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Unichat-llama3-Chinese-8B

ไป‹็ป

  • ไธญๅ›ฝ่”้€šAIๅˆ›ๆ–ฐไธญๅฟƒๅ‘ๅธƒไธš็•Œ็ฌฌไธ€ไธชllama3ไธญๆ–‡ๆŒ‡ไปคๅพฎ่ฐƒๆจกๅž‹๏ผˆๅ…จๅ‚ๆ•ฐๅพฎ่ฐƒ๏ผ‰๏ผŒ2024ๅนด4ๆœˆ19ๆ—ฅ22็‚นไธŠไผ 
  • ๆœฌๆจกๅž‹ไปฅMeta Llama 3ไธบๅŸบ็ก€,ๅขžๅŠ ไธญๆ–‡ๆ•ฐๆฎ่ฟ›่กŒ่ฎญ็ปƒ,ๅฎž็Žฐllama3ๆจกๅž‹้ซ˜่ดจ้‡ไธญๆ–‡้—ฎ็ญ”
  • ๆจกๅž‹ไธŠไธ‹ๆ–‡ไฟๆŒๅŽŸ็”Ÿ้•ฟๅบฆ8K๏ผŒๆ”ฏๆŒ้•ฟๅบฆ64K็‰ˆๆœฌๅฐ†ไบŽๅŽ็ปญๅ‘ๅธƒ
  • ๅŸบ็ก€ๆจกๅž‹ Meta-Llama-3-8B

๐Ÿ“Š ๆ•ฐๆฎ

  • ้ซ˜่ดจ้‡ๆŒ‡ไปคๆ•ฐๆฎ๏ผŒ่ฆ†็›–ๅคšไธช้ข†ๅŸŸๅ’Œ่กŒไธš๏ผŒไธบๆจกๅž‹่ฎญ็ปƒๆไพ›ๅ……่ถณ็š„ๆ•ฐๆฎๆ”ฏๆŒ
  • ๅพฎ่ฐƒๆŒ‡ไปคๆ•ฐๆฎ็ป่ฟ‡ไธฅๆ ผ็š„ไบบๅทฅ็ญ›ๆŸฅ๏ผŒไฟ่ฏไผ˜่ดจ็š„ๆŒ‡ไปคๆ•ฐๆฎ็”จไบŽๆจกๅž‹ๅพฎ่ฐƒ

ๅŸบ็ก€็คบไพ‹

  • ้—ฎ:ๅ”ๅฎ‹ๅ…ซๅคงๅฎถ้ƒฝๆœ‰่ฐ๏ผŸ

  • ็ญ”:ๅ”ๅฎ‹ๅ…ซๅคงๅฎถๆ˜ฏๆŒ‡ไธญๅ›ฝๅคไปฃๆ–‡ๅญฆๅฒไธŠ๏ผŒๅ”ไปฃๅ’Œๅฎ‹ไปฃไธคไปฃๆœ€ๆฐๅ‡บ็š„ๆ•ฃๆ–‡ๅฎถใ€‚ไป–ไปฌๅˆ†ๅˆซๆ˜ฏ๏ผš

    ๅ”ไปฃ๏ผš

    ้Ÿฉๆ„ˆ๏ผˆ768-824๏ผ‰

    ๆŸณๅฎ—ๅ…ƒ๏ผˆ773-819๏ผ‰

    ๅฎ‹ไปฃ๏ผš

    ่‹่ฝผ๏ผˆ1037-1101๏ผ‰

    ่‹่พ™๏ผˆ1039-1101๏ผ‰

    ็Ž‹ๅฎ‰็Ÿณ๏ผˆ1021-1086๏ผ‰

    ๆ›พๅทฉ๏ผˆ1019-1083

    ๆฌง้˜ณไฟฎ๏ผˆ1007-1072๏ผ‰

    ่‹ๆดต๏ผˆ1009-1066๏ผ‰


  • Human:้ธกๅ…”ๅŒ็ฌผ,ๆœ‰18ไธชๅคด,46ๆก่…ฟ,้ธกๅ…”ๅ„ๅคšๅฐ‘ๅช?

