Lathly/Qwen3.8-27B-Samantha
LoRA-style vs Qwen/Qwen3.8-27B. 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 63 of 64 layers; norms, biases and embeddings are untouched.
Tensors changed: Norms 0/325, Attention 64/560, MLP 192/307, Embeddings 0/5, lm_head 0/1, other 0/1
3 derivatives checked
- mradermacher/Qwen3.8-27B-Samantha-i1-GGUF: Quantization
- mradermacher/Qwen3.8-27B-Samantha-GGUF: Quantization
- Lathly/Qwen3.8-27B-Samantha-GGUF: Same weights, converted