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Lince Zero GGUF by TheBloke

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  Arxiv:1910.09700   Base model:clibrain/lince-zero Base model:quantized:clibrain/... Dataset:databricks/databricks-...   Dataset:tatsu-lab/alpaca   Es   Falcon   Gguf   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/TheBloke/lince-zero-GGUF 

Lince Zero GGUF Benchmarks

LLME Score: 0.13418
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Lince Zero GGUF (TheBloke/lince-zero-GGUF)

Lince Zero GGUF Parameters and Internals

Model Type 
falcon, causal decoder-only, language model, instruction model
Use Cases 
Areas:
Direct Use, Downstream Use
Applications:
Virtual assistants, Content generation
Primary Use Cases:
Instruction following in Spanish
Limitations:
Should not be used for production purposes without risk assessment
Considerations:
Exercise caution and critically assess outputs.
Additional Notes 
Based on Falcon-7B, fine-tuned on translated and augmented datasets for Spanish instructions.
Supported Languages 
es (Spanish)
Training Details 
Data Sources:
Alpaca (translated), Dolly (translated)
Data Volume:
80k examples
Methodology:
Fine-tuning
Training Time:
8 hours
Hardware Used:
GPU A100 with 40 GB
Model Architecture:
Causal decoder-only based on Falcon-7B
LLM NameLince Zero GGUF
Repository 🤗https://huggingface.co/TheBloke/lince-zero-GGUF 
Model NameLince Zero
Model CreatorCliBrAIn
Base Model(s)  Lince Zero   clibrain/lince-zero
Required VRAM4.2 GB
Updated2025-02-22
MaintainerTheBloke
Model Typefalcon
Model Files  4.2 GB   4.6 GB   5.1 GB   5.5 GB   7.7 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/lince-zero-GGUF.

Rank the Lince Zero 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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Release v20241227
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