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Abdennacer Badaoui
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You can now run MiniMax-2.5 locally! 🚀 At 230B parameters, MiniMax-2.5 is the strongest LLM under 700B params, delivering SOTA agentic coding & chat. Run Dynamic 3/4-bit on a 128GB Mac for 20 tokens/s. Guide: https://unsloth.ai/docs/models/minimax-2.5 GGUF: https://huggingface.co/unsloth/MiniMax-M2.5-GGUF
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How to Use Multiple GPUs in Hugging Face Transformers: Device Map vs Tensor Parallelism
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We collaborated with Hugging Face to enable you to train MoE models 12× faster with 35% less VRAM via our new Triton kernels (no accuracy loss). 🤗 Train gpt-oss locally on 12.8GB VRAM with our free notebooks: https://unsloth.ai/docs/new/faster-moe
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