Octen/Octen-Embedding-0.6B
Full fine-tune vs Qwen/Qwen3-Embedding-0.6B. Fine-tune: 100% of the weights changed, across 28 of 28 layers.
Tensors changed: Embeddings 1/1, Norms 113/113, MLP 84/84, Attention 112/112
7 derivatives checked
- mradermacher/Octen-Embedding-0.6B-i1-GGUF: Quantization
- ENOSYS/Octen-Embedding-0.6B-750-v1-GGUF: Quantization
- mradermacher/Octen-Embedding-0.6B-GGUF: Same weights, converted
- cstr/octen-0.6b-GGUF: Quantization
- litillabs/litil-embed-0.6b: LoRA-style
- mykor/Octen-Embedding-0.6B-GGUF: Same weights, converted
- rsl-ai/octen-embedding-0.6-finetuned: Partial fine-tune