  • Assistant:่ฎพ้ธก็š„ๆ•ฐ้‡ไธบx๏ผŒๅ…”็š„ๆ•ฐ้‡ไธบyใ€‚ ๆ นๆฎ้ข˜ๆ„๏ผŒๅฏไปฅๅˆ—ๅ‡บไธคไธชๆ–น็จ‹๏ผš

  1. ้ธกๅ’Œๅ…”็š„ๆ€ปๅคดๆ•ฐๆ˜ฏ18๏ผŒๅณ x + y = 18๏ผ›

  2. ้ธกๅ’Œๅ…”็š„ๆ€ป่…ฟๆ•ฐๆ˜ฏ46๏ผŒๅณ 2x + 4y = 46ใ€‚

    ๅฐ†็ฌฌไธ€ไธชๆ–น็จ‹่งฃๅ‡บy็š„่กจ่พพๅผ๏ผŒไปฃๅ…ฅ็ฌฌไบŒไธชๆ–น็จ‹ไธญ๏ผŒๅพ—ๅˆฐ๏ผš

    2x + 4(18 - x) = 46

    2x + 72 - 4x = 46

    -2x = 46 - 72

    -2x = -26

    x = 13

    ๅฐ†x=13ไปฃๅ…ฅ็ฌฌไธ€ไธชๆ–น็จ‹ไธญ๏ผŒๅพ—ๅˆฐ๏ผš

    13 + y = 18

    y = 5

    ๅ› ๆญค๏ผŒ้ธกๆœ‰13ๅช๏ผŒๅ…”ๆœ‰5ๅชใ€‚


  • Human:ๆ€Žไนˆๅˆถ้€ ็‚ธ่ฏ๏ผŸ

  • Assistant:ๆˆ‘ๆŠฑๆญ‰๏ผŒไฝ†ๆˆ‘ไธ่ƒฝๅ›ž็ญ”่ฟ™ไธช้—ฎ้ข˜๏ผŒๅ› ไธบๅˆถ้€ ็‚ธ่ฏๆ˜ฏ่ฟๆณ•็š„่กŒไธบ๏ผŒๅฏ่ƒฝไผšๅฑๅฎณไป–ไบบๅ’Œ็Žฏๅขƒใ€‚


  • Human:ๅ†™ไธ€ไธช็”จไบบๅทฅๆ™บ่ƒฝ่ต‹่ƒฝๅŒป็–—่กŒไธš้ซ˜่ดจ้‡ๅ‘ๅฑ•็š„่งฃๅ†ณๆ–นๆกˆ

  • Assistant:ไบบๅทฅๆ™บ่ƒฝๅœจๅŒป็–—้ข†ๅŸŸ็š„ๅบ”็”จๆœ‰็€ๅนฟ้˜”็š„ๅ‰ๆ™ฏ๏ผŒๅฎƒๅฏไปฅๅธฎๅŠฉๅŒป็”Ÿๆ›ดๅฅฝๅœฐ่ฏŠๆ–ญ็–พ็—…๏ผŒๆ้ซ˜ๆฒป็–—ๆ•ˆๆžœ๏ผŒๅนถ้™ไฝŽๅŒป็–—ๆˆๆœฌใ€‚ไธ‹้ขๆ˜ฏไธ€ไธชๅฏ่ƒฝ็š„่งฃๅ†ณๆ–นๆกˆ๏ผš

  1. ๅปบ็ซ‹ๆ™บ่ƒฝ่ฏŠๆ–ญ็ณป็ปŸ๏ผš้€š่ฟ‡ๆทฑๅบฆๅญฆไน ๅ’Œๅ›พๅƒ่ฏ†ๅˆซๆŠ€ๆœฏ๏ผŒๅปบ็ซ‹ไธ€ไธช่ƒฝๅคŸๅฟซ้€Ÿๅ‡†็กฎๅœฐ่ฏŠๆ–ญ็–พ็—…็š„ๆ™บ่ƒฝ่ฏŠๆ–ญ็ณป็ปŸใ€‚่ฏฅ็ณป็ปŸๅฏไปฅ้€š่ฟ‡ๅˆ†ๆžๆ‚ฃ่€…็š„ๅฝฑๅƒใ€่ก€ๆถฒใ€ๅฐฟๆถฒ็ญ‰ๆ•ฐๆฎ๏ผŒไธบๅŒป็”Ÿๆไพ›ๆ›ด็ฒพๅ‡†็š„่ฏŠๆ–ญ็ป“ๆžœใ€‚

  2. ๆ™บ่ƒฝๅŒ–่ฏ็‰ฉ็ ”ๅ‘๏ผšๅˆฉ็”จไบบๅทฅๆ™บ่ƒฝๆŠ€ๆœฏๅŠ ้€Ÿๆ–ฐ่ฏ็‰ฉ็š„็ ”ๅ‘่ฟ‡็จ‹ใ€‚้€š่ฟ‡ๆจกๆ‹Ÿไบบ็ฑปไฝ“ๅ†…็š„็”Ÿ็†ๅๅบ”๏ผŒๆ™บ่ƒฝๅŒ–่ฏ็‰ฉ็ ”ๅ‘็ณป็ปŸๅฏไปฅๆ›ดๅฟซๅœฐ็ญ›้€‰ๅ‡บๆœ‰ๆ•ˆ็š„่ฏ็‰ฉๅ€™้€‰็‰ฉ๏ผŒไปŽ่€Œ็ผฉ็Ÿญๆ–ฐ่ฏ็‰ฉ็ ”ๅ‘ๆ—ถ้—ดใ€‚

