---
language:
- en
- zh
- id
- th
- vi
- ms
- lo
license: apache-2.0
tags:
- multilingual
- sea
- sailor
- llama-cpp
- gguf-my-repo
base_model: Qwen/Qwen1.5-0.5B
datasets:
- cerebras/SlimPajama-627B
- Skywork/SkyPile-150B
- allenai/MADLAD-400
- cc100
inference: false
model-index:
- name: Sailor-0.5B
  results:
  - task:
      type: text-generation
    dataset:
      name: XQuAD-Thai
      type: XQuAD-Thai
    metrics:
    - type: EM (3-Shot)
      value: 15.84
      name: EM (3-Shot)
    - type: F1 (3-Shot)
      value: 27.58
      name: F1 (3-Shot)
  - task:
      type: text-generation
    dataset:
      name: TyDiQA-Indonesian
      type: TyDiQA-Indonesian
    metrics:
    - type: EM (3-Shot)
      value: 30.44
      name: EM (3-Shot)
    - type: F1 (3-Shot)
      value: 54.74
      name: F1 (3-Shot)
  - task:
      type: text-generation
    dataset:
      name: XQuAD-Vietnamese
      type: XQuAD-Vietnamese
    metrics:
    - type: EM (3-Shot)
      value: 21.13
      name: EM (3-Shot)
    - type: F1 (3-Shot)
      value: 40.57
      name: F1 (3-Shot)
  - task:
      type: text-generation
    dataset:
      name: XCOPA-Thai
      type: XCOPA-Thai
    metrics:
    - type: EM (3-Shot)
      value: 51.0
      name: EM (3-Shot)
  - task:
      type: text-generation
    dataset:
      name: XCOPA-Indonesian
      type: XCOPA-Indonesian
    metrics:
    - type: EM (3-Shot)
      value: 58.2
      name: EM (3-Shot)
  - task:
      type: text-generation
    dataset:
      name: XCOPA-Vietnamese
      type: XCOPA-Vietnamese
    metrics:
    - type: EM (3-Shot)
      value: 58.0
      name: EM (3-Shot)
  - task:
      type: text-generation
    dataset:
      name: M3Exam-Thai
      type: M3Exam-Thai
    metrics:
    - type: EM (3-Shot)
      value: 24.41
      name: EM (3-Shot)
  - task:
      type: text-generation
    dataset:
      name: M3Exam-Indonesian
      type: M3Exam-Indonesian
    metrics:
    - type: EM (3-Shot)
      value: 26.15
      name: EM (3-Shot)
  - task:
      type: text-generation
    dataset:
      name: M3Exam-Vietnamese
      type: M3Exam-Vietnamese
    metrics:
    - type: EM (3-Shot)
      value: 30.91
      name: EM (3-Shot)
  - task:
      type: text-generation
    dataset:
      name: BELEBELE-Thai
      type: BELEBELE-Thai
    metrics:
    - type: EM (3-Shot)
      value: 32.22
      name: EM (3-Shot)
  - task:
      type: text-generation
    dataset:
      name: BELEBELE-Indonesian
      type: BELEBELE-Indonesian
    metrics:
    - type: EM (3-Shot)
      value: 30.89
      name: EM (3-Shot)
  - task:
      type: text-generation
    dataset:
      name: BELEBELE-Vietnamese
      type: BELEBELE-Vietnamese
    metrics:
    - type: EM (3-Shot)
      value: 32.33
      name: EM (3-Shot)
---

# AIronMind/Sailor-0.5B-Q4_K_M-GGUF
This model was converted to GGUF format from [`sail/Sailor-0.5B`](https://huggingface.co/sail/Sailor-0.5B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.co/sail/Sailor-0.5B) for more details on the model.
## Use with llama.cpp

Install llama.cpp through brew.

```bash
brew install ggerganov/ggerganov/llama.cpp
```
Invoke the llama.cpp server or the CLI.

CLI:

```bash
llama-cli --hf-repo AIronMind/Sailor-0.5B-Q4_K_M-GGUF --model sailor-0.5b.Q4_K_M.gguf -p "The meaning to life and the universe is"
```

Server:

```bash
llama-server --hf-repo AIronMind/Sailor-0.5B-Q4_K_M-GGUF --model sailor-0.5b.Q4_K_M.gguf -c 2048
```

Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well.

```
git clone https://github.com/ggerganov/llama.cpp &&             cd llama.cpp &&             make &&             ./main -m sailor-0.5b.Q4_K_M.gguf -n 128
```