ai_smell_remover v1.1

ๆŠŠ AI ่ตท่‰็š„ไธญๆ–‡้€ๆฎตๆ”นๆˆ้ธญๅ“ฅ๏ผˆyage.ai๏ผ‰็š„ๆ–‡้ฃŽ๏ผŒ้™ไฝŽ AI ๅ‘ณใ€‚่ฟ™ๆ˜ฏๅœจ Qwen3.5-9B-Base ไธŠ่ฎญ็ปƒ็š„ LoRA๏ผŒๅˆๅนถๅŽ้‡ๅŒ–ๆˆ Q8_0 GGUFใ€‚่ฎญ็ปƒๆ–นๆณ•ๅ’Œๅ…จ้ƒจไปฃ็ ๅœจ grapeot/voice-loraใ€‚

ๅฎƒๅชๆ”นๆŽช่พžๅ’Œๅฅๅญ๏ผŒไธๆ”นๆฎต่ฝ็ป“ๆž„ใ€่ฎบ่ฏ้กบๅบๅ’Œไบ‹ๅฎžใ€‚่พ“ๅ‡บไธ€ๅฎš่ฆๅ†ๅšไธ€้ไบ‹ๅฎžๆผ‚็งปๆ ธๆŸฅ๏ผŒ่งไธ‹ๆ–‡โ€œๅฑ€้™โ€ใ€‚

ๆ–‡ไปถ ่ฏดๆ˜Ž
ai_smell_remover-v1.1-Q8_0.gguf ๆจกๅž‹ๆƒ้‡๏ผŒQ8_0๏ผŒ9.1 GB
voice-lora-card.yaml ็ป™ voice-lora rewrite ็”จ็š„่ฐƒ็”จๅก๏ผŒๆŒ‡ๅ‘ๆœฌๆœบ llama-server
LICENSE Apache-2.0๏ผŒ็ปงๆ‰ฟ่‡ช Qwen3.5-9B-Base

ๅฟซ้€Ÿๅผ€ๅง‹

็›ฎๅ‰ๅชๅœจ Mac๏ผˆM3 Ultra๏ผŒllama.cpp ็š„ Metal ๅŽ็ซฏ๏ผ‰ไธŠๆต‹่ฏ•่ฟ‡ใ€‚llama.cpp ไนŸๆ”ฏๆŒ Linux ๅ’Œ Windows๏ผˆCPUใ€CUDA ็ญ‰ๅŽ็ซฏ๏ผ‰๏ผŒๆขๅนณๅฐๆ—ถๅช้œ€่ฆๆขๆˆๅฏนๅบ”ๅนณๅฐ็š„ llama.cppใ€‚

# 1. ไธ‹่ฝฝๆƒ้‡
hf download grapeot/ai_smell_remover ai_smell_remover-v1.1-Q8_0.gguf voice-lora-card.yaml --local-dir ./ai_smell_remover

# 2. ่ฃ… llama.cpp ๅนถ่ตทๆœๅŠก๏ผˆMac๏ผšbrew install llama.cpp๏ผ›Linux/Windows๏ผš็”จ llama.cpp ็š„ release ๅŒ…๏ผ‰
llama-server -m ./ai_smell_remover/ai_smell_remover-v1.1-Q8_0.gguf --alias ai_smell_remover-v1.1 \
  --port 8091 -c 16384 -np 4 -ngl 99 --jinja

# 3. ่ฃ… voice-lora๏ผŒๆ”นๅ†™ไธ€็ฏ‡ markdown ๆ–‡็ซ 
uv pip install git+https://github.com/grapeot/voice-lora
voice-lora rewrite article.md --card ./ai_smell_remover/voice-lora-card.yaml --out article.voice.md
voice-lora compare article.md article.voice.md        # ้€ๆฎตๅฏน็…ง้กต๏ผŒๅฎก้˜…็”จ

