DavidAU/gemma-4-31B-it-Mystery-Fine-Tune-HERETIC-UNCENSORED-Thinking
LoRA-style vs google/gemma-4-31B-it. 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 60 of 60 layers; norms, biases and embeddings are untouched.
Tensors changed: Embeddings 0/4, Norms 0/523, other 0/62, MLP 180/261, Attention 230/338
7 derivatives checked
- DavidAU/gemma-4-31B-it-Mystery-Fine-Tune-HERETIC-UNCENSORED-Thinking-Instruct-GGUF: Quantization (fewer layers)
- mradermacher/gemma-4-31B-it-Mystery-Fine-Tune-HERETIC-UNCENSORED-Thinking-i1-GGUF: Quantization (fewer layers)
- Jackxuanxuan/gemma-4-31B-it-Mystery-Fine-Tune-HERETIC-UNCENSORED-Thinking-i1-GGUF: Quantization (fewer layers)
- mradermacher/gemma-4-31B-it-Mystery-Fine-Tune-HERETIC-UNCENSORED-Thinking-GGUF: Quantization (fewer layers)
- Jackxuanxuan/gemma-4-31B-it-Mystery-Fine-Tune-HERETIC-UNCENSORED-Thinking-GGUF: Quantization (fewer layers)
- lactroiii/gemma-4-31B-it-Mystery-Fine-Tune-HERETIC-UNCENSORED-Thinking-Instruct-GGUF: Quantization (fewer layers)
- Jackxuanxuan/gemma-4-31B-it-Mystery-Fine-Tune-HERETIC-UNCENSORED-Thinking-Instruct-GGUF: Quantization (fewer layers)
2 other repos hold byte-for-byte identical weight files.