CarrotAI/Llama-3.2-Rabbit-Ko-1B-Instruct
Full fine-tune vs meta-llama/Llama-3.2-1B-Instruct. Fine-tune: 100% of the weights changed, across 16 of 16 layers.
Tensors changed: Embeddings 1/1, Norms 9/33, MLP 48/48, Attention 64/64
8 derivatives checked
- mradermacher/Llama-3.2-Rabbit-Ko-1B-Instruct-i1-GGUF: Quantization
- featherless-ai-quants/CarrotAI-Llama-3.2-Rabbit-Ko-1B-Instruct-GGUF: Quantization
- mradermacher/Llama-3.2-Rabbit-Ko-1B-Instruct-GGUF: Same weights, converted
- tensorblock/Llama-3.2-Rabbit-Ko-1B-Instruct-GGUF: Quantization
- Xiaojian9992024/Llama3.2-1B-THREADRIPPER: Full fine-tune
- Novaciano/GRONEKILLER_REBORN-3.2-1B: Full fine-tune
- mergekit-community/Llama3.1-1B-THREADRIPPER: Full fine-tune
- UmbrellaInc/Rotten.Rabbit-1B: Partial fine-tune