voice-lora rewrite ไผš๏ผš

  • ้€ๆฎตๆ”นๅ†™ๆญฃๆ–‡ๆฎต่ฝ๏ผŒๆ ‡้ข˜ใ€ๅผ•็”จๅ—ใ€่กจๆ ผใ€ไปฃ็ ๅ—ๅ’Œๅ›พ็‰‡ๅŽŸๆ ทไฟ็•™๏ผ›
  • ๆŒ‰้”šๆ–‡ๆœฌๆ‰พๅ›ž้“พๆŽฅ๏ผ›
  • ๆŸๆฎตๆ”นๅ†™ๅŽๆ•ฐๅญ—ๅฏนไธไธŠ๏ผŒๆˆ–่€…้•ฟๅบฆๆฏ”่ถ…ๅ‡บ 0.6โ€“1.6๏ผŒๅฐฑ้‡่ฏ•ไธ€ๆฌก๏ผŒ่ฟ˜ไธ่กŒๅฐฑไฟ็•™ๅŽŸๆ–‡ใ€‚

ๅœจ M3 Ultra ไธŠ๏ผŒ4 ่ทฏๅนถๅ‘ๆ”นๅ†™ไธ€็ฏ‡ 40 ๆฎต็š„ๆ–‡็ซ ็บฆ 45 ็ง’ใ€‚

่‡ชๅทฑ่ฐƒ็”จๆ—ถๅฟ…้กปๆณจๆ„

็”จ voice-lora ๅฐฑไธ็”จ็ฎก่ฟ™ไธ€่Š‚ใ€‚่‡ชๅทฑๅ†™ๅฎขๆˆท็ซฏๆ—ถ๏ผš

Prompt ๆ ผๅผ๏ผšๅ•่ฝฎ user ๆถˆๆฏ๏ผŒๅ…ณ้—ญๆ€่€ƒๆจกๅผ๏ผˆchat template ๅ‚ๆ•ฐ enable_thinking: false๏ผ‰ใ€‚

ๆŠŠไธ‹้ข่ฟ™ๆฎตๆ–‡ๅญ—ๆ”นๅ†™ๆˆ้ธญๅ“ฅ็š„ๆ–‡้ฃŽ๏ผŒๅ†…ๅฎนๅ’Œ้กบๅบไธๅ˜ใ€‚

ใ€ไธŠๆ–‡๏ผŒไป…ไพ›ๅ‚่€ƒ๏ผŒไธ่ฆๆ”นๅ†™ใ€‘
<ไธŠไธ€ๆฎต็š„ๅŽŸๆ–‡๏ผ›็ฌฌไธ€ๆฎตๆฒกๆœ‰่ฟ™ไธ€่Š‚>

ใ€่ฆๆ”นๅ†™็š„ๆฎต่ฝใ€‘
<่ฟ™ไธ€ๆฎต>

้‡‡ๆ ทๅ‚ๆ•ฐ๏ผš

ๅ‚ๆ•ฐ ๅ€ผ ๅŽŸๅ› 
temperature 0.7 greedy๏ผˆtemperature 0๏ผ‰ไธ‹ๆจกๅž‹ๅคงๅคšๅœจ็…งๆŠ„่พ“ๅ…ฅ
top_p 0.95
้‡ๅคๆƒฉ็ฝš 1.05 llama.cpp ็”จ repeat_penalty๏ผŒvLLM ็”จ repetition_penalty
ๆƒฉ็ฝš็ช—ๅฃ ่ฆ†็›–ๆ•ดไธช prompt llama.cpp ่ฆไผ  repeat_last_n: 4096๏ผˆ้ป˜่ฎคๅช็œ‹ๆœ€่ฟ‘ 64 ไธช token๏ผ‰

ๆƒฉ็ฝš็ช—ๅฃๆ˜ฏๆœ€ๅฎนๆ˜“่ธฉ็š„ๅ‘ใ€‚่ฆๆ”นๅ†™็š„ๅŽŸๆ–‡ๅฐฑๅœจ prompt ้‡Œ๏ผŒ้‡ๅคๆƒฉ็ฝšๅŽ‹ไฝŽไบ†็…งๆŠ„ๅŽŸๆ–‡็š„ๆฆ‚็އ๏ผŒ่ฟ™ๆ˜ฏๆจกๅž‹่‚ฏๆข่ฏดๆณ•็š„ไธป่ฆๅŽŸๅ› ใ€‚ๅŒ 14 ๆฎตใ€ๅ„้‡‡ๆ ท 6 ๆฌก๏ผŒๅ’ŒๅŽŸๆ–‡็š„ๅนณๅ‡็›ธไผผๅบฆ๏ผš

