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etri-ones-solar
leejaymin/etri-ones-solar
etri-ones-solar is a text generation model from leejaymin. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as mit.
Model Developers - the model is fine-tuned by open instruction dataset
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At a glance
- Task
- Text Generation
- Library
- transformers
- License
- mit
- Model type
- llama
- Access
- Public
- Created
- Mar 31, 2024
- Updated
- Apr 3, 2024
- SHA
- 40f78570
Datasets
Model card
From the Hugging Face model README
etri-ones-solar
Model Details
Model Developers
- the model is fine-tuned by open instruction dataset
Model Architecture
- this model is an auto-regressive language model based on the solar transformer architecture.
Base Model
Training Dataset
Model comparisons1
comming soon
| Model | Average | Ko-ARC | Ko-HellaSwag | Ko-MMLU | Ko-TruthfulQA | Ko-CommonGen V2 |
|---|---|---|---|---|---|---|
| [...your_model_name...] | NaN | NaN | NaN | NaN | NaN | NaN |
Model comparisons2
AI-Harness evaluation; link
| Model | Copa | Copa | HellaSwag | HellaSwag | BoolQ | BoolQ | Sentineg | Sentineg |
|---|---|---|---|---|---|---|---|---|
| 0-shot | 5-shot | 0-shot | 5-shot | 0-shot | 5-shot | 0-shot | 5-shot | |
| [...your_model_name...] | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
Implementation Code
### KO-Platypus
from transformers import AutoModelForCausalLM, AutoTokenizer
import torch
repo = "[...your_model_repo...]"
OpenOrca = AutoModelForCausalLM.from_pretrained(
repo,
return_dict=True,
torch_dtype=torch.float16,
device_map='auto'
)
OpenOrca_tokenizer = AutoTokenizer.from_pretrained(repo)
- Task
- Text Generation
- Library
- transformers
- Type
- llama
- License
- mit
- Languages
- ko
- Created
- Mar 31, 2024
- Updated
- Apr 3, 2024