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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)
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