LLaMA Pro 8B Instruct GGUF by TheBloke

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Base model:quantized:tencentar... Base model:tencentarc/llama-pr...   Conversational   Gguf   Instruct   Llama   Quantized   Region:us

LLaMA Pro 8B Instruct GGUF Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
LLaMA Pro 8B Instruct GGUF (TheBloke/LLaMA-Pro-8B-Instruct-GGUF)
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LLaMA Pro 8B Instruct GGUF Parameters and Internals

Model Type 
llama
Use Cases 
Primary Use Cases:
programming, mathematical reasoning, general language processing
Limitations:
highly niche or nuanced tasks
Additional Notes 
LLaMA-PRO-Instruct is a transformative expansion of the LLaMA2-7B model.
Training Details 
Data Volume:
over 80 billion tokens
Methodology:
block expansion techniques
Model Architecture:
LLaMA2-7B expansion
Responsible Ai Considerations 
Mitigation Strategies:
Users are advised to consider inherent biases
Input Output 
Input Format:
<|user|> {prompt} <|assistant|>
LLM NameLLaMA Pro 8B Instruct GGUF
Repository ๐Ÿค—https://huggingface.co/TheBloke/LLaMA-Pro-8B-Instruct-GGUF 
Model NameLlama Pro 8B Instruct
Model CreatorARC Lab, Tencent PCG
Base Model(s)  LLaMA Pro 8B Instruct   TencentARC/LLaMA-Pro-8B-Instruct
Model Size8b
Required VRAM3.5 GB
Updated2025-08-20
MaintainerTheBloke
Model Typellama
Instruction-BasedYes
Model Files  3.5 GB   4.5 GB   4.1 GB   3.6 GB   4.7 GB   5.1 GB   4.8 GB   5.8 GB   5.9 GB   5.8 GB   6.9 GB   8.9 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licensellama2

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/LLaMA-Pro-8B-Instruct-GGUF.

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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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124