diff --git a/gallery/index.yaml b/gallery/index.yaml
index c5ea08fd9..c118dea5a 100644
--- a/gallery/index.yaml
+++ b/gallery/index.yaml
@@ -54,47 +54,7 @@
   url: "github:mudler/LocalAI/gallery/virtual.yaml@master"
   urls:
     - https://huggingface.co/AngelSlim/Hy3-GGUF
-  description: |
-    中文 ｜ English
-
-    [](#license)
-      
-    [](https://huggingface.co/tencent/Hy3)
-      
-    [](https://modelscope.cn/models/Tencent-Hunyuan/Hy3)
-      
-    [](https://cnb.cool/ai-models/tencent/Hy3)
-      
-    [](https://ai.gitcode.com/tencent_hunyuan/Hy3)
-
-    🖥️ Official Website  |  
-    💬 GitHub
-
-    ## Table of Contents
-
-      - Model Introduction
-      - Stronger Agent Capabilities
-      - More Reliable Product Experiences
-      - Benchmark Appendix
-      - News
-      - Model Links
-      - Quickstart
-      - Deployment
-      - vLLM
-      - SGLang
-      - Finetuning
-      - RL Post-training
-      - Quantization
-      - License
-      - Contact Us
-
-    ## Model Introduction
-
-    **Hy3** is a 295B-parameter Mixture-of-Experts (MoE) model with 21B active parameters and 3.8B MTP layer parameters, developed by the Tencent Hy Team. Following the Hy3 Preview launch in late April, we gathered feedback from 50+ products and scaled up post-training with higher quality data. Today, we introduce Hy3, which outperforms similar-size models and rivals flagship open-source models with 2-5x parameters. It also shows significant gains in utility across various products and productivity tasks.
-
-    ## Stronger Agent Capabilities
-
-    ...
+  description: "中文 ｜ English\n\n[](#license)\n  \n[](https://huggingface.co/tencent/Hy3)\n  \n[](https://modelscope.cn/models/Tencent-Hunyuan/Hy3)\n  \n[](https://cnb.cool/ai-models/tencent/Hy3)\n  \n[](https://ai.gitcode.com/tencent_hunyuan/Hy3)\n\n\U0001F5A5️ Official Website  |  \n\U0001F4AC GitHub\n\n## Table of Contents\n\n  - Model Introduction\n  - Stronger Agent Capabilities\n  - More Reliable Product Experiences\n  - Benchmark Appendix\n  - News\n  - Model Links\n  - Quickstart\n  - Deployment\n  - vLLM\n  - SGLang\n  - Finetuning\n  - RL Post-training\n  - Quantization\n  - License\n  - Contact Us\n\n## Model Introduction\n\n**Hy3** is a 295B-parameter Mixture-of-Experts (MoE) model with 21B active parameters and 3.8B MTP layer parameters, developed by the Tencent Hy Team. Following the Hy3 Preview launch in late April, we gathered feedback from 50+ products and scaled up post-training with higher quality data. Today, we introduce Hy3, which outperforms similar-size models and rivals flagship open-source models with 2-5x parameters. It also shows significant gains in utility across various products and productivity tasks.\n\n## Stronger Agent Capabilities\n\n...\n"
   license: "apache-2.0"
   tags:
     - llm
@@ -118,8 +78,8 @@
       use_tokenizer_template: true
   files:
     - filename: llama-cpp/models/Hy3-Q4_K_M-mtp/Hy3-Q4_K_M-mtp.gguf
-      sha256: 2524ee6cf689731ec924f0edabed0f57b634488fafe855c6bb3c2c2f86c08ae5
       uri: https://huggingface.co/AngelSlim/Hy3-GGUF/resolve/main/Hy3-Q4_K_M-mtp.gguf
+      sha256: 95adea74e07533bef7c94b4baabb0c5028cc1000de0e39f0a085aea22e06cd5e
 - &bonsai-8b
   name: "bonsai-8b-1bit"
   url: "github:mudler/LocalAI/gallery/qwen3.yaml@master"
@@ -436,7 +396,7 @@
   files:
     - filename: ds4flash.gguf
       uri: https://huggingface.co/unsloth/DeepSeek-V4-Flash-GGUF
-      sha256: a3346922a3e65c90ebf8713c26c9612433f31b76bc780656a176ecce940db59a
+      sha256: a748f0fe92c0a4e9597a8ec551960992d8f502924a7b6326f7fff12794b15449
 - name: "qwopus3.6-35b-a3b-coder-mtp"
   url: "github:mudler/LocalAI/gallery/virtual.yaml@master"
   urls:
@@ -1811,8 +1771,8 @@
       use_tokenizer_template: true
   files:
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       uri: https://huggingface.co/unsloth/gemma-4-26B-A4B-it-qat-GGUF/resolve/main/gemma-4-26B-A4B-it-qat-UD-Q4_K_XL.gguf
