Modelpublic

risangpanggalih/Bokap-Betawi-v0-Qwen2.5-7B-fp16-Q8_0-GGUF

sourceHugging Faceupdated 2y agoView on Hugging Face

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Model Card

<html> <head> <meta charset="UTF-8"> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <title>Betawi Language Model: Bokap Betawi-7B</title> <style> h1 { font-size: 36px; color: #000000; text-align: center; } </style> </head> <body> <h1>Betawi Language Model: Bokap Betawi-7B</h1> </body> </html> <center> <img src="https://huggingface.co/risangpanggalih/Bokap-Betawi-v0-Qwen2.5-7B-fp16/resolve/main/betawi.png" alt="Bokap Betawi" height="200"> <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> <p><em style="font-weight: bold;">Version Alpha</em></p> </center>

This model was converted to GGUF format from `risangpanggalih/Bokap-Betawi-v0-Qwen2.5-7B-fp16` using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model. See here for another version: | Version | URL | |----------|-----| | fp16 | Bokap-Betawi-v0-Qwen2.5-7B-fp16 | | 4bit | Bokap-Betawi-v0-Qwen2.5-7B-4bit | | GGUF | 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 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"

./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