Azure99/Blossom-V6.2-14B
LoRA-style vs Qwen/Qwen3-14B-Base. 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 40 of 40 layers; norms, biases and embeddings are untouched.
Tensors changed: Embeddings 0/1, Norms 0/161, MLP 120/120, Attention 160/160, lm_head 0/1
3 derivatives checked
- mradermacher/Blossom-V6.2-14B-i1-GGUF: Quantization
- mradermacher/Blossom-V6.2-14B-GGUF: Quantization
- Azure99/Blossom-V6.2-14B-GGUF: Same weights, converted
1 other repos hold byte-for-byte identical weight files.