-2.0

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Poro-34B-GGUF.

Rank the Poro 34B GGUF 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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