sometimesanotion/Lamarck-14B-v0.7
Full fine-tune vs arcee-ai/Virtuoso-Small. Fine-tune: 100% of the weights changed, across 48 of 48 layers.
Tensors changed: Norms 97/97, MLP 144/144, Attention 336/336
11 derivatives checked
- bartowski/Lamarck-14B-v0.7-GGUF: Same weights, converted
- Sakalti/Saka-14B: Partial fine-tune
- mradermacher/Lamarck-14B-v0.7-i1-GGUF: Quantization
- mradermacher/Lamarck-14B-v0.7-GGUF: Quantization
- DevQuasar-9/sometimesanotion.Lamarck-14B-v0.7-GGUF: Same weights, converted
- mlx-community/Lamarck-14B-v0.7-4bit: Quantization
- suayptalha/Lamarckvergence-14B: Full fine-tune
- aixonlab/Zara-14b-v1.1: LoRA-style
- Sakalti/ultiima-14B-v0.4: Full fine-tune
- aixonlab/Zara-14b-v1: LoRA-style
- Sakalti/SakaSlerp-14B: Full fine-tune