Lince Zero by clibrain

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  Arxiv:1910.09700   Autotrain compatible   Custom code   Es   Falcon   Pytorch   Region:us   Sharded
Model Card on HF ๐Ÿค—: https://huggingface.co/clibrain/lince-zero 

Lince Zero Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Lince Zero Parameters and Internals

Model Type 
Language model, instruction model, causal decoder-only
Use Cases 
Areas:
Research, Commercial applications
Applications:
Virtual assistants, Content generation
Primary Use Cases:
Following natural language instructions in Spanish
Limitations:
Not ideal for further fine-tuning without domain-specific data, Should not be used for production without risk assessment
Supported Languages 
es (NLP)
Training Details 
Data Sources:
Falcon-7B, 80k examples proprietary dataset inspired by Alpaca and Dolly
Methodology:
Fine-tuned
Training Time:
8h
Hardware Used:
1 X A100 - 40 GB
Model Architecture:
Causal decoder-only model based on the Falcon-7B architecture, modified from the GPT-3 paper
Responsible Ai Considerations 
Mitigation Strategies:
Conduct a comprehensive assessment to address potential biases and ensure compliance with legal and ethical standards
Input Output 
Accepted Modalities:
Text
LLM NameLince Zero
Repository ๐Ÿค—https://huggingface.co/clibrain/lince-zero 
Required VRAM13.8 GB
Updated2025-06-09
Maintainerclibrain
Model Typefalcon
Model Files  9.9 GB: 1-of-2   3.9 GB: 2-of-2
Supported Languageses
Model ArchitectureFalconForCausalLM
Licenseapache-2.0
Model Max Length2048
Transformers Version4.27.4
Is Biased0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size65024
Torch Data Typebfloat16
Lince Zero (clibrain/lince-zero)

Quantized Models of the Lince Zero

Model
Likes
Downloads
VRAM
Lince Zero GGUF2334 GB
Lince Zero GPTQ1194 GB

Best Alternatives to Lince Zero

Best Alternatives
Context / RAM
Downloads
Likes
Really Tiny Falcon Testing2K / 0 GB211
Tiny Random FalconForCausalLM0.5K / 0 GB6890
Try2 Deploy Falcon0K / 13.8 GB140
ChatLM0K / 5.2 GB262
Note: green Score (e.g. "73.2") means that the model is better than clibrain/lince-zero.

Rank the Lince Zero 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 v20241124