File size: 1,877 Bytes
2597fbe a71705b d66e126 2597fbe |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 |
---
license: mit
base_model: JEJUMA/JEJUMA-002
tags:
- gguf
- Dialect
- Language
model-index:
- name: joongi007/JEJUMA-002-GGUF
results: []
language:
- ko
pipeline_tag: text-generation
---
- Original model is [JEJUMA/JEJUMA-002](https://huggingface.co/JEJUMA/JEJUMA-002) - [bbd7ec2](https://huggingface.co/JEJUMA/JEJUMA-002/tree/bbd7ec2d14c9074cfe72aeaeb113f8530f070cf8)
- quantized using [llama.cpp](https://github.com/ggerganov/llama.cpp) - [b3542](https://github.com/ggerganov/llama.cpp/releases/tag/b3542)
- JEJUMA Official Quantization is [JEJUMA/JEJUMA-002-GGUF](https://huggingface.co/JEJUMA/JEJUMA-002-GGUF)
- After trying out this model, I noticed a few things:
1. It's more like a translation model. You can't chat with it, it only does translations.
2. It can only handle one dialect (or standard Korean) at a time.
3. Don't expect a conversation. It's strictly for translation purposes! Look at the example below!
system prompt
```
Answer your questions using the Jeju dialect.
```
user question
```
hello! How are you doing now?
```
assistant answer
```
헐쯤 험과게
# 할수 많습니까
```
Prompt(LM Studio)
```prompt
<|start_header_id|>system<|end_header_id|>
{System}
<|eot_id|><|start_header_id|>user<|end_header_id|>
{User}
<|eot_id|><|start_header_id|>assistant<|end_header_id|>
{Assistant}
```
Example of User Prompts
````example
Detect the following sentence or word is standard, jeju, chungcheong, gangwon, gyeongsang, or jeonla's dialect:
```
{Enter the Jeju island dialect or standard Korean here}
```
````
````example
Detect the following sentence or word is which dialect and convert the following sentence or word to standard Korean:
```
{Enter Jeju island dialect or standard Korean here}
```
```` |