maywell / koOpenChat-sft

huggingface.co
Total runs: 954
24-hour runs: 0
7-day runs: 157
30-day runs: 63
Model's Last Updated: November 21 2023
text-generation

Introduction of koOpenChat-sft

Model Details of koOpenChat-sft

koOpenChat-sft๐Ÿง

Support Me

์‹œ๋‚˜ํŠธ๋ผ๋Š” ๊ฐœ์ธ ํ”„๋กœ์ ํŠธ๋กœ, 1์ธ์˜ ์ž์›์œผ๋กœ ๊ฐœ๋ฐœ๋˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ๋ชจ๋ธ์ด ๋งˆ์Œ์— ๋“œ์…จ๋‹ค๋ฉด ์•ฝ๊ฐ„์˜ ์—ฐ๊ตฌ๋น„ ์ง€์›์€ ์–ด๋–จ๊นŒ์š”? Buy me a Coffee

Wanna be a sponser? (Please) Contact me on Telegram AlzarTakkarsen

Model Details

Base Model
OpenChat3.5

Trained On
A100 80GB * 1

Instruction format

It follows ChatML format and Alpaca(No-Input) format.

Model Benchmark

None

Implementation Code

Since, chat_template already contains insturction format above. You can use the code below.

from transformers import AutoModelForCausalLM, AutoTokenizer

device = "cuda" # the device to load the model onto

model = AutoModelForCausalLM.from_pretrained("maywell/koOpenChat-sft")
tokenizer = AutoTokenizer.from_pretrained("maywell/koOpenChat-sft")

messages = [
    {"role": "user", "content": "๋ฐ”๋‚˜๋‚˜๋Š” ์›๋ž˜ ํ•˜์–€์ƒ‰์ด์•ผ?"},
]

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])

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric Value
Avg. 51.36
ARC (25-shot) 59.81
HellaSwag (10-shot) 78.73
MMLU (5-shot) 61.32
TruthfulQA (0-shot) 51.24
Winogrande (5-shot) 76.4
GSM8K (5-shot) 24.18
DROP (3-shot) 7.82

Runs of maywell koOpenChat-sft on huggingface.co

954
Total runs
0
24-hour runs
0
3-day runs
157
7-day runs
63
30-day runs

More Information About koOpenChat-sft huggingface.co Model

More koOpenChat-sft license Visit here:

https://choosealicense.com/licenses/cc-by-sa-4.0

koOpenChat-sft huggingface.co

koOpenChat-sft huggingface.co is an AI model on huggingface.co that provides koOpenChat-sft's model effect (), which can be used instantly with this maywell koOpenChat-sft model. huggingface.co supports a free trial of the koOpenChat-sft model, and also provides paid use of the koOpenChat-sft. Support call koOpenChat-sft model through api, including Node.js, Python, http.

koOpenChat-sft huggingface.co Url

https://huggingface.co/maywell/koOpenChat-sft

maywell koOpenChat-sft online free

koOpenChat-sft huggingface.co is an online trial and call api platform, which integrates koOpenChat-sft's modeling effects, including api services, and provides a free online trial of koOpenChat-sft, you can try koOpenChat-sft online for free by clicking the link below.

maywell koOpenChat-sft online free url in huggingface.co:

https://huggingface.co/maywell/koOpenChat-sft

koOpenChat-sft install

koOpenChat-sft is an open source model from GitHub that offers a free installation service, and any user can find koOpenChat-sft on GitHub to install. At the same time, huggingface.co provides the effect of koOpenChat-sft install, users can directly use koOpenChat-sft installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

koOpenChat-sft install url in huggingface.co:

https://huggingface.co/maywell/koOpenChat-sft

Url of koOpenChat-sft

koOpenChat-sft huggingface.co Url

Provider of koOpenChat-sft huggingface.co

maywell
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