tanamettpk/TC-instruct-DPO
LoRA-style vs typhoon-ai/typhoon-7b. 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 32 of 32 layers; norms, biases and embeddings are untouched.
Tensors changed: Embeddings 0/1, Norms 0/65, MLP 96/96, Attention 128/128, lm_head 0/1
3 derivatives checked
- pek111/TC-instruct-DPO-GGUF: Same weights, converted
- mradermacher/TC-instruct-DPO-GGUF: Same weights, converted
- tensorblock/tanamettpk_TC-instruct-DPO-GGUF: Quantization