---
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 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