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smol-ai-kano-edition – AI Model by rufatronics | AlphaNeural AI
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rufatronics
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smol-ai-kano-edition
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peft
safetensors
llama
text-generation
adapter
lora
transformers
conversational
HuggingFaceTB/SmolLM2-135M-Instruct
apache-2.0
text-generation-inference
endpoints_compatible
us
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Developed by rufatronics (Aga)
Ahmad Garba Adamu
smol-ai-kano-edition
This model is a fine-tuned version of
HuggingFaceTB/SmolLM2-135M-Instruct
on the None dataset.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 0.0002
train_batch_size: 4
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 15
Training results
Framework versions
PEFT 0.18.1
Transformers 5.0.0
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.2
