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Smol Hub Tldr by davanstrien

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Smol Hub Tldr is an open-source language model by davanstrien. Features: 360m LLM, VRAM: 0.7GB, Context: 8K, License: mit, LLM Explorer Score: 0.18.

Base model:finetune:huggingfac... Base model:huggingfacetb/smoll...   Conversational Dataset:davanstrien/hub-tldr-d... Dataset:davanstrien/hub-tldr-m...   Doi:10.57967/hf/5664   Endpoints compatible   Generated from trainer   Llama   Region:us   Safetensors   Sft   Tensorboard   Trl
Model Card on HF 🤗: https://huggingface.co/davanstrien/Smol-Hub-tldr 

Smol Hub Tldr Benchmarks

LLME Score: 0.17875
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Smol Hub Tldr (davanstrien/Smol-Hub-tldr)
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Smol Hub Tldr Parameters and Internals

LLM NameSmol Hub Tldr
Repository 🤗https://huggingface.co/davanstrien/Smol-Hub-tldr 
Model NameSmolLM2-360M-tldr-sft-2025-02-12_15-13
Base Model(s)  SmolLM2 360M   HuggingFaceTB/SmolLM2-360M
Model Size360m
Required VRAM0.7 GB
Updated2026-05-10
Maintainerdavanstrien
Model Typellama
Model Files  0.7 GB   0.0 GB
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length8192
Model Max Length8192
Transformers Version4.52.3
Tokenizer ClassGPT2Tokenizer
Padding Token[PAD]
Vocabulary Size49159
Torch Data Typebfloat16

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SmolLM2 360M Instruct8K / 0.7 GB179844186
Smollm3 720prms8K / 0.7 GB740
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Auto Completer 0.18K / 1.4 GB71
ProseFlow V1 360M Instruct8K / 0.7 GB131
YarnGPT28K / 0.7 GB39966
TwinSmolLM2 360M8K / 0.7 GB50
SmolLM2 360M Instruct8K / 0.7 GB118934
SmolLM2 Rethink 360M8K / 1.4 GB71
Smollm2 360M Sft SmallThoughts8K / 0.7 GB120
Note: green Score (e.g. "73.2") means that the model is better than davanstrien/Smol-Hub-tldr.

Rank the Smol Hub Tldr 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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