README.md

---
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
---

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# 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: [v0.2.11](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.2.11) and above

- 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
    ```

  - Reverse prompt: `<step> Source: assistant\nEOT: true`

- Context size: `8192`

- Run as LlamaEdge service

  ```bash
  wasmedge --dir .:. --nn-preload default:GGML:AUTO:CodeLlama-70b-Instruct-hf-Q2_K.gguf llama-api-server.wasm -p codellama-super-instruct -c 1024 --reverse-prompt 'Source: assistant\nEOT: true'
  ```

  **Note that the model only works in the non-streaming mode.**

## Quantized GGUF Models

| Name | Quant method | Bits | Size | Use case |
| ---- | ---- | ---- | ---- | ----- |
| [CodeLlama-70b-Instruct-hf-Q2_K.gguf](https://huggingface.co/second-state/CodeLlama-70b-Instruct-hf-GGUF/blob/main/CodeLlama-70b-Instruct-hf-Q2_K.gguf)     | Q2_K   | 2 | 25.5 GB| smallest, significant quality loss - not recommended for most purposes |
| [CodeLlama-70b-Instruct-hf-Q3_K_L.gguf](https://huggingface.co/second-state/CodeLlama-70b-Instruct-hf-GGUF/blob/main/CodeLlama-70b-Instruct-hf-Q3_K_L.gguf) | Q3_K_L | 3 | 36.1 GB| small, substantial quality loss |
| [CodeLlama-70b-Instruct-hf-Q3_K_M.gguf](https://huggingface.co/second-state/CodeLlama-70b-Instruct-hf-GGUF/blob/main/CodeLlama-70b-Instruct-hf-Q3_K_M.gguf) | Q3_K_M | 3 | 33.3 GB| very small, high quality loss |
| [CodeLlama-70b-Instruct-hf-Q3_K_S.gguf](https://huggingface.co/second-state/CodeLlama-70b-Instruct-hf-GGUF/blob/main/CodeLlama-70b-Instruct-hf-Q3_K_S.gguf) | Q3_K_S | 3 | 29.9 GB| very small, high quality loss |
| [CodeLlama-70b-Instruct-hf-Q4_0.gguf](https://huggingface.co/second-state/CodeLlama-70b-Instruct-hf-GGUF/blob/main/CodeLlama-70b-Instruct-hf-Q4_0.gguf)     | Q4_0   | 4 | 38.9 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
| [CodeLlama-70b-Instruct-hf-Q4_K_M.gguf](https://huggingface.co/second-state/CodeLlama-70b-Instruct-hf-GGUF/blob/main/CodeLlama-70b-Instruct-hf-Q4_K_M.gguf) | Q4_K_M | 4 | 41.4 GB| medium, balanced quality - recommended |
| [CodeLlama-70b-Instruct-hf-Q4_K_S.gguf](https://huggingface.co/second-state/CodeLlama-70b-Instruct-hf-GGUF/blob/main/CodeLlama-70b-Instruct-hf-Q4_K_S.gguf) | Q4_K_S | 4 | 39.2 GB| small, greater quality loss |
| [CodeLlama-70b-Instruct-hf-Q5_0.gguf](https://huggingface.co/second-state/CodeLlama-70b-Instruct-hf-GGUF/blob/main/CodeLlama-70b-Instruct-hf-Q5_0.gguf)     | Q5_0   | 5 | 47.5 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
| [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 |
| [CodeLlama-70b-Instruct-hf-Q5_K_S.gguf](https://huggingface.co/second-state/CodeLlama-70b-Instruct-hf-GGUF/blob/main/CodeLlama-70b-Instruct-hf-Q5_K_S.gguf) | Q5_K_S | 5 | 47.5 GB| large, low quality loss - recommended |