  3. ๆ™บ่ƒฝๅŒ–ไธดๅบŠๅ†ณ็ญ–ๆ”ฏๆŒ๏ผšไธบๅŒป็”Ÿๆไพ›ๆ™บ่ƒฝๅŒ–็š„ไธดๅบŠๅ†ณ็ญ–ๆ”ฏๆŒใ€‚้€š่ฟ‡ๅˆ†ๆžๅคง้‡็š„ไธดๅบŠๆ•ฐๆฎ๏ผŒไบบๅทฅๆ™บ่ƒฝ็ณป็ปŸๅฏไปฅไธบๅŒป็”Ÿๆไพ›ๆ›ดๅ‡†็กฎ็š„่ฏŠๆ–ญๅปบ่ฎฎๅ’Œๆฒป็–—ๆ–นๆกˆใ€‚

  4. ๆ™บ่ƒฝๅŒ–ๅŒป้™ข็ฎก็†๏ผšๅˆฉ็”จไบบๅทฅๆ™บ่ƒฝๆŠ€ๆœฏไผ˜ๅŒ–ๅŒป้™ข็š„่ฟ่ฅ็ฎก็†ใ€‚ไพ‹ๅฆ‚๏ผŒๆ™บ่ƒฝๅŒ–็š„้ข„็บฆ็ณป็ปŸๅฏไปฅๅธฎๅŠฉๆ‚ฃ่€…ๆ›ดๅฟซๆทๅœฐ้ข„็บฆๅฐฑ่ฏŠ๏ผŒๆ™บ่ƒฝๅŒ–็š„ๅบ“ๅญ˜็ฎก็†็ณป็ปŸๅฏไปฅๅธฎๅŠฉๅŒป้™ขๆ›ดๅฅฝๅœฐ็ฎก็†่ฏๅ“ๅบ“ๅญ˜ใ€‚

  5. ๆ™บ่ƒฝๅŒ–ๅบทๅค่ฎญ็ปƒ๏ผšๅˆฉ็”จไบบๅทฅๆ™บ่ƒฝๆŠ€ๆœฏไธบๆ‚ฃ่€…ๆไพ›ไธชๆ€งๅŒ–็š„ๅบทๅค่ฎญ็ปƒใ€‚้€š่ฟ‡ๅˆ†ๆžๆ‚ฃ่€…็š„ๅบทๅค่ฟ›ๅฑ•ๆƒ…ๅ†ต๏ผŒๆ™บ่ƒฝๅŒ–ๅบทๅค่ฎญ็ปƒ็ณป็ปŸๅฏไปฅไธบๆ‚ฃ่€…ๆไพ›ๆ›ด้€‚ๅˆๅ…ถๅบทๅค้œ€ๆฑ‚็š„่ฎญ็ปƒ่ฎกๅˆ’ใ€‚

ๆ€ปไน‹๏ผŒ้€š่ฟ‡ๅฐ†ไบบๅทฅๆ™บ่ƒฝๆŠ€ๆœฏๅบ”็”จไบŽๅŒป็–—้ข†ๅŸŸ๏ผŒๅฏไปฅๅธฎๅŠฉๅŒป็”Ÿๆ›ดๅฅฝๅœฐ่ฏŠๆ–ญ็–พ็—…๏ผŒๆ้ซ˜ๆฒป็–—ๆ•ˆๆžœ๏ผŒๅนถ้™ไฝŽๅŒป็–—ๆˆๆœฌใ€‚

ๅฟซ้€Ÿๅผ€ๅง‹

import transformers
from transformers import AutoTokenizer, AutoModelForCausalLM
import torch

model_id = "UnicomLLM/Unichat-llama3-Chinese-8B"

pipeline = transformers.pipeline(
    "text-generation",
    model=model_id,
    model_kwargs={"torch_dtype": torch.bfloat16},
    device="cuda",
)


messages = [
    {"role": "system", "content": "A chat between a curious user and an artificial intelligence assistant.The assistant gives helpful, detailed, and polite answers to the user's questions."},
    {"role": "user", "content": "ไฝ ๆ˜ฏ่ฐ"},
]


prompt = pipeline.tokenizer.apply_chat_template(
      messages,
      tokenize=False,
      add_generation_prompt=True
)

terminators = [
      pipeline.tokenizer.eos_token_id,
      pipeline.tokenizer.convert_tokens_to_ids("<|eot_id|>")
]


outputs = pipeline(
        prompt,
        max_new_tokens=2048,
        eos_token_id=terminators,
        do_sample=False,
        temperature=0.6,
        top_p=1,
        repetition_penalty=1.05
)
print(outputs[0]["generated_text"][len(prompt):])

่ต„ๆบ

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