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SOLARC-M-10.7B – AI Model by DopeorNope | AlphaNeural AI

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DopeorNope/
SOLARC-M-10.7B

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0

text-generation

cc-by-nc-sa-4.0

autotrain_compatible

text-generation-inference

endpoints_compatible

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The license is cc-by-nc-sa-4.0.

🐻‍❄️SOLARC-M-10.7B🐻‍❄️

img

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

python

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)