chore(model gallery): 🤖 add 1 new models via gallery agent

gallery/index.yaml

@@ -3127,7 +3127,7 @@
     - gemma3
     - gemma-3
   overrides:
     #mmproj: gemma-3-27b-it-mmproj-f16.gguf
     parameters:
       model: gemma-3-27b-it-Q4_K_M.gguf
   files:
@@ -3145,7 +3145,7 @@
   description: |
     google/gemma-3-12b-it is an open-source, state-of-the-art, lightweight, multimodal model built from the same research and technology used to create the Gemini models. It is capable of handling text and image input and generating text output. It has a large context window of 128K tokens and supports over 140 languages. The 12B variant has been fine-tuned using the instruction-tuning approach. Gemma 3 models are suitable for a variety of text generation and image understanding tasks, including question answering, summarization, and reasoning. Their relatively small size makes them deployable in environments with limited resources such as laptops, desktops, or your own cloud infrastructure.
   overrides:
     #mmproj: gemma-3-12b-it-mmproj-f16.gguf
     parameters:
       model: gemma-3-12b-it-Q4_K_M.gguf
   files:
@@ -3163,7 +3163,7 @@
   description: |
     Gemma is a family of lightweight, state-of-the-art open models from Google, built from the same research and technology used to create the Gemini models. Gemma 3 models are multimodal, handling text and image input and generating text output, with open weights for both pre-trained variants and instruction-tuned variants. Gemma 3 has a large, 128K context window, multilingual support in over 140 languages, and is available in more sizes than previous versions. Gemma 3 models are well-suited for a variety of text generation and image understanding tasks, including question answering, summarization, and reasoning. Their relatively small size makes it possible to deploy them in environments with limited resources such as laptops, desktops or your own cloud infrastructure, democratizing access to state of the art AI models and helping foster innovation for everyone. Gemma-3-4b-it is a 4 billion parameter model.
   overrides:
     #mmproj: gemma-3-4b-it-mmproj-f16.gguf
     parameters:
       model: gemma-3-4b-it-Q4_K_M.gguf
   files:
@@ -6781,7 +6781,7 @@
       sha256: 2756551de7d8ff7093c2c5eec1cd00f1868bc128433af53f5a8d434091d4eb5a
       uri: huggingface://Triangle104/Nano_Imp_1B-Q8_0-GGUF/nano_imp_1b-q8_0.gguf
 - &qwen25
   name: "qwen2.5-14b-instruct" ## Qwen2.5
   icon: https://avatars.githubusercontent.com/u/141221163
   url: "github:mudler/LocalAI/gallery/chatml.yaml@master"
   license: apache-2.0
@@ -22721,3 +22721,41 @@
     - filename: ChemDFM-R-14B.i1-Q4_K_M.gguf
       sha256: c5090dd547154712865fa26389790cad93f23a7b5cba90f5efc8b667ad61cd06
       uri: huggingface://mradermacher/ChemDFM-R-14B-i1-GGUF/ChemDFM-R-14B.i1-Q4_K_M.gguf
+- !!merge <<: *qwen3
+  name: "qwen3-deckard-large-almost-human-6b-iii-160-omega"
+  urls:
+    - https://huggingface.co/mradermacher/Qwen3-Deckard-Large-Almost-Human-6B-III-160-OMEGA-GGUF
+  description: |
+    **Model Name:** Qwen3-Deckard-Large-Almost-Human-6B-III-160-OMEGA
+    **Base Model:** Qwen3-Jan-v1-256k-ctx-6B-Brainstorm20x
+    **Repository:** [DavidAU/Qwen3-Deckard-Large-Almost-Human-6B-III-160-OMEGA](https://huggingface.co/DavidAU/Qwen3-Deckard-Large-Almost-Human-6B-III-160-OMEGA)
+
+    **Description:**
+    A highly refined, large-scale fine-tuned version of Qwen3-6B, trained on an in-house dataset inspired by the works of Philip K. Dick. This model is part of the "Deckard" series, emphasizing deep reasoning, creative narrative, and human-like prose. Leveraging the innovative *Brainstorm 20x* training process, it enhances conceptual depth, coherence, and emotional engagement while maintaining strong instruction-following capabilities.
+
+    Optimized for long-context tasks (up to 256k tokens), it excels in code generation, creative writing, brainstorming, and complex reasoning. The model features a "heavy" fine-tuning (13% of parameters trained, 2x training duration) and includes an additional dataset of biographical and personal writings to restore narrative depth and authenticity.
+
+    **Key Features:**
+    - Trained using the *Brainstorm 20x* method for enhanced reasoning and narrative quality
+    - Supports 256k context length
+    - Ideal for creative writing, code generation, and step-by-step problem solving
+    - Fully compatible with GGUF, GPTQ, EXL2, AWQ, and HQQ formats
+    - Requires Jinja or CHATML template
+
+    **Use Case Highlights:**
+    - Long-form storytelling & worldbuilding
+    - Advanced coding with detailed reasoning
+    - Thoughtful brainstorming and idea development
+    - Roleplay and narrative-driven interaction
+
+    **Note:** The quantized version by mradermacher (e.g., `Qwen3-Deckard-Large-Almost-Human-6B-III-160-OMEGA-GGUF`) is derived from this source. For the full, unquantized model and best performance, use the original repository.
+
+    **License:** Apache 2.0
+    **Tags:** #Qwen3 #CodeGeneration #CreativeWriting #Brainstorm20x #PhilipKDick #LongContext #LLM #FineTuned #InstructModel
+  overrides:
+    parameters:
+      model: Qwen3-Deckard-Large-Almost-Human-6B-III-160-OMEGA.Q4_K_M.gguf
+  files:
+    - filename: Qwen3-Deckard-Large-Almost-Human-6B-III-160-OMEGA.Q4_K_M.gguf
+      sha256: c6c9c03e771edfb68d5eab82a3324e264e53cf1bcf9b80ae3f04bc94f57b1d7f
+      uri: huggingface://mradermacher/Qwen3-Deckard-Large-Almost-Human-6B-III-160-OMEGA-GGUF/Qwen3-Deckard-Large-Almost-Human-6B-III-160-OMEGA.Q4_K_M.gguf