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Llama 2 70B Guanaco QLoRA GGUF by nitsuai

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Llama 2 70B Guanaco QLoRA GGUF is an open-source language model by nitsuai. Features: 70b LLM, VRAM: 29.3GB, License: other, Quantized, LLM Explorer Score: 0.13.

Base model:mikael110/llama-2-7... Base model:quantized:mikael110...   En   Gguf   Llama   Llama2   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/nitsuai/llama-2-70b-Guanaco-QLoRA-GGUF 

Llama 2 70B Guanaco QLoRA GGUF Benchmarks

LLME Score: 0.12579
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 Guanaco QLoRA GGUF (nitsuai/llama-2-70b-Guanaco-QLoRA-GGUF)
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Llama 2 70B Guanaco QLoRA GGUF Parameters and Internals

Model Type 
text-classification
Additional Notes 
The model uses the GGUF format, which is no longer supported by llama.cpp but offers numerous advantages over GGML.
Input Output 
Input Format:
Guanaco
LLM NameLlama 2 70B Guanaco QLoRA GGUF
Repository 🤗https://huggingface.co/nitsuai/llama-2-70b-Guanaco-QLoRA-GGUF 
Model NameLlama2 70B Guanaco QLoRA
Model CreatorMikael110
Base Model(s)  Llama 2 70B Guanaco Qlora   Mikael110/llama-2-70b-guanaco-qlora
Model Size70b
Required VRAM29.3 GB
Updated2026-04-10
Maintainernitsuai
Model Typellama
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
Licenseother

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Note: green Score (e.g. "73.2") means that the model is better than nitsuai/llama-2-70b-Guanaco-QLoRA-GGUF.

Rank the Llama 2 70B Guanaco QLoRA 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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