DavidAU/Qwen3.5-2B-Claude-4.6-OS-Auto-Variable-HERETIC-UNCENSORED-THINKING
LoRA-style vs Qwen/Qwen3.5-2B. Looks like a merged LoRA (or a fine-tune with frozen norms): only the weight matrices of down_proj, gate_proj, in_proj_a, in_proj_b, in_proj_qkv, in_proj_z, k_proj, o_proj, out_proj, q_proj, up_proj, v_proj changed, in 24 of 24 layers; norms, biases and embeddings are untouched.
Tensors changed: Attention 114/264, Norms 0/177, Embeddings 0/4, MLP 72/172
3 derivatives checked
- mradermacher/Qwen3.5-2B-Claude-4.6-OS-Auto-Variable-HERETIC-UNCENSORED-THINKING-GGUF: Same weights, converted
- mradermacher/Qwen3.5-2B-Claude-4.6-OS-Auto-Variable-HERETIC-UNCENSORED-THINKING-i1-GGUF: Quantization
- WineryLabs/Winery-Qwen3.5-2B-GrandCru-GGUF: Full fine-tune
2 other repos hold byte-for-byte identical weight files.