้ƒจ็ฝฒ ็›ธไผผๅบฆ
vLLM๏ผˆๆƒฉ็ฝš้ป˜่ฎค่ฆ†็›–ๅ…จ้ƒจ prompt๏ผ‰ 0.786
llama-server๏ผŒไผ  repeat_last_n: 4096 0.784
llama-server๏ผŒ้ป˜่ฎค 64 ไธช token ็ช—ๅฃ 0.849
ไธๅŠ ๆƒฉ็ฝš 0.901

ไธ่ฆ็”จ LM Studio๏ผšๅฎƒไธ่ฎค repetition_penalty๏ผŒไนŸไธๆŠŠ repeat_last_n ไผ ็ป™ๅผ•ๆ“Ž๏ผŒๆ”นๅ†™ไผšๆ˜Žๆ˜พๅไฟๅฎˆใ€‚

่ฎญ็ปƒ

  • ๅŸบๅบง๏ผšQwen3.5-9B-Baseใ€‚

  • LoRA๏ผšbf16๏ผŒrank 32ใ€alpha 32๏ผŒๅญฆไน ็އ 1e-4๏ผˆไฝ™ๅผฆ้€€็ซ๏ผ‰๏ผŒๆœ‰ๆ•ˆ batch 16ใ€‚ๅ–้ชŒ่ฏ loss ๆœ€ไฝŽ็š„ checkpoint๏ผŒ็บฆ 0.19 epochใ€‚

  • ๆ•ฐๆฎ๏ผš้ธญๅ“ฅๆœฌไบบ็š„ 185 ็ฏ‡ไธญๆ–‡ๅšๅฎข๏ผŒ2,160 ไธชๆฎต่ฝ๏ผŒๆŒ‰ๆ–‡็ซ ๅˆ’ๅˆ†่ฎญ็ปƒใ€้ชŒ่ฏใ€ๆต‹่ฏ•้›†ใ€‚ๆ•ฐๆฎ็š„ๆž„้€ ๆ–นๆณ•ๅซๅๅ‘ๅˆๆˆ๏ผšๅ…ˆ่ฎฉ AI ๆŠŠๅŽŸๆ–‡ๆฎต่ฝๆ”นๅ†™ๆˆ AI ่…”๏ผŒๅ†ๆŠŠๆ•ฐๆฎๅฏนๅ่ฟ‡ๆฅ่ฎญ็ปƒ๏ผˆAI ่…” โ†’ ๅŽŸๆ–‡๏ผ‰ใ€‚ๆ”นๅ†™ๆฅ่‡ชไธ‰ไธชๆจกๅž‹ๅฎถๆ—๏ผš

    • ไธ€ไธชๅผ€ๆบ 27B ๆจกๅž‹๏ผŒ5 ็ง prompt๏ผ›
    • Gemini 3.8 Flash๏ผŒ3 ็ง prompt๏ผ›
    • DeepSeek V4.1 Flash๏ผŒ3 ็ง promptใ€‚

    ่ฎญ็ปƒๅฏนๅ…ฑ 18,163 ๆกใ€‚ๅŽŸๆ–‡ๅ’Œๅˆๆˆๆ•ฐๆฎ้ƒฝไธๅ…ฌๅผ€ใ€‚

่ฏ„ไผฐ

ๅˆ†ๆ•ฐๆ˜ฏโ€œๅƒ้ธญๅ“ฅๅ†™็š„โ€ๅˆ†็ฑปๅ™จๆฆ‚็އ P(ไฝœ่€…)๏ผŒ็ปŸไธ€็”จ v1.1 ๆ•ฐๆฎ่ฎญ็ปƒ็š„ๅˆ†็ฑปๅ™จๆ‰“ๅˆ†ใ€‚ๅˆ†็ฑปๅ™จ่ง ๆจกๅž‹ๅกใ€‚

