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+ ---
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+ language:
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+ - en
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+ - zh
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+ - id
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+ - th
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+ - vi
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+ - ms
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+ - lo
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+ license: apache-2.0
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+ tags:
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+ - multilingual
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+ - sea
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+ - sailor
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+ - llama-cpp
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+ - gguf-my-repo
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+ base_model: Qwen/Qwen1.5-0.5B
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+ datasets:
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+ - cerebras/SlimPajama-627B
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+ - Skywork/SkyPile-150B
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+ - allenai/MADLAD-400
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+ - cc100
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+ inference: false
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+ model-index:
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+ - name: Sailor-0.5B
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+ results:
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+ - task:
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+ type: text-generation
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+ dataset:
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+ name: XQuAD-Thai
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+ type: XQuAD-Thai
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+ metrics:
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+ - type: EM (3-Shot)
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+ value: 15.84
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+ name: EM (3-Shot)
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+ - type: F1 (3-Shot)
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+ value: 27.58
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+ name: F1 (3-Shot)
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+ - task:
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+ type: text-generation
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+ dataset:
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+ name: TyDiQA-Indonesian
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+ type: TyDiQA-Indonesian
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+ metrics:
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+ - type: EM (3-Shot)
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+ value: 30.44
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+ name: EM (3-Shot)
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+ - type: F1 (3-Shot)
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+ value: 54.74
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+ name: F1 (3-Shot)
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+ - task:
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+ type: text-generation
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+ dataset:
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+ name: XQuAD-Vietnamese
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+ type: XQuAD-Vietnamese
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+ metrics:
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+ - type: EM (3-Shot)
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+ value: 21.13
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+ name: EM (3-Shot)
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+ - type: F1 (3-Shot)
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+ value: 40.57
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+ name: F1 (3-Shot)
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+ - task:
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+ type: text-generation
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+ dataset:
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+ name: XCOPA-Thai
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+ type: XCOPA-Thai
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+ metrics:
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+ - type: EM (3-Shot)
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+ value: 51.0
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+ name: EM (3-Shot)
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+ - task:
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+ type: text-generation
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+ dataset:
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+ name: XCOPA-Indonesian
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+ type: XCOPA-Indonesian
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+ metrics:
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+ - type: EM (3-Shot)
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+ value: 58.2
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+ name: EM (3-Shot)
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+ - task:
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+ type: text-generation
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+ dataset:
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+ name: XCOPA-Vietnamese
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+ type: XCOPA-Vietnamese
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+ metrics:
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+ - type: EM (3-Shot)
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+ value: 58.0
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+ name: EM (3-Shot)
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+ - task:
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+ type: text-generation
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+ dataset:
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+ name: M3Exam-Thai
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+ type: M3Exam-Thai
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+ metrics:
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+ - type: EM (3-Shot)
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+ value: 24.41
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+ name: EM (3-Shot)
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+ - task:
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+ type: text-generation
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+ dataset:
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+ name: M3Exam-Indonesian
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+ type: M3Exam-Indonesian
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+ metrics:
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+ - type: EM (3-Shot)
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+ value: 26.15
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+ name: EM (3-Shot)
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+ - task:
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+ type: text-generation
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+ dataset:
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+ name: M3Exam-Vietnamese
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+ type: M3Exam-Vietnamese
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+ metrics:
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+ - type: EM (3-Shot)
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+ value: 30.91
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+ name: EM (3-Shot)
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+ - task:
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+ type: text-generation
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+ dataset:
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+ name: BELEBELE-Thai
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+ type: BELEBELE-Thai
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+ metrics:
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+ - type: EM (3-Shot)
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+ value: 32.22
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+ name: EM (3-Shot)
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+ - task:
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+ type: text-generation
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+ dataset:
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+ name: BELEBELE-Indonesian
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+ type: BELEBELE-Indonesian
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+ metrics:
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+ - type: EM (3-Shot)
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+ value: 30.89
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+ name: EM (3-Shot)
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+ - task:
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+ type: text-generation
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+ dataset:
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+ name: BELEBELE-Vietnamese
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+ type: BELEBELE-Vietnamese
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+ metrics:
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+ - type: EM (3-Shot)
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+ value: 32.33
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+ name: EM (3-Shot)
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+ ---
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+
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+ # AIronMind/Sailor-0.5B-Q4_K_M-GGUF
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+ 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.
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+ Refer to the [original model card](https://huggingface.co/sail/Sailor-0.5B) for more details on the model.
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+ ## Use with llama.cpp
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+
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+ Install llama.cpp through brew.
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+
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+ ```bash
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+ brew install ggerganov/ggerganov/llama.cpp
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+ ```
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+ Invoke the llama.cpp server or the CLI.
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+
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+ CLI:
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+
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+ ```bash
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+ 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"
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+ ```
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+
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+ Server:
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+
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+ ```bash
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+ llama-server --hf-repo AIronMind/Sailor-0.5B-Q4_K_M-GGUF --model sailor-0.5b.Q4_K_M.gguf -c 2048
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+ ```
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+
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+ 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.
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+
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+ ```
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+ git clone https://github.com/ggerganov/llama.cpp && cd llama.cpp && make && ./main -m sailor-0.5b.Q4_K_M.gguf -n 128
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+ ```