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SmolLM2 360M Rickified by qgallouedec

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SmolLM2 360M Rickified is an open-source language model by qgallouedec. Features: 360m LLM, VRAM: 1.4GB, Context: 8K, LLM Explorer Score: 0.19.

  Autotrain compatible Base model:finetune:huggingfac... Base model:huggingfacetb/smoll...   Conversational Dataset:qgallouedec/rick-scien...   Endpoints compatible   Generated from trainer   Llama   Region:us   Safetensors   Sft   Trl
Model Card on HF 🤗: https://huggingface.co/qgallouedec/SmolLM2-360M-Rickified 

SmolLM2 360M Rickified Benchmarks

LLME Score: 0.19452
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SmolLM2 360M Rickified (qgallouedec/SmolLM2-360M-Rickified)
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SmolLM2 360M Rickified Parameters and Internals

LLM NameSmolLM2 360M Rickified
Repository 🤗https://huggingface.co/qgallouedec/SmolLM2-360M-Rickified 
Model NameSmolLM2-360M-Rickified
Base Model(s)  SmolLM2 360M   HuggingFaceTB/SmolLM2-360M
Model Size360m
Required VRAM1.4 GB
Updated2025-09-23
Maintainerqgallouedec
Model Typellama
Model Files  1.4 GB   0.0 GB
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.52.0.dev0
Tokenizer ClassGPT2Tokenizer
Vocabulary Size49152
Torch Data Typefloat32

Best Alternatives to SmolLM2 360M Rickified

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SmolLM2 360M Instruct8K / 0.7 GB446881185
Smollm3 720prms8K / 0.7 GB460
SmolLM2 360M8K / 0.7 GB6819691
Auto Completer 0.18K / 1.4 GB31
ProseFlow V1 360M Instruct8K / 0.7 GB80
TwinSmolLM2 360M8K / 0.7 GB50
SmolLM2 Rethink 360M8K / 1.4 GB71
Smollm2 360M Sft SmallThoughts8K / 0.7 GB50
SolaraV2 Coder 05118K / 0.7 GB51
BrainrotLM Assistant 362M8K / 0 GB70
Note: green Score (e.g. "73.2") means that the model is better than qgallouedec/SmolLM2-360M-Rickified.

Rank the SmolLM2 360M Rickified 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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