SOLAR-10.7B-v1.0-Instruct – AI Model by myunghoonse | AlphaNeural AI

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myunghoonse/
SOLAR-10.7B-v1.0-Instruct

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text-generation

autotrain_compatible

text-generation-inference

endpoints_compatible

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SOLAR-10.7B-v1.0-Instruct

Model Details

Model Developers

myeonghoon kim

Model Architecture

SOLAR-10.7B-v1.0-Instruct is an auto-regressive language model based on the LLaMA2 transformer architecture.

Base Model

upstage/SOLAR-10.7B-v1.0

Training Dataset

Platypus

Model comparisons1

Ko-LLM leaderboard(11/23; link)

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
SOLAR-10.7B-v1.0-Instruct	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN

Implementation Code

python

### 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)