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Kurtis SmolLM2 360M Instruct DPO by ethicalabs

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  Autotrain compatible Base model:finetune:mrs83/kurt... Base model:mrs83/kurtis-smollm...   Conversational Dataset:mrs83/kurtis mental he...   En   Endpoints compatible   Instruct   Llama   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/ethicalabs/Kurtis-SmolLM2-360M-Instruct-DPO 

Kurtis SmolLM2 360M Instruct DPO Benchmarks

LLME Score: 0.29088
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Kurtis SmolLM2 360M Instruct DPO (ethicalabs/Kurtis-SmolLM2-360M-Instruct-DPO)

Kurtis SmolLM2 360M Instruct DPO Parameters and Internals

LLM NameKurtis SmolLM2 360M Instruct DPO
Repository 🤗https://huggingface.co/ethicalabs/Kurtis-SmolLM2-360M-Instruct-DPO 
Base Model(s)  Kurtis SmolLM2 360M Instruct   mrs83/Kurtis-SmolLM2-360M-Instruct
Model Size360m
Required VRAM1.4 GB
Updated2025-02-22
Maintainerethicalabs
Model Typellama
Instruction-BasedYes
Model Files  1.4 GB
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length8192
Model Max Length8192
Transformers Version4.47.0
Tokenizer ClassGPT2Tokenizer
Padding Token<|im_end|>
Vocabulary Size49152
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than ethicalabs/Kurtis-SmolLM2-360M-Instruct-DPO.

Rank the Kurtis SmolLM2 360M Instruct DPO 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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Release v20241227
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