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--- |
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base_model: risangpanggalih/Bokap-Betawi-v0-Qwen2.5-7B-fp16 |
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library_name: transformers |
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tags: |
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- unsloth |
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- trl |
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- sft |
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- llama-cpp |
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- gguf-my-repo |
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- qwen2.5 |
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datasets: |
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- risangpanggalih/betawi-v0 |
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--- |
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<html> |
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<head> |
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<meta charset="UTF-8"> |
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<meta name="viewport" content="width=device-width, initial-scale=1.0"> |
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<title>Betawi Language Model: Bokap Betawi-7B</title> |
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<style> |
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h1 { |
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font-size: 36px; |
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color: #000000; |
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text-align: center; |
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} |
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</style> |
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</head> |
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<body> |
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<h1>Betawi Language Model: Bokap Betawi-7B</h1> |
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</body> |
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</html> |
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<center> |
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<img src="https://huggingface.co./risangpanggalih/Bokap-Betawi-v0-Qwen2.5-7B-fp16/resolve/main/betawi.png" alt="Bokap Betawi" height="200"> |
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<p><em><b>Bokap Betawi</b> is a language model fine-tuned from Qwen 2.5 7B on 1,000 instruction-output pairs synthetic Betawi language dataset generated using GPT-4o. This model is specifically made to enhance the performance of tasks in bahasa Betawi.</em></p> |
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<p><em style="font-weight: bold;">Version Alpha</em></p> |
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</center> |
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This model was converted to GGUF format from [`risangpanggalih/Bokap-Betawi-v0-Qwen2.5-7B-fp16`](https://huggingface.co./risangpanggalih/Bokap-Betawi-v0-Qwen2.5-7B-fp16) 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./risangpanggalih/Bokap-Betawi-v0-Qwen2.5-7B-fp16) for more details on the model. See here for another version: |
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| Version | URL | |
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|----------|-----| |
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| fp16 | [Bokap-Betawi-v0-Qwen2.5-7B-fp16](https://huggingface.co./risangpanggalih/Bokap-Betawi-v0-Qwen2.5-7B-fp16) | |
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| 4bit | [Bokap-Betawi-v0-Qwen2.5-7B-4bit](https://huggingface.co./risangpanggalih/Bokap-Betawi-v0-Qwen2.5-7B-4bit) | |
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| GGUF | [Bokap-Betawi-v0-Qwen2.5-7B-fp16-Q8_0-GGUF](https://huggingface.co./risangpanggalih/Bokap-Betawi-v0-Qwen2.5-7B-fp16-Q8_0-GGUF) | |
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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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```bash |
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brew install llama.cpp |
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``` |
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Invoke the llama.cpp server or the CLI. |
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### CLI: |
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```bash |
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llama-cli --hf-repo risangpanggalih/Bokap-Betawi-v0-Qwen2.5-7B-fp16-Q8_0-GGUF --hf-file bokap-betawi-v0-qwen2.5-7b-fp16-q8_0.gguf -p "The meaning to life and the universe is" |
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``` |
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### Server: |
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```bash |
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llama-server --hf-repo risangpanggalih/Bokap-Betawi-v0-Qwen2.5-7B-fp16-Q8_0-GGUF --hf-file bokap-betawi-v0-qwen2.5-7b-fp16-q8_0.gguf -c 2048 |
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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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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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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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Step 3: Run inference through the main binary. |
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``` |
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./llama-cli --hf-repo risangpanggalih/Bokap-Betawi-v0-Qwen2.5-7B-fp16-Q8_0-GGUF --hf-file bokap-betawi-v0-qwen2.5-7b-fp16-q8_0.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 risangpanggalih/Bokap-Betawi-v0-Qwen2.5-7B-fp16-Q8_0-GGUF --hf-file bokap-betawi-v0-qwen2.5-7b-fp16-q8_0.gguf -c 2048 |
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``` |
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### Description |
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- **Developed by:** Risang Panggalih |
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- **Finetuned from model:** Qwen 2.5 7B |
