yulan-team/YuLan-Mini-Instruct-V1
Text Generation
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Dr. Chad PhD
Doctor-Chad-PhD
AI & ML interests
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🚀 OpenAI o3-mini Just Dropped – Here’s What You Need to Know!
OpenAI just launched o3-mini, a faster, smarter upgrade over o1-mini. It’s better at math, coding, and logic, making it more reliable for structured tasks. Now available in ChatGPT & API, with function calling, structured outputs, and system messages.
🔥 Why does this matter?
✅ Stronger in logic, coding, and structured reasoning
✅ Function calling now works reliably for API responses
✅ More stable & efficient for production tasks
✅ Faster responses with better accuracy
⚠️ Who should use it?
✔️ Great for coding, API calls, and structured Q&A
❌ Not meant for long conversations or complex reasoning (GPT-4 is better)
💡 Free users: Try it under “Reason” mode in ChatGPT
💡 Plus/Team users: Daily message limit tripled to 150/day!
new activity
18 days ago
tencent/Hunyuan-7B-Instruct:Request for GGUF support through llama.cpp
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🚀 OpenAI o3-mini Just Dropped – Here’s What You Need to Know!
OpenAI just launched o3-mini, a faster, smarter upgrade over o1-mini. It’s better at math, coding, and logic, making it more reliable for structured tasks. Now available in ChatGPT & API, with function calling, structured outputs, and system messages.
🔥 Why does this matter?
✅ Stronger in logic, coding, and structured reasoning
✅ Function calling now works reliably for API responses
✅ More stable & efficient for production tasks
✅ Faster responses with better accuracy
⚠️ Who should use it?
✔️ Great for coding, API calls, and structured Q&A
❌ Not meant for long conversations or complex reasoning (GPT-4 is better)
💡 Free users: Try it under “Reason” mode in ChatGPT
💡 Plus/Team users: Daily message limit tripled to 150/day!
OpenAI just launched o3-mini, a faster, smarter upgrade over o1-mini. It’s better at math, coding, and logic, making it more reliable for structured tasks. Now available in ChatGPT & API, with function calling, structured outputs, and system messages.
🔥 Why does this matter?
✅ Stronger in logic, coding, and structured reasoning
✅ Function calling now works reliably for API responses
✅ More stable & efficient for production tasks
✅ Faster responses with better accuracy
⚠️ Who should use it?
✔️ Great for coding, API calls, and structured Q&A
❌ Not meant for long conversations or complex reasoning (GPT-4 is better)
💡 Free users: Try it under “Reason” mode in ChatGPT
💡 Plus/Team users: Daily message limit tripled to 150/day!
- 2 replies
Request for GGUF support through llama.cpp
1
#1 opened 18 days ago
by
Doctor-Chad-PhD
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18 days ago
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19 days ago
Yes, I have tried them but I felt like it wasn't quite there yet, what were your thoughts on it? I have somewhat decent hardware but it takes a long time to get to the final answer on the distilled models.
Requesting Support for GGUF Quantization of Baichuan-M1-14B-Instruct through llama.cpp
#1 opened 19 days ago
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Doctor-Chad-PhD
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19 days ago
We need more affordable hardware first, most people aren't locally running a 685B model, and if they are it's usually slow.
Requesting Support for GGUF Quantization of MiniMax-Text-01 through llama.cpp
4
#1 opened 28 days ago
by
Doctor-Chad-PhD
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20 days ago
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cutechicken's
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25 days ago
Can you guys please stick to using one huggingface account?
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28 days ago
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28 days ago
Can't load the tokenizer
2
#3 opened 28 days ago
by
echooooooooo
fix architecture
2
#3 opened 28 days ago
by
TPM-28