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       sha256: ef269e294502d6ee3722cbf129681b2586c2e6ceb79d0507963c92146e058cd4
       uri: https://huggingface.co/unsloth/gemma-4-26B-A4B-it-qat-GGUF/resolve/main/mmproj-F32.gguf
@@ -2085,11 +2045,11 @@
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   files:
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       uri: https://huggingface.co/unsloth/gemma-4-E2B-it-qat-GGUF/resolve/main/gemma-4-E2B-it-qat-UD-Q4_K_XL.gguf
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       uri: https://huggingface.co/unsloth/gemma-4-E2B-it-qat-GGUF/resolve/main/mtp-gemma-4-E2B-it.gguf
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@@ -2140,11 +2100,11 @@
       use_tokenizer_template: true
   files:
     - filename: llama-cpp/models/gemma-4-E4B-it-qat-GGUF/gemma-4-E4B-it-qat-UD-Q4_K_XL.gguf
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       uri: https://huggingface.co/unsloth/gemma-4-E4B-it-qat-GGUF/resolve/main/gemma-4-E4B-it-qat-UD-Q4_K_XL.gguf
+      sha256: df0fd4ee07072c607c29a0a1cb4f98918426cca12f45a2776bdd6ee6d09a4de3
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       uri: https://huggingface.co/unsloth/gemma-4-E4B-it-qat-GGUF/resolve/main/mtp-gemma-4-E4B-it.gguf
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       uri: https://huggingface.co/unsloth/gemma-4-E4B-it-qat-GGUF/resolve/main/mmproj-BF16.gguf
@@ -2195,11 +2155,11 @@
       use_tokenizer_template: true
   files:
     - filename: llama-cpp/models/gemma-4-12B-it-qat-GGUF/gemma-4-12B-it-qat-UD-Q4_K_XL.gguf
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       uri: https://huggingface.co/unsloth/gemma-4-12B-it-qat-GGUF/resolve/main/gemma-4-12B-it-qat-UD-Q4_K_XL.gguf
+      sha256: 90fd44e29e0d7cffeb0fd00dc73cfdab9ed0b0e95306ecf7821ea634c940c370
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-      sha256: c50c91c35f04903815b2e8930cbb8c8c5bee0e1aa00748c30a7b8ff05d2310b4
       uri: https://huggingface.co/unsloth/gemma-4-12B-it-qat-GGUF/resolve/main/mtp-gemma-4-12B-it.gguf
+      sha256: fcb35dea42c71333db904cee11baac525c9ef872818ee3753f6cb156f3c6f4f6
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       sha256: dcb8103adad042b1bf99df767aaf34eb37c5a73a4a2f0417e4d7ba557e91664f
       uri: https://huggingface.co/unsloth/gemma-4-12B-it-qat-GGUF/resolve/main/mmproj-BF16.gguf
@@ -2250,14 +2210,14 @@
       use_tokenizer_template: true
   files:
     - filename: llama-cpp/models/gemma-4-31B-it-qat-GGUF/gemma-4-31B-it-qat-UD-Q4_K_XL.gguf
-      sha256: 9188a71055550f1e60b875d02b7abb63625ac11b4a6f148d6b22b3b28ba3d335
       uri: https://huggingface.co/unsloth/gemma-4-31B-it-qat-GGUF/resolve/main/gemma-4-31B-it-qat-UD-Q4_K_XL.gguf
+      sha256: 00b5a7c497f0c8934033088c10a7fa9a4c015e46ee6d89e9c6890650ba5d0e71
     - filename: llama-cpp/models/gemma-4-31B-it-qat-GGUF/mtp-gemma-4-31B-it.gguf
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       uri: https://huggingface.co/unsloth/gemma-4-31B-it-qat-GGUF/resolve/main/mtp-gemma-4-31B-it.gguf
+      sha256: 3a5e99fd8d0b23afb1fccd1ee0c9ebd1f571d00399c2dae2292d217feeec0f6b
     - filename: llama-cpp/mmproj/gemma-4-31B-it-qat-GGUF/mmproj-BF16.gguf
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       uri: https://huggingface.co/unsloth/gemma-4-31B-it-qat-GGUF/resolve/main/mmproj-BF16.gguf
+      sha256: d904b3579a9fbfbd50bc9bf40cb7384909edbd69fa9276db5ddc853e80f0edca
 - name: "step-3.7-flash"
   url: "github:mudler/LocalAI/gallery/virtual.yaml@master"
   urls:
@@ -3718,8 +3678,8 @@
       use_tokenizer_template: true
   files:
     - filename: gemma-4-31B-it-Q4_K_M.gguf
-      sha256: 9fdf3dc8b0384830b4402d151388c140bd8eb2abf8d60588d8224231198254a1
       uri: huggingface://unsloth/gemma-4-31B-it-GGUF/gemma-4-31B-it-Q4_K_M.gguf
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