comsat-embed-ko-8b-preview-GGUF

import numpy as np
from llama_cpp import Llama
from sentence_transformers import SentenceTransformer
from sentence_transformers.util import cos_sim

model = SentenceTransformer(
    "sionic-ai/comsat-embed-ko-8b-preview",
)
llama = Llama.from_pretrained(
    repo_id="mykor/comsat-embed-ko-8b-preview-GGUF",
    filename="comsat-embed-ko-8B-preview-BF16.gguf",
    verbose=False,
    embedding=True,
    n_ctx=0,
)

text = """λ‚¨μ•„μžˆλ˜ λ‚˜λ₯Ό λ– λ‚˜ 더 희미해지고
μ–΄λ–€ μ™Έλ‘œμ›€μ„ ν’ˆκ³  살아가더라도
λ‚΄κ²Œ λ‹Ώμ•˜λ˜ 기얡은 늘 μ°¬λž€ν•˜κ²Œ 번져
아직도 λ‚œ μ™œ μžŠμ§€λ„ λͺ»ν•˜κ³  또
μ™œ λ‚œ 더, 더 μ™œ κ°‡νžŒ 것 같은데
겁에 질린 μ±„λ‘œ

μ²˜μŒμ΄λΌμ„œ 그래
κ°€λ³Έ 적 μ—†λŠ” 길에
λ‚  μž μ‹œ μžŠμ€ 채
κ°€μ‹œλ₯Ό μ„Έμš΄ 채
μƒμ²˜ λ‚œ κ½ƒμžŽμ²˜λŸΌ
λ–¨μ–΄μ§ˆ λ•Œ λ‚΄ 손을 μž‘μ•„μ€„λž˜?
끝의 밀을 μ§€μšΈκ²Œ
λΉ›μœΌλ‘œ 늘

λ‚΄ λ§˜μ— ν•€ κ·Έλ¦ΌμžλŠ” λ‚  μ‚Όν‚€λŠ” λ“―ν•˜κ³ 
κΈ°λ‹€λ¦¬λ˜ 햇살은 λ‚  슀쳐 κ°€λ“― λ– λ‚˜κ³ 
겨우 맀달린 ν¬λ―Έν•œ 달빛은 λ―Έλ„λŸ¬μ Έ
아직도 λ‚œ λ²—μ–΄λ‚˜μ§ˆ λͺ»ν•˜κ³  또
μ™œ λ‚œ 더, 더 μ™œ λ¬΄λ„ˆμ Έκ°€λŠ”λ°
μ–΄μ©” 쀄 λͺ¨λ₯΄κ³ 

μ²˜μŒμ΄λΌμ„œ 그래
κ°€λ³Έ 적 μ—†λŠ” 길에
λ‚  μž μ‹œ μžŠμ€ 채
κ°€μ‹œλ₯Ό μ„Έμš΄ 채
μƒμ²˜ λ‚œ κ½ƒμžŽμ²˜λŸΌ
λ–¨μ–΄μ§ˆλ•Œ λ‚΄ 손을 μž‘μ•„μ€„λž˜?
끝의 밀을 μ§€μšΈκ²Œ
λΉ›μœΌλ‘œ

κ·Έλƒ₯ λ‹¬μ•„λ‚˜μž μ € λ„ˆλ¨Έμ—
μ–΄λ‘μ›Œμ§€λŠ” ν•˜λŠ˜μ΄
우릴 λ‹€μ‹  찾을 수 μ—†κ²Œ
검은 밀이 무섭지 μ•Šλ‹€κΈ°λ³΄λ‹¨
포기할 수 μžˆλŠ” 게 아냐 oh

μ΄μ œμ„œμ•Ό 보이넀
이미 λ”°λœ»ν–ˆλŠ”λ°
고개λ₯Ό 떨ꡬ고
두 κ·€λ₯Ό 막고
λ‚΄ 곁을 μ§€μΌœμ£Όλ˜
널 놓칠 λ•Œ 또 ν•œ 번 μž‘μ•„μ€„λž˜
μ•½μ†ν• κ²Œ μ°¬λž€ν•œ λ―Έμ†Œλ₯Ό oh, oh (였늘 밀이) oh
아침일 κ±°μ•Ό 우린 늘"""

embed1 = model.encode(text)
embed2 = np.array(llama.embed(text), dtype=np.float32)
print(cos_sim(embed1, embed2).item())
0.9998719096183777
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