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YarnGPT2b by saheedniyi

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YarnGPT2b is an open-source language model by saheedniyi. Features: 360m LLM, VRAM: 0.7GB, Context: 8K, License: apache-2.0, LLM Explorer Score: 0.18.

Base model:finetune:huggingfac... Base model:huggingfacetb/smoll...   En   Endpoints compatible   Llama   Region:us   Safetensors   Text-to-speech
Model Card on HF 🤗: https://huggingface.co/saheedniyi/YarnGPT2b 

YarnGPT2b Benchmarks

LLME Score: 0.18406
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
YarnGPT2b (saheedniyi/YarnGPT2b)
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YarnGPT2b Parameters and Internals

LLM NameYarnGPT2b
Repository 🤗https://huggingface.co/saheedniyi/YarnGPT2b 
Base Model(s)  SmolLM2 360M   HuggingFaceTB/SmolLM2-360M
Model Size360m
Required VRAM0.7 GB
Updated2026-04-30
Maintainersaheedniyi
Model Typellama
Model Files  0.7 GB
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.48.2
Tokenizer ClassGPT2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size53248
Torch Data Typebfloat16

Best Alternatives to YarnGPT2b

Best Alternatives
Context / RAM
Downloads
Likes
SmolLM2 360M Instruct8K / 0.7 GB383139185
Smollm3 720prms8K / 0.7 GB740
SmolLM2 360M8K / 0.7 GB6638691
Auto Completer 0.18K / 1.4 GB31
ProseFlow V1 360M Instruct8K / 0.7 GB151
YarnGPT28K / 0.7 GB39966
TwinSmolLM2 360M8K / 0.7 GB50
SmolLM2 Rethink 360M8K / 1.4 GB71
Smollm2 360M Sft SmallThoughts8K / 0.7 GB90
SolaraV2 Coder 05118K / 0.7 GB51
Note: green Score (e.g. "73.2") means that the model is better than saheedniyi/YarnGPT2b.

Rank the YarnGPT2b 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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