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Llama 2 70B Orca 200K GGUF by TheBloke

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Llama 2 70B Orca 200K GGUF is an open-source language model by TheBloke. Features: 70b LLM, VRAM: 29.3GB, License: llama2, Quantized, Instruction-Based, LLM Explorer Score: 0.09.

Base model:ddobokki/llama-2-70... Base model:quantized:ddobokki/...   En   Gguf   Instruct   Instruction   Llama   Llama2   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/TheBloke/Llama-2-70B-Orca-200k-GGUF 

Llama 2 70B Orca 200K GGUF Benchmarks

LLME Score: 0.09455
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 2 70B Orca 200K GGUF (TheBloke/Llama-2-70B-Orca-200k-GGUF)
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Llama 2 70B Orca 200K GGUF Parameters and Internals

Model Type 
instruction
LLM NameLlama 2 70B Orca 200K GGUF
Repository 🤗https://huggingface.co/TheBloke/Llama-2-70B-Orca-200k-GGUF 
Model NameLlama 2 70B Orca 200k
Model Creatorddobokki
Base Model(s)  Llama 2 70B Orca 200K   ddobokki/Llama-2-70b-orca-200k
Model Size70b
Required VRAM29.3 GB
Updated2026-04-03
MaintainerTheBloke
Model Typellama
Instruction-BasedYes
Model Files  29.3 GB   36.1 GB   33.2 GB   29.9 GB   38.9 GB   41.4 GB   39.1 GB   47.5 GB   48.8 GB   47.5 GB
Supported Languagesen
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-2-70B-Orca-200k-GGUF.

Rank the Llama 2 70B Orca 200K 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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