We worked with @UnslothAI to bring up-to-date notebooks for LFM2.5 It covers SFT, GRPO, and CPT with text and vision (SFT-only). Continued pre-training is particularly nice with the base model for text completion and translation examples.
@maximelabonne
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User Prefers Claude Over ChatGPT Subscription
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Oh no! Take my ChatGPT subscription but don't touch Claude
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Lightricks AI Model Trends on Social Media Platform
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We're trending! And congrats to @Lightricks for their amazing model
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Small Models Over Large: Efficiency and Memory Footprint
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Reject big models, embrace small memory footprint
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AI Model Now Available on Hugging Face Platform
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The model is available today on @huggingface with examples and a quick start tutorial!
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AMD Ryzen AI MAX+ 395 Delivers Impressive Fast Processing Speed
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You also get faster processing time for free. The AMD Ryzen AI MAX+ 395 was really, really fast.
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AMD Evaluates 2.6B Language Model Performance with GAIA Framework
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Nice bit: the 2.6B works well, even with long meetings with 10k tokens It was a pleasure working with the AMD team, who evaluated all the models with their GAIA framework
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LFM2-2.6B: On-Device Meeting Summarization with Cloud Quality
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LFM2-2.6B-Transcript @AMD🤝@liquidai
— Maxime Labonne @ ICLR (@maximelabonne) 7 janvier 2026
> Private, on-device meeting summarization
> Cloud-level quality
> Faster processing, lower memory footprint
> Runs across CPU, GPU, and NPU on AMD Ryzen AI PC
Great showcase of what tiny models can achieve when fine-tuned pic.twitter.com/5kQXfE9j1fLFM2-2.6B-Transcript @AMD
@liquidai > Private, on-device meeting summarization
> Cloud-level quality
> Faster processing, lower memory footprint
> Runs across CPU, GPU, and NPU on AMD Ryzen AI PC Great showcase of what tiny models can achieve when fine-tuned