Qwen3.6 35B A3B Uncensored Genesis Hermes V2 GGUF
> ⚡ ⚡ If you like this Genesis LLM release you can donate to me via @Tribute bot in Telegram messenger and support future Genesis LLM development.
Fuente del modelo
- Tipo
- Other
- Tamaño del archivo
- 858 MB–16,1 GB
- Modelo base
- HauhauCS/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive
- Versión
- vRevision 3c63950
- Actualizado
- 18 sept 2026
- Descargas
- 70
- Fuente
- Hugging Face
Extracto de la fuente
⚡ ⚡ If you like this Genesis LLM release you can donate to me via @Tribute bot in Telegram messenger and support future Genesis LLM development.
Fuentes
1 fuente
Fuentes
1 fuenteVerificado 3 sept
Artefactos del modelo
2 artefactos
Artefactos del modelo
2 artefactosExtractos de fuentes
2 extractos
Extractos de fuentes
2 extractos--- license: apache-2.0 tags: - uncensored - qwen3.6 - moe - gguf - vision - multimodal - genesis - hermes - agentic language: - en - zh - multilingual datasets: - NousResearch/hermes-function-calling-v1 pipeline_tag: image-text-to-text base_model: - HauhauCS/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive --- > ⚡ [https://web.tribute.tg/d/KIH](https://web.tribute.tg/d/KIH) ⚡ If you like this Genesis LLM release you can [**donate**](https://web.tribute.tg/d/KIH) to me via [@Tribute](https://t.me/tribute) bot in Telegram messenger and support future Genesis LLM development. # 🌟 Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive -> Genesis Hermes V2 > Key diffrence from previous V1 release is data reconstruction with noise supression in ssm_out.weight, attn_output.weight and attn_gate.weight tensors via SVD. > Mine approach based on data reconstruction in model via mathematical statistics. 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 via alpha multiply for full tensor. 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](https://huggingface.co/HauhauCS/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive) base. And [DJLougen/hermes-qwen3.5-35b-a3b-GGUF](https://huggingface.co/DJLougen/hermes-qwen3.5-35b-a3b-GGUF) finetune for Hermes agent. > **[Join the Discord](https://discord.gg/SZ5vacTXYf)** for updates, roadmaps, projects, or just to chat. Base model. [HauhauCS/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive](https://huggingface.co/HauhauCS/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive)- **0/465 refusals.** Thanks to [HauhauCS](https://huggingface.co/HauhauCS) ## Usage **Ready to use.** Recommended quant: **APEX** or **Q8_K_P** Tensor drift repair by me. Method: **Sig-ScaleSync-Genesis-SVD** <details> ## Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive: Diagnostic & Repair Summary | Metric | Value | |--------|-------| | Weight tensors analyzed | 500 | | Healthy (all criteria) | 497 | | Repaired (C2 – scale misalignment) | 3 | | Skipped | 233 | ### Repair Effectiveness | Me...
Source context: 70 downloads · 0 likes · Pipeline image-text-to-text · Library hermes · Repo abobeba/Qwen3.6-35B-A3B-Uncensored-Genesis-Hermes-V2-GGUF
