SmolLM Pretrained With Sft Trained With 1pc Data On A Preference DPO by SeppeV

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Base model:finetune:huggingfac... Base model:huggingfacetb/smoll...   Instruct   Llama   Region:us   Safetensors

SmolLM Pretrained With Sft Trained With 1pc Data On A Preference DPO Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SmolLM Pretrained With Sft Trained With 1pc Data On A Preference DPO (SeppeV/SmolLM_pretrained_with_sft_trained_with_1pc_data_on_a_preference_dpo)

SmolLM Pretrained With Sft Trained With 1pc Data On A Preference DPO Parameters and Internals

LLM NameSmolLM Pretrained With Sft Trained With 1pc Data On A Preference DPO
Repository ๐Ÿค—https://huggingface.co/SeppeV/SmolLM_pretrained_with_sft_trained_with_1pc_data_on_a_preference_dpo 
Base Model(s)  SmolLM 135M Instruct   HuggingFaceTB/SmolLM-135M-Instruct
Model Size135m
Required VRAM0.3 GB
Updated2025-02-22
MaintainerSeppeV
Model Typellama
Instruction-BasedYes
Model Files  0.3 GB   0.0 GB
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.44.0
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 SeppeV/SmolLM_pretrained_with_sft_trained_with_1pc_data_on_a_preference_dpo.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227