--- base_model: risangpanggalih/Bokap-Betawi-v0-Qwen2.5-7B-fp16 library_name: transformers tags: - unsloth - trl - sft - llama-cpp - gguf-my-repo - qwen2.5 datasets: - risangpanggalih/betawi-v0 --- Betawi Language Model: Bokap Betawi-7B

Betawi Language Model: Bokap Betawi-7B

Bokap Betawi

Bokap Betawi 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.

Version Alpha

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. 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: | Version | URL | |----------|-----| | fp16 | [Bokap-Betawi-v0-Qwen2.5-7B-fp16](https://huggingface.co./risangpanggalih/Bokap-Betawi-v0-Qwen2.5-7B-fp16) | | 4bit | [Bokap-Betawi-v0-Qwen2.5-7B-4bit](https://huggingface.co./risangpanggalih/Bokap-Betawi-v0-Qwen2.5-7B-4bit) | | 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) | ## Use with llama.cpp Install llama.cpp through brew (works on Mac and Linux) ```bash brew install llama.cpp ``` Invoke the llama.cpp server or the CLI. ### CLI: ```bash 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" ``` ### Server: ```bash 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 ``` 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. Step 1: Clone llama.cpp from GitHub. ``` git clone https://github.com/ggerganov/llama.cpp ``` 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). ``` cd llama.cpp && LLAMA_CURL=1 make ``` Step 3: Run inference through the main binary. ``` ./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" ``` or ``` ./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 ``` ### Description - **Developed by:** Risang Panggalih - **Finetuned from model:** Qwen 2.5 7B