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LLaMA Pro 8B Instruct GGUF by TheBloke

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LLaMA Pro 8B Instruct GGUF is an open-source language model by TheBloke. Features: 8b LLM, VRAM: 3.5GB, License: llama2, Quantized, Instruction-Based, LLM Explorer Score: 0.13.

Base model:quantized:tencentar... Base model:tencentarc/llama-pr...   Conversational   Gguf   Instruct   Llama   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/TheBloke/LLaMA-Pro-8B-Instruct-GGUF 

LLaMA Pro 8B Instruct GGUF Benchmarks

LLME Score: 0.12836
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 🤗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
Updated2025-09-23
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.

Rank the LLaMA Pro 8B Instruct 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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