prithivMLmods/Llama-Deepsync-3B
LoRA-style vs prithivMLmods/Codepy-Deepthink-3B. Looks like a merged LoRA (or a fine-tune with frozen norms): only the weight matrices of down_proj, gate_proj, k_proj, o_proj, q_proj, up_proj, v_proj changed, in 28 of 28 layers; norms, biases and embeddings are untouched.
Tensors changed: Embeddings 0/1, Norms 0/57, MLP 84/84, Attention 112/112
7 derivatives checked
- bartowski/Llama-Deepsync-3B-GGUF: Same weights, converted
- mradermacher/Llama-Deepsync-3B-i1-GGUF: Quantization
- prithivMLmods/Llama-Deepsync-3B-GGUF: Same weights, converted
- mradermacher/Llama-Deepsync-3B-GGUF: Same weights, converted
- MaziyarPanahi/Llama-Deepsync-3B-GGUF: Same weights, converted
- prithivMLmods/Deepsync-240-GGUF: LoRA-style
- DevQuasar-6/prithivMLmods.Llama-Deepsync-3B-GGUF: Same weights, converted