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Gemma3NPC-filtered-Q4-GGUF
chimbiwide/Gemma3NPC-filtered-Q4-GGUF
Gemma3NPC-filtered-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-filtered-float16
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At a glance
- Library
- transformers
- License
- apache-2.0
- Access
- Public
- Created
- Aug 5, 2025
- Updated
- Aug 14, 2025
- SHA
- 258dc343
Base models
Datasets
Model card
From the Hugging Face model README
Gemma3NPC-filtered-Q4-GGUF
The "filtered" model that delivers censored general role-playing at great speed.
The Q4_K_M quantized version of Gemma3NPC-filtered-float16
We trained this model as a rank-12 LoRA adapter with one epoch over pippa_filtered 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 a 150-step warmup. With a gradient clipping of 0.5.
Check out our training notebook here.
Here is a graph of the Step Training Loss, saved every 5 steps:
- Library
- transformers
- License
- apache-2.0
- Languages
- en
- Created
- Aug 5, 2025
- Updated
- Aug 14, 2025