Lince Zero By clibrain: Benchmarks, Features and Detailed Analysis. Insights on Lince Zero.

Arxiv:1910.09700 Autotrain compatible Custom code Es Falcon Pytorch Region:us Sharded

Model Card on HF 🤗: https://huggingface.co/clibrain/lince-zero

Lince Zero Benchmarks

LLME Score: 0.11981

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

What is the LLM Explorer Rank (Score)

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:

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 Name	Lince Zero
Repository 🤗	https://huggingface.co/clibrain/lince-zero
Required VRAM	13.8 GB
Updated	2025-02-22
Maintainer	clibrain
Model Type	falcon
Model Files	9.9 GB: 1-of-2 3.9 GB: 2-of-2
Supported Languages	es
Model Architecture	FalconForCausalLM
License	apache-2.0
Model Max Length	2048
Transformers Version	4.27.4
Is Biased	0
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	65024
Torch Data Type	bfloat16

Quantized Models of the Lince Zero

Model	Likes	Downloads	VRAM
Lince Zero GGUF	2	47	4 GB
Lince Zero GPTQ	1	9	4 GB

Best Alternatives to Lince Zero

Best Alternatives	Context / RAM	Downloads	Likes
Really Tiny Falcon Testing	2K / 0 GB	47	1
Tiny Random FalconForCausalLM	0.5K / 0 GB	15795	0
Try2 Deploy Falcon	0K / 13.8 GB	5	0
ChatLM	0K / 5.2 GB	232	2

Note: green Score (e.g. "73.2") means that the model is better than clibrain/lince-zero.

Rank the Lince Zero Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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 v20241227

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