chore(model gallery): add pictor-1338-qwenp-1.5b

gallery/index.yaml

@@ -18,7 +18,7 @@
     - gemma3
     - gemma-3
   overrides:
     #mmproj: gemma-3-27b-it-mmproj-f16.gguf
     parameters:
       model: gemma-3-27b-it-Q4_K_M.gguf
   files:
@@ -36,7 +36,7 @@
   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:
@@ -54,7 +54,7 @@
   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:
@@ -2775,7 +2775,7 @@
       sha256: b9f01bead9e163db9351af036d8d63ef479d7d48a1bb44934ead732a180f371c
       uri: huggingface://bartowski/Menlo_ReZero-v0.1-llama-3.2-3b-it-grpo-250404-GGUF/Menlo_ReZero-v0.1-llama-3.2-3b-it-grpo-250404-Q4_K_M.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
@@ -4736,7 +4736,7 @@
       sha256: 0fec82625f74a9a340837de7af287b1d9042e5aeb70cda2621426db99958b0af
       uri: huggingface://bartowski/Chuluun-Qwen2.5-72B-v0.08-GGUF/Chuluun-Qwen2.5-72B-v0.08-Q4_K_M.gguf
 - &smollm
   url: "github:mudler/LocalAI/gallery/chatml.yaml@master" ## SmolLM
   name: "smollm-1.7b-instruct"
   icon: https://huggingface.co/datasets/HuggingFaceTB/images/resolve/main/banner_smol.png
   tags:
@@ -6071,8 +6071,40 @@
     - filename: Qwen2.5-14B-Instruct-1M-Q4_K_M.gguf
       sha256: a1a0fa3e2c3f9d63f9202af9172cffbc0b519801dff740fffd39f6a063a731ef
       uri: huggingface://bartowski/Qwen2.5-14B-Instruct-1M-GGUF/Qwen2.5-14B-Instruct-1M-Q4_K_M.gguf
+- !!merge <<: *qwen25
+  name: "pictor-1338-qwenp-1.5b"
+  icon: https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/X7zeHYbH5Y5JoRK_ud_Ya.png
+  urls:
+    - https://huggingface.co/prithivMLmods/Pictor-1338-QwenP-1.5B
+    - https://huggingface.co/adriey/Pictor-1338-QwenP-1.5B-Q8_0-GGUF
+  description: |
+    Pictor-1338-QwenP-1.5B is a code reasoning LLM fine-tuned from Qwen-1.5B using distributed reinforcement learning (RL). This model is designed to enhance coding proficiency, debugging accuracy, and step-by-step reasoning in software development tasks across multiple programming languages.
+
+    Key Features
+
+        Code Reasoning & Explanation
+        Trained to analyze, generate, and explain code with a focus on logic, structure, and clarity. Supports functional, object-oriented, and procedural paradigms.
+
+        Reinforcement Learning Fine-Tuning
+        Enhanced using distributed RL, improving reward-aligned behavior in tasks like fixing bugs, completing functions, and understanding abstract instructions.
+
+        Multi-Language Support
+        Works fluently with Python, JavaScript, C++, and Shell, among others—ideal for general-purpose programming, scripting, and algorithmic tasks.
+
+        Compact and Efficient
+        At just 1.5B parameters, it's lightweight enough for edge deployments and developer tools with strong reasoning capability.
+
+        Debugging and Auto-Fix Capabilities
+        Built to identify bugs, recommend corrections, and provide context-aware explanations of issues in codebases.
+  overrides:
+    parameters:
+      model: pictor-1338-qwenp-1.5b-q8_0.gguf
+  files:
+    - filename: pictor-1338-qwenp-1.5b-q8_0.gguf
+      sha256: 22d2f5b2322d9a354d8578475a6924c2173a913a1e2fa0ec2655f2f5937f6f26
+      uri: huggingface://adriey/Pictor-1338-QwenP-1.5B-Q8_0-GGUF/pictor-1338-qwenp-1.5b-q8_0.gguf
 - &llama31
   url: "github:mudler/LocalAI/gallery/llama3.1-instruct.yaml@master" ## LLama3.1
   icon: https://avatars.githubusercontent.com/u/153379578
   name: "meta-llama-3.1-8b-instruct"
   license: llama3.1