Update

Signed-off-by: Xin Liu <[email protected]>

README.md

@@ -1,3 +1,64 @@
 ---
-license: apache-2.0
+base_model: codellama/CodeLlama-70b-Instruct-hf
+license: llama2
+model_creator: codellama
+model_name: CodeLlama 70B Instruct
+pipeline_tag: text-generation
+quantized_by: Second State Inc.
+language:
+- code
+tags:
+- llama-2
 ---
+
+<!-- header start -->
+<!-- 200823 -->
+<div style="width: auto; margin-left: auto; margin-right: auto">
+<img src="https://github.com/second-state/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 -->
+
+# CodeLlama-70b-Instruct-hf-GGUF
+
+## Original Model
+
+[codellama/CodeLlama-70b-Instruct-hf](https://huggingface.co/codellama/CodeLlama-70b-Instruct-hf)
+
+## Run with LlamaEdge
+
+- LlamaEdge version: coming soon
+
+- Prompt template
+
+  - Prompt type: `codellama-super-instruct`
+
+  - Prompt string
+
+    ```text
+    <s>Source: system\n\n {system_prompt} <step> Source: user\n\n {user_message_1} <step> Source: assistant\n\n {ai_message_1} <step> Source: user\n\n {user_message_2} <step> Source: assistant\nDestination: user\n\n
+    ```
+
+- Run as LlamaEdge command app
+
+  ```bash
+  wasmedge --dir .:. --nn-preload default:GGML:AUTO:CodeLlama-70b-Instruct-hf-Q5_K_M.gguf llama-chat.wasm -p codellama-super-instruct --log-prompts -c 4096
+  ```
+
+## Quantized GGUF Models
+
+| Name | Quant method | Bits | Size | Use case |
+| ---- | ---- | ---- | ---- | ----- |
+| [CodeLlama-70b-Instruct-hf-Q5_K_M.gguf](https://huggingface.co/second-state/CodeLlama-70b-Instruct-hf-GGUF/blob/main/CodeLlama-70b-Instruct-hf-Q5_K_M.gguf) | Q5_K_M | 5 | 48.8 GB| large, very low quality loss - recommended |
+<!-- | [Yi-34B-Chat-Q2_K.gguf](https://huggingface.co/second-state/Yi-34B-Chat-GGUF/blob/main/Yi-34B-Chat-Q2_K.gguf)     | Q2_K   | 2 | 12.8 GB| smallest, significant quality loss - not recommended for most purposes |
+| [Yi-34B-Chat-Q3_K_L.gguf](https://huggingface.co/second-state/Yi-34B-Chat-GGUF/blob/main/Yi-34B-Chat-Q3_K_L.gguf) | Q3_K_L | 3 | 18.1 GB| small, substantial quality loss |
+| [Yi-34B-Chat-Q3_K_M.gguf](https://huggingface.co/second-state/Yi-34B-Chat-GGUF/blob/main/Yi-34B-Chat-Q3_K_M.gguf) | Q3_K_M | 3 | 16.7 GB| very small, high quality loss |
+| [Yi-34B-Chat-Q3_K_S.gguf](https://huggingface.co/second-state/Yi-34B-Chat-GGUF/blob/main/Yi-34B-Chat-Q3_K_S.gguf) | Q3_K_S | 3 | 15.0 GB| very small, high quality loss |
+| [Yi-34B-Chat-Q4_0.gguf](https://huggingface.co/second-state/Yi-34B-Chat-GGUF/blob/main/Yi-34B-Chat-Q4_0.gguf)     | Q4_0   | 4 | 19.5 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
+| [Yi-34B-Chat-Q4_K_M.gguf](https://huggingface.co/second-state/Yi-34B-Chat-GGUF/blob/main/Yi-34B-Chat-Q4_K_M.gguf) | Q4_K_M | 4 | 20.7 GB| medium, balanced quality - recommended |
+| [Yi-34B-Chat-Q4_K_S.gguf](https://huggingface.co/second-state/Yi-34B-Chat-GGUF/blob/main/Yi-34B-Chat-Q4_K_S.gguf) | Q4_K_S | 4 | 19.6 GB| small, greater quality loss |
+| [Yi-34B-Chat-Q5_0.gguf](https://huggingface.co/second-state/Yi-34B-Chat-GGUF/blob/main/Yi-34B-Chat-Q5_0.gguf)     | Q5_0   | 5 | 23.7 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
+| [Yi-34B-Chat-Q5_K_M.gguf](https://huggingface.co/second-state/Yi-34B-Chat-GGUF/blob/main/Yi-34B-Chat-Q5_K_M.gguf) | Q5_K_M | 5 | 24.3 GB| large, very low quality loss - recommended |
+| [Yi-34B-Chat-Q5_K_S.gguf](https://huggingface.co/second-state/Yi-34B-Chat-GGUF/blob/main/Yi-34B-Chat-Q5_K_S.gguf) | Q5_K_S | 5 | 23.7 GB| large, low quality loss - recommended |
+| [Yi-34B-Chat-Q6_K.gguf](https://huggingface.co/second-state/Yi-34B-Chat-GGUF/blob/main/Yi-34B-Chat-Q6_K.gguf)     | Q6_K   | 6 | 28.2 GB| very large, extremely low quality loss |
+| [Yi-34B-Chat-Q8_0.gguf](https://huggingface.co/second-state/Yi-34B-Chat-GGUF/blob/main/Yi-34B-Chat-Q8_0.gguf)     | Q8_0   | 8 | 36.5 GB| very large, extremely low quality loss - not recommended | -->