Upload README.md with huggingface_hub

README.md

@@ -1,3 +1,86 @@
 ---
-license: apache-2.0
+base_model: google/datagemma-rag-27b-it
+inference: false
+license: gemma
+library_name: transformers
+pipeline_tag: text-generation
+model_creator: Google
+model_name: datagemma-rag-27b-it
+quantized_by: Second State Inc.
+tags:
+- conversational
 ---
+
+<!-- header start -->
+<!-- 200823 -->
+<div style="width: auto; margin-left: auto; margin-right: auto">
+<img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;">
+</div>
+<hr style="margin-top: 1.0em; margin-bottom: 1.0em;">
+<!-- header end -->
+
+# Datagemma-rag-27b-it-GGUF
+
+## Original Model
+
+[google/datagemma-rag-27b-it](https://huggingface.co/google/datagemma-rag-27b-it)
+
+## Run with LlamaEdge
+
+- LlamaEdge version: [v0.14.3](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.14.3) and above
+
+- Prompt template
+
+  - Prompt type: `gemma-instruct`
+
+  - Prompt string
+
+    ```text
+    <bos><start_of_turn>user
+    {user_message}<end_of_turn>
+    <start_of_turn>model
+    {model_message}<end_of_turn>model
+    ```
+
+- Context size: `8192`
+
+- Run as LlamaEdge service
+
+  ```bash
+  wasmedge --dir .:. --nn-preload default:GGML:AUTO:datagemma-rag-27b-it-Q5_K_M.gguf \
+    llama-api-server.wasm \
+    --prompt-template gemma-instruct \
+    --ctx-size 8192 \
+    --model-name gemma-2-27b
+  ```
+
+- Run as LlamaEdge command app
+
+  ```bash
+  wasmedge --dir .:. \
+    --nn-preload default:GGML:AUTO:datagemma-rag-27b-it-Q5_K_M.gguf \
+    llama-chat.wasm \
+    --prompt-template gemma-instruct \
+    --ctx-size 8192
+  ```
+
+## Quantized GGUF Models
+
+| Name | Quant method | Bits | Size | Use case |
+| ---- | ---- | ---- | ---- | ----- |
+| [datagemma-rag-27b-it-Q2_K.gguf](https://huggingface.co/second-state/datagemma-rag-27b-it-GGUF/blob/main/datagemma-rag-27b-it-Q2_K.gguf)     | Q2_K   | 2 | 10.4 GB| smallest, significant quality loss - not recommended for most purposes |
+| [datagemma-rag-27b-it-Q3_K_L.gguf](https://huggingface.co/second-state/datagemma-rag-27b-it-GGUF/blob/main/datagemma-rag-27b-it-Q3_K_L.gguf) | Q3_K_L | 3 | 14.5 GB| small, substantial quality loss |
+| [datagemma-rag-27b-it-Q3_K_M.gguf](https://huggingface.co/second-state/datagemma-rag-27b-it-GGUF/blob/main/datagemma-rag-27b-it-Q3_K_M.gguf) | Q3_K_M | 3 | 13.4 GB| very small, high quality loss |
+| [datagemma-rag-27b-it-Q3_K_S.gguf](https://huggingface.co/second-state/datagemma-rag-27b-it-GGUF/blob/main/datagemma-rag-27b-it-Q3_K_S.gguf) | Q3_K_S | 3 | 12.2 GB| very small, high quality loss |
+| [datagemma-rag-27b-it-Q4_0.gguf](https://huggingface.co/second-state/datagemma-rag-27b-it-GGUF/blob/main/datagemma-rag-27b-it-Q4_0.gguf)     | Q4_0   | 4 | 15.6 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
+| [datagemma-rag-27b-it-Q4_K_M.gguf](https://huggingface.co/second-state/datagemma-rag-27b-it-GGUF/blob/main/datagemma-rag-27b-it-Q4_K_M.gguf) | Q4_K_M | 4 | 16.6 GB| medium, balanced quality - recommended |
+| [datagemma-rag-27b-it-Q4_K_S.gguf](https://huggingface.co/second-state/datagemma-rag-27b-it-GGUF/blob/main/datagemma-rag-27b-it-Q4_K_S.gguf) | Q4_K_S | 4 | 15.7 GB| small, greater quality loss |
+| [datagemma-rag-27b-it-Q5_0.gguf](https://huggingface.co/second-state/datagemma-rag-27b-it-GGUF/blob/main/datagemma-rag-27b-it-Q5_0.gguf)     | Q5_0   | 5 | 18.9 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
+| [datagemma-rag-27b-it-Q5_K_M.gguf](https://huggingface.co/second-state/datagemma-rag-27b-it-GGUF/blob/main/datagemma-rag-27b-it-Q5_K_M.gguf) | Q5_K_M | 5 | 19.4 GB| large, very low quality loss - recommended |
+| [datagemma-rag-27b-it-Q5_K_S.gguf](https://huggingface.co/second-state/datagemma-rag-27b-it-GGUF/blob/main/datagemma-rag-27b-it-Q5_K_S.gguf) | Q5_K_S | 5 | 18.9 GB| large, low quality loss - recommended |
+| [datagemma-rag-27b-it-Q6_K.gguf](https://huggingface.co/second-state/datagemma-rag-27b-it-GGUF/blob/main/datagemma-rag-27b-it-Q6_K.gguf)     | Q6_K   | 6 | 22.3 GB| very large, extremely low quality loss |
+| [datagemma-rag-27b-it-Q8_0.gguf](https://huggingface.co/second-state/datagemma-rag-27b-it-GGUF/blob/main/datagemma-rag-27b-it-Q8_0.gguf)     | Q8_0   | 8 | 28.9 GB| very large, extremely low quality loss - not recommended |
+| [datagemma-rag-27b-it-f16-00001-of-00002.gguf](https://huggingface.co/second-state/datagemma-rag-27b-it-GGUF/blob/main/datagemma-rag-27b-it-f16-00001-of-00002.gguf)       | f16    | 16 | 29.9 GB|  |
+| [datagemma-rag-27b-it-f16-00002-of-00002.gguf](https://huggingface.co/second-state/datagemma-rag-27b-it-GGUF/blob/main/datagemma-rag-27b-it-f16-00002-of-00002.gguf)       | f16    | 16 | 24.6 GB|  |
+
+*Quantized with llama.cpp b3664*