---
language:
- code
license: other
model_name: llm-compiler-7b
base_model: facebook/llm-compiler-7b-ftd
inference: false
model_creator: facebook
quantized_by: Second State Inc.
---

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# llm-compiler-7b-ftd-GGUF

## Original Model

[facebook/llm-compiler-7b-ftd](https://huggingface.co/facebook/llm-compiler-7b-ftd)

**License** A custom commercial license is available at: [https://ai.meta.com/resources/models-and-libraries/llama-downloads/](https://ai.meta.com/resources/models-and-libraries/llama-downloads/)

## Run with LlamaEdge

<!-- - LlamaEdge version: [v0.2.8](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.2.8) and above -->

- LlamaEdge version: coming soon

<!-- - Prompt template

  - Prompt type: `codellama-instruct`

  - Prompt string

    ```text
    [INST] {system_message}

    <code>
    {user_message}
    </code>[/INST]
    ```

    **Note** that the `system_message` should be `Tell me how to optimize this LLVM-IR for object file size:` or `Disassemble this code to LLVM-IR:`.

- Context size: `4096`

- Run as LlamaEdge command app

  ```bash
  wasmedge --dir .:. --nn-preload default:GGML:AUTO:llm-compiler-7b-ftd-Q5_K_M.gguf llama-chat.wasm -p codellama-instruct
  ``` -->


## Quantized GGUF Models

| Name | Quant method | Bits | Size | Use case |
| ---- | ---- | ---- | ---- | ----- |
| [llm-compiler-7b-ftd-Q2_K.gguf](https://huggingface.co/second-state/llm-compiler-7b-ftd-GGUF/blob/main/llm-compiler-7b-ftd-Q2_K.gguf)     | Q2_K   | 2 | 2.53 GB| smallest, significant quality loss - not recommended for most purposes |
| [llm-compiler-7b-ftd-Q3_K_L.gguf](https://huggingface.co/second-state/llm-compiler-7b-ftd-GGUF/blob/main/llm-compiler-7b-ftd-Q3_K_L.gguf) | Q3_K_L | 3 | 3.6 GB| small, substantial quality loss |
| [llm-compiler-7b-ftd-Q3_K_M.gguf](https://huggingface.co/second-state/llm-compiler-7b-ftd-GGUF/blob/main/llm-compiler-7b-ftd-Q3_K_M.gguf) | Q3_K_M | 3 | 3.3 GB| very small, high quality loss |
| [llm-compiler-7b-ftd-Q3_K_S.gguf](https://huggingface.co/second-state/llm-compiler-7b-ftd-GGUF/blob/main/llm-compiler-7b-ftd-Q3_K_S.gguf) | Q3_K_S | 3 | 2.95 GB| very small, high quality loss |
| [llm-compiler-7b-ftd-Q4_0.gguf](https://huggingface.co/second-state/llm-compiler-7b-ftd-GGUF/blob/main/llm-compiler-7b-ftd-Q4_0.gguf)     | Q4_0   | 4 | 3.83 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
| [llm-compiler-7b-ftd-Q4_K_M.gguf](https://huggingface.co/second-state/llm-compiler-7b-ftd-GGUF/blob/main/llm-compiler-7b-ftd-Q4_K_M.gguf) | Q4_K_M | 4 | 4.08 GB| medium, balanced quality - recommended |
| [llm-compiler-7b-ftd-Q4_K_S.gguf](https://huggingface.co/second-state/llm-compiler-7b-ftd-GGUF/blob/main/llm-compiler-7b-ftd-Q4_K_S.gguf) | Q4_K_S | 4 | 3.86 GB| small, greater quality loss |
| [llm-compiler-7b-ftd-Q5_0.gguf](https://huggingface.co/second-state/llm-compiler-7b-ftd-GGUF/blob/main/llm-compiler-7b-ftd-Q5_0.gguf)     | Q5_0   | 5 | 4.65 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
| [llm-compiler-7b-ftd-Q5_K_M.gguf](https://huggingface.co/second-state/llm-compiler-7b-ftd-GGUF/blob/main/llm-compiler-7b-ftd-Q5_K_M.gguf) | Q5_K_M | 5 | 4.78 GB| large, very low quality loss - recommended |
| [llm-compiler-7b-ftd-Q5_K_S.gguf](https://huggingface.co/second-state/llm-compiler-7b-ftd-GGUF/blob/main/llm-compiler-7b-ftd-Q5_K_S.gguf) | Q5_K_S | 5 | 4.65 GB| large, low quality loss - recommended |
| [llm-compiler-7b-ftd-Q6_K.gguf](https://huggingface.co/second-state/llm-compiler-7b-ftd-GGUF/blob/main/llm-compiler-7b-ftd-Q6_K.gguf)     | Q6_K   | 6 | 5.53 GB| very large, extremely low quality loss |
| [llm-compiler-7b-ftd-Q8_0.gguf](https://huggingface.co/second-state/llm-compiler-7b-ftd-GGUF/blob/main/llm-compiler-7b-ftd-Q8_0.gguf)     | Q8_0   | 8 | 7.16 GB| very large, extremely low quality loss - not recommended |
| [llm-compiler-7b-ftd-f16.gguf](https://huggingface.co/second-state/llm-compiler-7b-ftd-GGUF/blob/main/llm-compiler-7b-ftd-f16.gguf)     | f16    | f16 | 13.5 GB| |

*Quantized with llama.cpp b3259*