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chimbiwide/Gemma3NPC-Q4-GGUF
Gemma3NPC-Q4-GGUF is a machine learning model from chimbiwide. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
The Q4KM quantized version of Gemma3NPC-Float16. We trained this model as a rank-16 LoRA adapter with one epoch over pippa using a 40GB vRAM A100 in Google Colab. For this run, we employed a learning rate of 2e-5 and…
Downloads · 30 days
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4% of all-time downloads
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From the Hugging Face model README
The Q4_K_M quantized version of Gemma3NPC-Float16.
We trained this model as a rank-16 LoRA adapter with one epoch over pippa using a 40GB vRAM A100 in Google Colab. For this run, we employed a learning rate of 2e-5 and a total batch size of 1 and gradient accumulation steps of 16. A cosine learning rate scheduler was used with an 800-step warmup. With a gradient clipping of 0.4.
Check out our training notebook here.
Here is a graph of the Step Training Loss, saved every 10 steps:
