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Llama 2 7B Ft Instruct Es GGUF by TheBloke

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Base model:clibrain/llama-2-7b... Base model:quantized:clibrain/...   Es   Gguf   Instruct   Llama   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/TheBloke/Llama-2-7B-ft-instruct-es-GGUF 

Llama 2 7B Ft Instruct Es GGUF Benchmarks

LLME Score: 0.16718
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 2 7B Ft Instruct Es GGUF (TheBloke/Llama-2-7B-ft-instruct-es-GGUF)

Llama 2 7B Ft Instruct Es GGUF Parameters and Internals

Model Type 
text-generation
Additional Notes 
Quantized using hardware provided by Massed Compute. Original model fine-tuned by CliBrAIn, quantization by TheBloke.
Supported Languages 
es (native)
Input Output 
Input Format:
A prompt-based instruction format.
Accepted Modalities:
text
Output Format:
Textual response
LLM NameLlama 2 7B Ft Instruct Es GGUF
Repository 🤗https://huggingface.co/TheBloke/Llama-2-7B-ft-instruct-es-GGUF 
Model NameLlama 2 7B FT Instruct ES
Model CreatorCliBrAIn
Base Model(s)  Llama 2 7B Ft Instruct Es   clibrain/Llama-2-7b-ft-instruct-es
Model Size7b
Required VRAM2.8 GB
Updated2024-12-23
MaintainerTheBloke
Model Typellama
Instruction-BasedYes
Model Files  2.8 GB   3.6 GB   3.3 GB   3.0 GB   3.8 GB   4.1 GB   3.9 GB   4.7 GB   4.8 GB   4.7 GB   5.5 GB   7.2 GB
Supported Languageses
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/Llama-2-7B-ft-instruct-es-GGUF.

Rank the Llama 2 7B Ft Instruct Es 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217
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