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anudaw_-_distilled-finetuned-code-llama-4bits – AI Model by RichardErkhov | AlphaNeural AI
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distilled-finetuned-code-llama - bnb 4bits
Model creator:
https://huggingface.co/anudaw/
Original model:
https://huggingface.co/anudaw/distilled-finetuned-code-llama/
Original model description:
license: apache-2.0 base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0 tags:
trl
sft
generated_from_trainer model-index:
name: distilled-code-llama results: []
distilled-code-llama
This model is a fine-tuned version of
TinyLlama/TinyLlama-1.1B-Chat-v1.0
on an unknown 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: 2e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 32
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.03
num_epochs: 6
Framework versions
Transformers 4.40.1
Pytorch 2.3.0+cu121
Datasets 2.19.0
Tokenizers 0.19.1
