The license is cc-by-nc-sa-4.0
.
π»ββοΈSOLARC-M-10.7Bπ»ββοΈ
Model Details
Model Developers Seungyoo Lee(DopeorNope)
I am in charge of Large Language Models (LLMs) at Markr AI team in South Korea.
Input Models input text only.
Output Models generate text only.
Model Architecture
SOLARC-M-10.7B is an auto-regressive language model based on the SOLAR architecture.
Base Model
kyujinpy/Sakura-SOLAR-Instruct
jeonsworld/CarbonVillain-en-10.7B-v1
Implemented Method
I have built a model using the merge method, utilizing each of these models as the base.
Implementation Code
Load model
from transformers import AutoModelForCausalLM, AutoTokenizer
import torch
repo = "DopeorNope/SOLARC-M-10.7B"
OpenOrca = AutoModelForCausalLM.from_pretrained(
repo,
return_dict=True,
torch_dtype=torch.float16,
device_map='auto'
)
OpenOrca_tokenizer = AutoTokenizer.from_pretrained(repo)
- Downloads last month
- 988
Inference Providers
NEW
This model is not currently available via any of the supported third-party Inference Providers, and
the model is not deployed on the HF Inference API.