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+ ---
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+ base_model: silma-ai/SILMA-9B-Instruct-v1.0
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+ language:
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+ - ar
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+ - en
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+ library_name: transformers
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+ license: gemma
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+ pipeline_tag: text-generation
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+ tags:
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+ - conversational
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+ - llama-cpp
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+ - gguf-my-repo
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+ extra_gated_button_content: Acknowledge license
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+ model-index:
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+ - name: SILMA-9B-Instruct-v1.0
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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: MMLU (Arabic)
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+ type: OALL/Arabic_MMLU
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+ metrics:
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+ - type: loglikelihood_acc_norm
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+ value: 52.55
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+ name: acc_norm
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+ source:
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+ url: https://huggingface.co/spaces/OALL/Open-Arabic-LLM-Leaderboard
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+ name: Open Arabic LLM Leaderboard
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+ - task:
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+ type: text-generation
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+ dataset:
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+ name: AlGhafa
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+ type: OALL/AlGhafa-Arabic-LLM-Benchmark-Native
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+ metrics:
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+ - type: loglikelihood_acc_norm
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+ value: 71.85
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+ name: acc_norm
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+ source:
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+ url: https://huggingface.co/spaces/OALL/Open-Arabic-LLM-Leaderboard
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+ name: Open Arabic LLM Leaderboard
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+ - task:
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+ type: text-generation
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+ dataset:
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+ name: ARC Challenge (Arabic)
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+ type: OALL/AlGhafa-Arabic-LLM-Benchmark-Translated
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+ metrics:
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+ - type: loglikelihood_acc_norm
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+ value: 78.19
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+ name: acc_norm
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+ - type: loglikelihood_acc_norm
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+ value: 86
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+ name: acc_norm
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+ - type: loglikelihood_acc_norm
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+ value: 64.05
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+ name: acc_norm
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+ - type: loglikelihood_acc_norm
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+ value: 78.89
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+ name: acc_norm
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+ - type: loglikelihood_acc_norm
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+ value: 47.64
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+ name: acc_norm
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+ - type: loglikelihood_acc_norm
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+ value: 72.93
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+ name: acc_norm
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+ - type: loglikelihood_acc_norm
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+ value: 71.96
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+ name: acc_norm
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+ - type: loglikelihood_acc_norm
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+ value: 75.55
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+ name: acc_norm
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+ - type: loglikelihood_acc_norm
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+ value: 91.26
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+ name: acc_norm
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+ - type: loglikelihood_acc_norm
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+ value: 67.59
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+ name: acc_norm
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+ source:
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+ url: https://huggingface.co/spaces/OALL/Open-Arabic-LLM-Leaderboard
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+ name: Open Arabic LLM Leaderboard
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+ - task:
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+ type: text-generation
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+ dataset:
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+ name: ACVA
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+ type: OALL/ACVA
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+ metrics:
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+ - type: loglikelihood_acc_norm
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+ value: 78.89
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+ name: acc_norm
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+ source:
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+ url: https://huggingface.co/spaces/OALL/Open-Arabic-LLM-Leaderboard
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+ name: Open Arabic LLM Leaderboard
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+ - task:
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+ type: text-generation
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+ dataset:
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+ name: Arabic_EXAMS
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+ type: OALL/Arabic_EXAMS
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+ metrics:
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+ - type: loglikelihood_acc_norm
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+ value: 51.4
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+ name: acc_norm
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+ source:
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+ url: https://huggingface.co/spaces/OALL/Open-Arabic-LLM-Leaderboard
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+ name: Open Arabic LLM Leaderboard
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+ ---
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+
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+ # goodasdgood/SILMA-9B-Instruct-v1.0-IQ4_NL-GGUF
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+ This model was converted to GGUF format from [`silma-ai/SILMA-9B-Instruct-v1.0`](https://huggingface.co/silma-ai/SILMA-9B-Instruct-v1.0) 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/silma-ai/SILMA-9B-Instruct-v1.0) for more details on the model.
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+
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+ ## Use with llama.cpp
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+ Install llama.cpp through brew (works on Mac and Linux)
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+
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+ ```bash
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+ brew install llama.cpp
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+
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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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+ ```bash
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+ llama-cli --hf-repo goodasdgood/SILMA-9B-Instruct-v1.0-IQ4_NL-GGUF --hf-file silma-9b-instruct-v1.0-iq4_nl-imat.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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+ ```bash
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+ llama-server --hf-repo goodasdgood/SILMA-9B-Instruct-v1.0-IQ4_NL-GGUF --hf-file silma-9b-instruct-v1.0-iq4_nl-imat.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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+ Step 1: Clone llama.cpp from GitHub.
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+ ```
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+ git clone https://github.com/ggerganov/llama.cpp
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+ ```
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+
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+ Step 2: Move into the llama.cpp folder and build it with `LLAMA_CURL=1` flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).
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+ ```
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+ cd llama.cpp && LLAMA_CURL=1 make
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+ ```
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+
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+ Step 3: Run inference through the main binary.
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+ ```
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+ ./llama-cli --hf-repo goodasdgood/SILMA-9B-Instruct-v1.0-IQ4_NL-GGUF --hf-file silma-9b-instruct-v1.0-iq4_nl-imat.gguf -p "The meaning to life and the universe is"
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+ ```
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+ or
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+ ```
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+ ./llama-server --hf-repo goodasdgood/SILMA-9B-Instruct-v1.0-IQ4_NL-GGUF --hf-file silma-9b-instruct-v1.0-iq4_nl-imat.gguf -c 2048
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+ ```