Really Tiny Falcon Testing by Xenova

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Really Tiny Falcon Testing is an open-source language model by Xenova. Features: LLM, Context: 2K, LLM Explorer Score: 0.1.

Base model:fxmarty/really-tiny... Base model:quantized:fxmarty/r...   Custom code   Endpoints compatible   Falcon   Onnx   Pytorch   Region:us   Transformers.js

Really Tiny Falcon Testing Benchmarks

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

Really Tiny Falcon Testing Parameters and Internals

Additional Notes 
The model includes ONNX weights to be compatible with Transformers.js. The separate repo for ONNX weights is a temporary solution meant to accommodate future WebML advancements.
LLM NameReally Tiny Falcon Testing
Repository 🤗https://huggingface.co/Xenova/really-tiny-falcon-testing 
Base Model(s)  Really Tiny Falcon Testing   fxmarty/really-tiny-falcon-testing
Required VRAM0 GB
Updated2026-05-15
MaintainerXenova
Model Typefalcon
Model Files  0.0 GB
Model ArchitectureFalconForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.34.1
Is Biased0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|endoftext|>
Vocabulary Size65024

Best Alternatives to Really Tiny Falcon Testing

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Tiny Random FalconForCausalLM0.5K / 0 GB740
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Lince Zero0K / 13.8 GB102548
ChatLM0K / 5.2 GB1002
Note: green Score (e.g. "73.2") means that the model is better than Xenova/really-tiny-falcon-testing.

Rank the Really Tiny Falcon Testing 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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Release v20260328a