ๆต‹่ฏ•่พ“ๅ…ฅ AI ่พ“ๅ…ฅ v1 ๆœฌๆจกๅž‹๏ผˆv1.1๏ผ‰ ้ธญๅ“ฅๅŽŸๆ–‡
27B ๆ”นๅ†™็š„็•™ๅ‡บๆฎต่ฝ๏ผˆ291๏ผ‰ 0.09 0.77 0.76 0.75
Gemini ๆ”นๅ†™็š„็•™ๅ‡บๆฎต่ฝ๏ผˆ285๏ผ‰ 0.02 0.76 0.74 0.75
DeepSeek ๆ”นๅ†™็š„็•™ๅ‡บๆฎต่ฝ๏ผˆ289๏ผ‰ 0.25 0.74 0.76 0.75
4 ็ฏ‡ AI ่ตท่‰็š„ๆ•ด็ฏ‡ๆ–‡็ซ ๏ผˆ147 ๆฎต๏ผ‰ 0.04 0.12 0.15 โ€”
  • ็•™ๅ‡บๆฎต่ฝไธŠ็š„ๅˆ†ๆ•ฐๅทฒ็ปๅ’ŒๅŽŸๆ–‡ๆŒๅนณ๏ผŒๅˆ†็ฑปๅ™จๅœจ่ฟ™้‡Œๅˆ†ไธๅ‡บ้ซ˜ไธ‹ใ€‚
  • ๆ•ด็ฏ‡ AI ๆ–‡็ซ ็š„ๆๅ‡ๆ˜ฏ็œŸๅฎž็š„๏ผŒไฝ†ๅน…ๅบฆๆœ‰้™๏ผšๅฎƒๅชๆขๆŽช่พž๏ผŒAI ๆ–‡็ซ ็š„็ป“ๆž„ๅ’Œ่ฎบ่ฏๅฅ—่ทฏ่ฟ˜ๅœจใ€‚
  • ไธŠไธ€็‰ˆ v1 ๅš่ฟ‡ไฝœ่€…ๆœฌไบบ็š„็›ฒ่ฏ„๏ผš20 ๆฎตๆจกๅž‹่พ“ๅ‡บ้‡Œ๏ผŒไฝœ่€…ๅˆค 16 ๆฎตๆ˜ฏ่‡ชๅทฑๅ†™็š„๏ผ›ไฝœ่€…่‡ชๅทฑ็š„็œŸๅŽŸๆ–‡๏ผŒ่ฎคๅ‡บไบ† 17 ๆฎตใ€‚v1.1 ๆฒกๆœ‰ๅ•็‹ฌๅš็›ฒ่ฏ„ใ€‚
  • ๆœฌ GGUF๏ผˆQ8_0๏ผ‰ๅ’Œ bf16 ๅŽŸ็‰ˆๅœจ vLLM ไธŠ็š„ๅฏนๆฏ”๏ผšๅ…ณๆމ้šๆœบๆ€งๆ—ถ๏ผŒ40 ๆฎต้‡Œ 25 ๆฎต้€ๅญ—็›ธๅŒ๏ผ›ๆญฃๅธธ้‡‡ๆ ทๆ—ถ๏ผŒๅ’ŒๅŽŸๆ–‡็š„็›ธไผผๅบฆไธ€่‡ด๏ผˆ0.784 ๅฏน 0.786๏ผ‰ใ€‚

ๅฑ€้™

  • ไผšๆœ‰ไบ‹ๅฎžๆผ‚็งป๏ผŒ่พ“ๅ‡บไธ่ƒฝ็›ดๆŽฅๅฝ“ๆœ€็ปˆ็จฟใ€‚ ๆ•ฐๅญ—ไฟ้™ฉๅชๆ‹ฆๅพ—ไฝๆ•ฐๅญ—ๅ’Œ้•ฟๅบฆใ€‚ๅฎžๆต‹ๅ‡บ็Žฐ่ฟ‡็š„ๆผ‚็งป๏ผš

