diff --git a/.agents/adding-gallery-models.md b/.agents/adding-gallery-models.md
new file mode 100644
index 000000000..fe5a57e87
--- /dev/null
+++ b/.agents/adding-gallery-models.md
@@ -0,0 +1,111 @@
+# Adding GGUF Models from HuggingFace to the Gallery
+
+When adding a GGUF model from HuggingFace to the LocalAI model gallery, follow this guide.
+
+## Gallery file
+
+All models are defined in `gallery/index.yaml`. Find the appropriate section (embedding models near other embeddings, chat models near similar chat models) and add a new entry.
+
+## Getting the SHA256
+
+GGUF files on HuggingFace expose their SHA256 via the `x-linked-etag` HTTP header. Fetch it with:
+
+```bash
+curl -sI "https://huggingface.co/<org>/<repo>/resolve/main/<filename>.gguf" | grep -i x-linked-etag
+```
+
+The value (without quotes) is the SHA256 hash. Example:
+
+```bash
+curl -sI "https://huggingface.co/ggml-org/embeddinggemma-300m-qat-q8_0-GGUF/resolve/main/embeddinggemma-300m-qat-Q8_0.gguf" | grep -i x-linked-etag
+# x-linked-etag: "6fa0c02a9c302be6f977521d399b4de3a46310a4f2621ee0063747881b673f67"
+```
+
+**Important**: Pay attention to exact filename casing — HuggingFace filenames are case-sensitive (e.g., `Q8_0` vs `q8_0`). Check the repo's file listing to get the exact name.
+
+## Entry format — Embedding models
+
+Embedding models use `gallery/virtual.yaml` as the base config and set `embeddings: true`:
+
+```yaml
+- name: "model-name"
+  url: github:mudler/LocalAI/gallery/virtual.yaml@master
+  urls:
+    - https://huggingface.co/<original-model-org>/<original-model-name>
+    - https://huggingface.co/<gguf-org>/<gguf-repo-name>
+  description: |
+    Short description of the model, its size, and capabilities.
+  tags:
+    - embeddings
+  overrides:
+    backend: llama-cpp
+    embeddings: true
+    parameters:
+      model: <filename>.gguf
+  files:
+    - filename: <filename>.gguf
+      uri: huggingface://<gguf-org>/<gguf-repo-name>/<filename>.gguf
+      sha256: <sha256-hash>
+```
+
+## Entry format — Chat/LLM models
+
+Chat models typically reference a template config (e.g., `gallery/gemma.yaml`, `gallery/chatml.yaml`) that defines the prompt format. Use YAML anchors (`&name` / `*name`) if adding multiple quantization variants of the same model:
+
+```yaml
+- &model-anchor
+  url: "github:mudler/LocalAI/gallery/<template>.yaml@master"
+  name: "model-name"
+  icon: https://example.com/icon.png
+  license: <license>
+  urls:
+    - https://huggingface.co/<org>/<model>
+    - https://huggingface.co/<gguf-org>/<gguf-repo>
+  description: |
+    Model description.
+  tags:
+    - llm
+    - gguf
+    - gpu
+    - cpu
+  overrides:
+    parameters:
+      model: <filename>-Q4_K_M.gguf
+  files:
+    - filename: <filename>-Q4_K_M.gguf
+      sha256: <sha256>
+      uri: huggingface://<gguf-org>/<gguf-repo>/<filename>-Q4_K_M.gguf
+```
+
+To add a variant (e.g., different quantization), use YAML merge:
+
+```yaml
+- !!merge <<: *model-anchor
+  name: "model-name-q8"
+  overrides:
+    parameters:
+      model: <filename>-Q8_0.gguf
+  files:
+    - filename: <filename>-Q8_0.gguf
+      sha256: <sha256>
+      uri: huggingface://<gguf-org>/<gguf-repo>/<filename>-Q8_0.gguf
+```
+
+## Available template configs
+
+Look at existing `.yaml` files in `gallery/` to find the right prompt template for your model architecture:
+
+- `gemma.yaml` — Gemma-family models (gemma, embeddinggemma, etc.)
+- `chatml.yaml` — ChatML format (many Mistral/OpenHermes models)
+- `deepseek.yaml` — DeepSeek models
+- `virtual.yaml` — Minimal base (good for embedding models that don't need chat templates)
+
+## Checklist
+
+1. **Find the GGUF file** on HuggingFace — note exact filename (case-sensitive)
+2. **Get the SHA256** using the `curl -sI` + `x-linked-etag` method above
+3. **Choose the right template** config from `gallery/` based on model architecture
+4. **Add the entry** to `gallery/index.yaml` near similar models
+5. **Set `embeddings: true`** if it's an embedding model
+6. **Include both URLs** — the original model page and the GGUF repo
+7. **Write a description** — mention model size, capabilities, and quantization type
diff --git a/AGENTS.md b/AGENTS.md
index 27785bf82..d3d8037e0 100644
--- a/AGENTS.md
+++ b/AGENTS.md
@@ -13,6 +13,7 @@ This file is an index to detailed topic guides in the `.agents/` directory. Read
 | [.agents/testing-mcp-apps.md](.agents/testing-mcp-apps.md) | Testing MCP Apps (interactive tool UIs) in the React UI |
 | [.agents/api-endpoints-and-auth.md](.agents/api-endpoints-and-auth.md) | Adding API endpoints, auth middleware, feature permissions, user access control |
 | [.agents/debugging-backends.md](.agents/debugging-backends.md) | Debugging runtime backend failures, dependency conflicts, rebuilding backends |
+| [.agents/adding-gallery-models.md](.agents/adding-gallery-models.md) | Adding GGUF models from HuggingFace to the model gallery |
 
 ## Quick Reference
 
diff --git a/gallery/index.yaml b/gallery/index.yaml
index 57c35ab4c..21bb6fb44 100644
--- a/gallery/index.yaml
+++ b/gallery/index.yaml
@@ -7789,6 +7789,24 @@
     - filename: granite-embedding-125m-english-f16.gguf
       uri: huggingface://bartowski/granite-embedding-125m-english-GGUF/granite-embedding-125m-english-f16.gguf
       sha256: e2950cf0228514e0e81c6f0701a62a9e4763990ce660b4a3c0329cd6a4acd4b9
+- name: "embeddinggemma-300m"
+  url: github:mudler/LocalAI/gallery/virtual.yaml@master
+  urls:
+    - https://huggingface.co/google/embeddinggemma-300m
+    - https://huggingface.co/ggml-org/embeddinggemma-300m-qat-q8_0-GGUF
+  description: |
+    EmbeddingGemma 300M is a lightweight, high-quality embedding model from Google, based on the Gemma architecture. It produces 1024-dimensional embeddings optimized for retrieval and semantic similarity tasks. This GGUF version uses QAT (Quantization-Aware Training) Q8_0 quantization for efficient inference.
+  tags:
+    - embeddings
+  overrides:
+    backend: llama-cpp
+    embeddings: true
+    parameters:
+      model: embeddinggemma-300m-qat-Q8_0.gguf
+  files:
+    - filename: embeddinggemma-300m-qat-Q8_0.gguf
+      uri: huggingface://ggml-org/embeddinggemma-300m-qat-q8_0-GGUF/embeddinggemma-300m-qat-Q8_0.gguf
+      sha256: 6fa0c02a9c302be6f977521d399b4de3a46310a4f2621ee0063747881b673f67
 - name: "moe-girl-1ba-7bt-i1"
   icon: https://cdn-uploads.huggingface.co/production/uploads/634262af8d8089ebaefd410e/kTXXSSSqpb21rfyOX7FUa.jpeg
   # chatml