From d96ba6ecca74f878dd7d4abebf9a2b95a8ee2fac Mon Sep 17 00:00:00 2001
From: mudler <2420543+mudler@users.noreply.github.com>
Date: Tue, 28 Oct 2025 21:19:22 +0000
Subject: [PATCH] chore(model gallery): :robot: add new models via gallery
 agent

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
---
 gallery/index.yaml | 28 ++++++++++++++++++++++++++++
 1 file changed, 28 insertions(+)

diff --git a/gallery/index.yaml b/gallery/index.yaml
index c8d2218024ae..15974ea61a6f 100644
--- a/gallery/index.yaml
+++ b/gallery/index.yaml
@@ -22859,3 +22859,31 @@
   overrides:
     parameters:
       model: mradermacher/DeepKAT-32B-i1-GGUF
+- !!merge <<: *qwen25
+  name: "qwen-capybara-medium"
+  urls:
+    - https://huggingface.co/evalstate/qwen-capybara-medium-gguf
+  description: |
+    **Qwen2.5-0.5B (Base Model)**
+    *By Qwen Team | Hugging Face*
+
+    A compact yet powerful foundation language model from the Qwen2.5 series, designed for efficiency and performance. With 0.49 billion parameters, it offers strong reasoning, coding, and mathematical capabilities, enhanced by specialized training in structured data understanding and long-context generation (up to 32,768 tokens). Features include:
+
+    - **Architecture**: Causal Transformer with RoPE, SwiGLU, RMSNorm, and GQA (Grouped Query Attention)
+    - **Context Length**: 32,768 tokens (supports long-form content generation up to 8K tokens)
+    - **Multilingual**: Supports over 29 languages including Chinese, English, French, Japanese, and Arabic
+    - **Training Stage**: Pretrained (intended for fine-tuning via SFT, RLHF, or continued pretraining)
+    - **Best For**: Developers and researchers seeking a lightweight, high-performance base model for downstream tasks.
+
+    > ✅ *Not recommended for direct chat use — ideal for fine-tuning and research.*
+    > 🔗 [Official Blog](https://qwenlm.github.io/blog/qwen2.5/) | [Documentation](https://qwen.readthedocs.io/en/latest/) | [GitHub](https://github.com/QwenLM/Qwen2.5)
+    > 📝 *Cite: @misc{qwen2.5, ...*
+
+    **Note**: The model hosted at `evalstate/qwen-capybara-medium-gguf` is a *quantized GGUF conversion* of a LoRA-finetuned version of this base model. The original base model remains unquantized and is maintained by the official Qwen team.
+  overrides:
+    parameters:
+      model: qwen-capybara-medium-q4_k_m.gguf
+  files:
+    - filename: qwen-capybara-medium-q4_k_m.gguf
+      sha256: aeecc1f1fa4adaac10ee09f946181cf3ce62855685fc1b2b6c4be4085dea7e47
+      uri: huggingface://evalstate/qwen-capybara-medium-gguf/qwen-capybara-medium-q4_k_m.gguf