    • ๅ…ณ็ณปๆ”น้”™๏ผšโ€œ่ขซ X ๆ”ถ่ดญ็š„ Yโ€ๅ˜ๆˆโ€œๅฏน X ๆŠ•ๅ…ฅโ€ฆโ€ฆๆ”ถ่ดญ็š„ Yโ€๏ผ›
    • ๅˆคๆ–ญๅผบๅบฆ่ขซๆ”พๅคง๏ผšโ€œๆ›ดๅคง็š„ๅ€ๆ•ฐโ€ๅ˜ๆˆโ€œๆŒ‡ๆ•ฐ็บงโ€๏ผ›
    • ๅˆ ๆމๅŠๅฅ่ฎบ็‚นๆˆ–้™ๅฎšๆกไปถ๏ผ›
    • ่ฏดๆ˜Žๆ–‡ๅ˜ๆˆ็ฌฌไธ€ไบบ็งฐ๏ผ›
    • ่กŒๅ†…ไปฃ็ ็š„ๅๅผ•ๅท่ขซๅŽปๆމ๏ผ›
    • ่ฐƒ้ซ˜ๆธฉๅบฆๅŽ๏ผŒ็ผ–ๅ‡บๅŽŸๆ–‡ๆฒกๆœ‰็š„่‹ฑๆ–‡ๅผ•่ฏญใ€‚

    ๆ”นๅฎŒ่ฆ้€ๆฎตๅฏน็…งๆ”นๅ†™ๅ‰ๅŽ๏ผŒๅชๆŠŠๆผ‚็งป็š„ๅญ—่ฏๆ”นๅ›žๅŽŸ็จฟ็š„่ฏดๆณ•๏ผŒๆผ‚็งปๅคชๅคšๅฐฑๆ•ดๆฎตๆขๅ›žๅŽŸๆ–‡ใ€‚

  • ้€ๆฎตๆ”นๅ†™ไผš่ฎฉๆŽ’็‰ˆไธ็ปŸไธ€ใ€‚ ๆ”น่ฟ‡็š„ๆฎต่ฝไผšๅธฆไธŠไฝœ่€…็š„ๆŽ’็‰ˆไน ๆƒฏ๏ผˆ็›ดๅผ•ๅทใ€ๅŠ่ง’ๆ‹ฌๅทใ€ไธญ่‹ฑๆ–‡ไธ็•™็ฉบๆ ผ๏ผ‰๏ผŒๆฒกๆ”น็š„้ƒจๅˆ†่ฟ˜ๆ˜ฏๅŽŸ็จฟๅ†™ๆณ•ใ€‚

  • ไธๆ”น็ป“ๆž„๏ผŒไธๆ ธๅฏนไบ‹ๅฎž๏ผŒๅŽŸ็จฟ้‡Œ็š„้”™่ฏฏไผšๅŽŸๆ ทไฟ็•™ใ€‚

  • ๅช้€‚ๅˆ AI ่ตท่‰็š„ๆ–‡ๅญ—๏ผŒ็”จๅœจไฝœ่€…ๆœฌไบบๆ‰‹ๅ†™็š„ๆ–‡ๅญ—ไธŠๅชไผšๆทปไนฑใ€‚

  • ่ฟ™ๆ˜ฏไธ€ไฝไฝœ่€…็š„ๆ–‡้ฃŽใ€‚่ฏทไธ่ฆ็”จๅฎƒๅ†’ๅ……ไฝœ่€…ๆœฌไบบๅ‘่กจๅ†…ๅฎนใ€‚

English summary

ai_smell_remover rewrites AI-drafted Chinese, paragraph by paragraph, into the voice of the author ้ธญๅ“ฅ (yage.ai). It changes wording only and keeps structure and facts. It is a LoRA on Qwen3.5-9B-Base (Apache-2.0), merged and quantized to Q8_0 GGUF.

  • Training: reverse-synthesized pairs. The author's own paragraphs were rewritten into AI prose by an open 27B model, Gemini 3.8 Flash and DeepSeek V4.1 Flash, then the pairs were flipped. The data is not released.
  • Serving: llama-server. Tested only on macOS (M3 Ultra); llama.cpp also runs on Linux and Windows.
  • Sampling: temperature 0.7, top_p 0.95, repetition penalty 1.05 applied over the whole prompt (repeat_last_n: 4096 in llama.cpp). Do not use LM Studio, which drops that setting.
  • Always fact-check the output against the input and revert drifted phrases.
  • Code and docs: https://github.com/grapeot/voice-lora.
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