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Ramikan-BR/tinyllama-coder-py-v11
tinyllama-coder-py-v11 is a text generation model from Ramikan-BR. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
datasets: code.evol.instruct.wiz.osspython.json
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From the Hugging Face model README
datasets: code.evol.instruct.wiz.oss_python.json
==((====))== Unsloth - 2x faster free finetuning | Num GPUs = 1
\\ /| Num examples = 937 | Num Epochs = 2
O^O/ \_/ \ Batch size per device = 2 | Gradient Accumulation steps = 256
\ / Total batch size = 512 | Total steps = 2
"-____-" Number of trainable parameters = 201,850,880
[2/2 22:36, Epoch 1/2]
Step Training Loss
1 0.707400
2 0.717800
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.