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Supra Title 50M Pre by SupraLabs

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Supra Title 50M Pre is an open-source language model by SupraLabs. Features: 50m LLM, VRAM: 0.1GB, Context: 5K, License: apache-2.0, LLM Explorer Score: 0.27.

Base model:finetune:supralabs/... Base model:supralabs/supra-1.5...   Chat   Chat-title Dataset:supralabs/chat-titles-... Dataset:supralabs/supra-wild-t...   En   Llama   Region:us   Safetensors   Title   Title-generation   Title generator   Topic-maker   Topics
Model Card on HF 🤗: https://huggingface.co/SupraLabs/supra-title-50m-pre 

Supra Title 50M Pre Benchmarks

LLME Score: 0.26646
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Supra Title 50M Pre (SupraLabs/supra-title-50m-pre)
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Supra Title 50M Pre Parameters and Internals

LLM NameSupra Title 50M Pre
Repository 🤗https://huggingface.co/SupraLabs/supra-title-50m-pre 
Base Model(s)  SupraLabs/Supra-1.5-50M-Base-exp   SupraLabs/Supra-1.5-50M-Base-exp
Model Size50m
Required VRAM0.1 GB
Updated2026-06-21
MaintainerSupraLabs
Model Typellama
Model Files  0.1 GB   0.0 GB
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length5120
Model Max Length5120
Transformers Version5.8.1
Tokenizer ClassTokenizersBackend
Padding Token<pad>
Vocabulary Size32000

Best Alternatives to Supra Title 50M Pre

Best Alternatives
Context / RAM
Downloads
Likes
Nyun C2 Llama3 50B8K / 100.8 GB2211
Quark 50M2K / 0.1 GB25264
Quark 50M Instruct2K / 0.1 GB9462
Tf3 50M Base2K / 0.2 GB120
Supra 50M Reasoning1K / 0.1 GB358
Supra 50M Instruct ONNX1K /  GB803
Supra 50M Base1K / 0.2 GB03
Toyllama 50M0.3K / 0.2 GB110
Supra 50M Instruct1K / 0.1 GB838035
Note: green Score (e.g. "73.2") means that the model is better than SupraLabs/supra-title-50m-pre.

Rank the Supra Title 50M Pre 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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