95 lines
2.9 KiB
Markdown
95 lines
2.9 KiB
Markdown
---
|
|
language:
|
|
- ko
|
|
|
|
library_name: transformers
|
|
pipeline_tag: text-generation
|
|
license: cc-by-nc-4.0
|
|
---
|
|
|
|
# **Synatra-7B-Instruct-v0.2**
|
|
|
|
Made by StableFluffy
|
|
|
|
**Contact (Do not Contact for personal things.)**
|
|
Discord : is.maywell
|
|
Telegram : AlzarTakkarsen
|
|
|
|
|
|
## License
|
|
|
|
This model is strictly [*non-commercial*](https://creativecommons.org/licenses/by-nc/4.0/) (**cc-by-nc-4.0**) use only.
|
|
The "Model" is completely free (ie. base model, derivates, merges/mixes) to use for non-commercial purposes as long as the the included **cc-by-nc-4.0** license in any parent repository, and the non-commercial use statute remains, regardless of other models' licences.
|
|
The licence can be changed after new model released. If you are to use this model for commercial purpose, Contact me.
|
|
|
|
## Model Details
|
|
**Base Model**
|
|
[mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1)
|
|
|
|
**Trained On**
|
|
A6000 48GB * 8
|
|
|
|
## TODO
|
|
|
|
- RP 기반 튜닝 모델 제작
|
|
- 데이터셋 정제
|
|
- 언어 이해능력 개선
|
|
- 상식 보완
|
|
- 토크나이저 변경
|
|
|
|
## Instruction format
|
|
|
|
In order to leverage instruction fine-tuning, your prompt should be surrounded by `[INST]` and `[/INST]` tokens. The very first instruction should begin with a begin of sentence id. The next instructions should not. The assistant generation will be ended by the end-of-sentence token id.
|
|
|
|
E.g.
|
|
```
|
|
text = "<s>[INST] 아이작 뉴턴의 업적을 알려줘. [/INST]"
|
|
```
|
|
|
|
# **Model Benchmark**
|
|
|
|
## Ko-LLM-Leaderboard
|
|
|
|
| Model | Ko-ARC | Ko-HellaSwag | Ko-MMLU | Ko-TruthfulQA | Ko-CommonGen V2 | Avg
|
|
| --- | --- | --- | --- | --- | --- | ---
|
|
| kyujinpy/KoT-platypus2-13B(No.1 at 2023/10/12) | 43.69 | 53.05 | 42.29 | 43.34 | 65.38 | 49.55
|
|
| Synatra-V0.1-7B-Instruct | 41.72 | 49.28 | 43.27 | 43.75 | 39.32 | 43.47
|
|
| **Synatra-7B-Instruct-v0.2** | **41.81** | **49.35** | **43.99** | **45.77** | **42.96** | **44.78**
|
|
|
|
MMLU에서는 우세하나 Ko-CommonGen V2 에서 크게 약한 모습을 보임.
|
|
|
|
# **Implementation Code**
|
|
|
|
Since, chat_template already contains insturction format above.
|
|
You can use the code below.
|
|
|
|
```python
|
|
from transformers import AutoModelForCausalLM, AutoTokenizer
|
|
|
|
device = "cuda" # the device to load the model onto
|
|
|
|
model = AutoModelForCausalLM.from_pretrained("maywell/Synatra-V0.1-7B")
|
|
tokenizer = AutoTokenizer.from_pretrained("maywell/Synatra-V0.1-7B")
|
|
|
|
messages = [
|
|
{"role": "user", "content": "What is your favourite condiment?"},
|
|
]
|
|
|
|
encodeds = tokenizer.apply_chat_template(messages, return_tensors="pt")
|
|
|
|
model_inputs = encodeds.to(device)
|
|
model.to(device)
|
|
|
|
generated_ids = model.generate(model_inputs, max_new_tokens=1000, do_sample=True)
|
|
decoded = tokenizer.batch_decode(generated_ids)
|
|
print(decoded[0])
|
|
```
|
|
|
|
If you run it on oobabooga your prompt would look like this.
|
|
```
|
|
[INST] 링컨에 대해서 알려줘. [/INST]
|
|
```
|
|
|
|
> Readme format: [beomi/llama-2-ko-7b](https://huggingface.co/beomi/llama-2-ko-7b)
|
|
|
|
--- |