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@lyrics.tonmoy: হুম.! #bdtiktokofficial🇧🇩 #foryourpage #viralvideo #lyricsvideo #1m @TikTok @TikTok Bangladesh

Lyrics Tonmoy
Lyrics Tonmoy
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Region: BD
Tuesday 10 November 2026 15:23:17 GMT
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No Watermark .mp4 (0.93MB) Watermark .mp4 (0.93MB) Music .mp3

Comments

jannat89182
sk🍁Ajarul🍁🍁 :
দুঃখ পেয়েছি বারবার তবুও ছাড়িনি আশা সে কখনোই বুঝিনি আমার একতরফা ভালোবাসা..? 😅🥺
2026-11-10 22:24:02
0
sizan.ahmed054
Sizan :
ক্ষতি ক্ষত ক্ষয়,, আসলে এগুলা আপন জনদের কাছ থেকেই হয়...!! 🫠💔😅
2026-11-10 18:29:54
0
ronjueditblogger1
লালন ফকির :
লাভ ইউ গুরু
2026-11-12 03:27:56
0
mczara21
$zara$😎 :
ঠিক 😅💔
2026-11-10 15:31:07
0
lyricssujoy
♚ʟʏʀɪᴄᴤ ʙᴏʏ♚ :
2026-11-10 17:48:42
0
mczara21
$zara$😎 :
ফলো বেক দিবেন বরো ভাই
2026-11-10 15:39:03
0
gm.shamim.hosan
❤️‍🩹🎀!.ভন্ড প্রেমিক.!🎀❤️‍🩹 :
🥰🥰🥰
2026-11-10 15:28:05
1
nur107130
Tasu pakhi...💐 :
@TᴀSᴜ Pᴀᴋʜɪᴇᴇᴇ♡💐
2026-11-15 03:00:47
0
user783354469
👑👑Rabbi Islam👑👑 :
🥰🥰🥰
2026-11-10 15:55:16
0
sujon700600
🫀 S U J O N 🫀 🇲🇾🇲🇾🙃 :
😁😁😁
2026-11-11 06:34:45
0
orabbi777
MDRABBI🕊️💫💘 :
💝💝💝
2026-11-10 15:32:10
1
To see more videos from user @lyrics.tonmoy, please go to the Tikwm homepage.

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A 9B student beats DeepSeek V4 Pro on a math test. It is free, and the Q4_K_M file is 5.78 GB. Jackrong/DeepSeek-V4-Pro-Qwen3.5-9B is a Qwen3.5-9B fine-tune (Apache-2.0), trained on about 250,000 math and STEM answers written by DeepSeek-V4-Pro. On the model card's GSM8K table it scores 94.5 against 92.6 for DeepSeek-V4-Pro. On an MMLU-Pro sample it writes 2,858 reasoning tokens per question, the base Qwen3.5-9B 4,425. A community version called heretic, which cuts the refusal direction out of layers 9 to 24, was first on Hugging Face trending on Nov 12: refusals 3/100 instead of 100/100. Save this. Which model should I decode next? Tell me in the comments. Code: github.com/ArtyomITA Music:
A 9B student beats DeepSeek V4 Pro on a math test. It is free, and the Q4_K_M file is 5.78 GB. Jackrong/DeepSeek-V4-Pro-Qwen3.5-9B is a Qwen3.5-9B fine-tune (Apache-2.0), trained on about 250,000 math and STEM answers written by DeepSeek-V4-Pro. On the model card's GSM8K table it scores 94.5 against 92.6 for DeepSeek-V4-Pro. On an MMLU-Pro sample it writes 2,858 reasoning tokens per question, the base Qwen3.5-9B 4,425. A community version called heretic, which cuts the refusal direction out of layers 9 to 24, was first on Hugging Face trending on Nov 12: refusals 3/100 instead of 100/100. Save this. Which model should I decode next? Tell me in the comments. Code: github.com/ArtyomITA Music: "Late Night Radio" by Kevin MacLeod (incompetech.com), CC BY 4.0 #ai #llm #deepseek #qwen
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