Qwen3.6-35B-A3B-Uncensored-Genesis-Hermes-V5-GGUF

⚡ Why Genesis project exists? Here link that explain everything. ⚡ https://web.tribute.tg/d/KIH ⚡ If you like this Genesis LLM release you can **donate** to me via @Tribute bot in Telegram messenger and support future Genesis LLM development. 🌟 Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive -> Genesis Hermes V3 Key diffrence is data reconstruction with noise supression in ssm_out.weight, attn_output.weight, attn_gate.weight, attn_qkv.weight, attn_q.weight, attn_k.weight, attn_v.weight tensors via SVD with preserved training data. Mine approach based on data reconstruction in model via mathematical statistics. I don't train models, I repair signal in them instead. I scan blocks in model via chunks via 3 parameters and pick best one that fits to weight distribution in tensor. Best picked chunk replaces zero chunks in broken tensor without touching learned structure. Scanning works on tensors with same name and shape. ssm_conv1d tensors are fixed per block. I scan all ssm_conv1d tensors weight and scale distribution and normalize scale for weights only for too loud tensors. Model is based on HauhauCS/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive base. And DJLougen/hermes-qwen3.5-35b-a3b-GGUF finetune for Hermes agent. **Join the Discord** for updates, roadmaps, projects, or just to chat. Base model. HauhauCS/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive- **0/465 refusals.** Thanks to HauhauCS Usage Ready to use.** Recommended quant: **APEX** or **Q8_K_P** Tensor drift repair by me. Method: **Genesis-SVD** Links:** Original uncensored model Quantization Script with Unsloth profiles support LLM models often have: **Saturated weights**: the model's activations are stuck, gradients vanish, outputs degrade. **Scale mismatches**: one layer's weights are 10× larger than its peers for no good reason. **Mean drift**: weight distributions shifted positive or negative, breaking symmetry assumptions. **Zero blocks**: zero blocks corrupt the signal, turning training into noise am