LiquidAI/LFM2.5-8B-A1B
Text Generation • 8B • Updated • 47.7k • 430
Pomni
Pomni
AI & ML interests
Pushing my GTX 1080 to its limits 🚀 I managed to get a 13B model with full GPU offload running once with relatively low quality loss.
Recent Activity
liked a model 3 days ago
LiquidAI/LFM2.5-8B-A1B liked a model 17 days ago
Zyphra/ZAYA1-8B reacted to Crownelius's post with 🔥 about 1 month ago
My Huggingface journey has been a trip!
I wanted to take the time to thank each and every one of you for using my dataset and getting it to go as far as it did. Believe it or not, some neanderthal was and maybe still is trending on huggingface.
Not only did my dataset reach number one, my fine-tuned qwen3.5 model did as well. Top 10. Honestly, ain't much left to do here.
Y'all have given me the desire, no... the craving for more. I am absolutely obsessed with AI now. I want to tweak it... I want to take it apart, just to see what makes everything tick. I want to put it together like Frankenstein and his monster.
The only thing that's stopping this guy is compute. I don't mind spending every penny I have on this. I desperately want to drive AI forward, even just a little bit.
I never knew the clanker hater from a year ago would be saying this.
Thank you all from the bottom of my heart.
Looking forward to showing you what I'm cooking up next. @CompactAI is your only hint! Organizations
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My Huggingface journey has been a trip!
I wanted to take the time to thank each and every one of you for using my dataset and getting it to go as far as it did. Believe it or not, some neanderthal was and maybe still is trending on huggingface.
Not only did my dataset reach number one, my fine-tuned qwen3.5 model did as well. Top 10. Honestly, ain't much left to do here.
Y'all have given me the desire, no... the craving for more. I am absolutely obsessed with AI now. I want to tweak it... I want to take it apart, just to see what makes everything tick. I want to put it together like Frankenstein and his monster.
The only thing that's stopping this guy is compute. I don't mind spending every penny I have on this. I desperately want to drive AI forward, even just a little bit.
I never knew the clanker hater from a year ago would be saying this.
Thank you all from the bottom of my heart.
Looking forward to showing you what I'm cooking up next. @CompactAI is your only hint!
I wanted to take the time to thank each and every one of you for using my dataset and getting it to go as far as it did. Believe it or not, some neanderthal was and maybe still is trending on huggingface.
Not only did my dataset reach number one, my fine-tuned qwen3.5 model did as well. Top 10. Honestly, ain't much left to do here.
Y'all have given me the desire, no... the craving for more. I am absolutely obsessed with AI now. I want to tweak it... I want to take it apart, just to see what makes everything tick. I want to put it together like Frankenstein and his monster.
The only thing that's stopping this guy is compute. I don't mind spending every penny I have on this. I desperately want to drive AI forward, even just a little bit.
I never knew the clanker hater from a year ago would be saying this.
Thank you all from the bottom of my heart.
Looking forward to showing you what I'm cooking up next. @CompactAI is your only hint!
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reacted to Fourwheels2512's post with 🔥 about 2 months ago
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We trained Mistral 7B, Qwen 8B, Gemma 9B models on 5 domains sequentially to test catastrophic forgetting.
We achieved zero forgetting with medical knowledge retained at 100% after adding enterprise, finance, military, and real estate domains on top.
Most fine-tuned models catastrophically forget everything they learned when you train them on something new. We built a continual learning engine that prevents this. First of its kind.
We're shipping it as a SaaS platform at modelbrew.ai - dataset optimization + fine-tuning + continual learning in one pipeline.
I'm looking for ML fine-tuning engineers and researchers who want to test this. DM me or comment below.
We achieved zero forgetting with medical knowledge retained at 100% after adding enterprise, finance, military, and real estate domains on top.
Most fine-tuned models catastrophically forget everything they learned when you train them on something new. We built a continual learning engine that prevents this. First of its kind.
We're shipping it as a SaaS platform at modelbrew.ai - dataset optimization + fine-tuning + continual learning in one pipeline.
I'm looking for ML fine-tuning engineers and researchers who want to test this. DM me or comment below.
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