facebook/MobileLLM-R1-950M
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MobileLLM
Optimizing Sub-billion Parameter Language Models for On-Device Use Cases (ICML 2024) https://arxiv.org/abs/2402.14905
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facebook/MobileLLM-R1-360M
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facebook/MobileLLM-R1-140M
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facebook/MobileLLM-R1-950M-base
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facebook/MobileLLM-R1-360M-base
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facebook/MobileLLM-R1-140M-base
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MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases
Paper • 2402.14905 • Published • 134 -
facebook/MobileLLM-125M
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facebook/MobileLLM-350M
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facebook/MobileLLM-600M
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facebook/MobileLLM-1B
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facebook/MobileLLM-1.5B
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facebook/MobileLLM-125M-layer-share
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facebook/MobileLLM-350M-layer-share
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ParetoQ: Scaling Laws in Extremely Low-bit LLM Quantization
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facebook/MobileLLM-ParetoQ-125M-BF16
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facebook/MobileLLM-ParetoQ-125M-1-bit
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facebook/MobileLLM-ParetoQ-125M-1.58-bit
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facebook/MobileLLM-ParetoQ-350M-BF16
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facebook/MobileLLM-ParetoQ-350M-1.58-bit
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facebook/MobileLLM-ParetoQ-600M-BF16
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facebook/MobileLLM-ParetoQ-600M-1-bit
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facebook/MobileLLM-ParetoQ-600M-1.58-bit
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facebook/MobileLLM-ParetoQ-1B-BF16
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facebook/MobileLLM-ParetoQ-1B-3-bit
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facebook/MobileLLM-ParetoQ-1.5B-BF16
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facebook/MobileLLM-ParetoQ-1.5B-1-bit
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facebook/MobileLLM-ParetoQ-1.5B-1.58-bit
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facebook/MobileLLM-ParetoQ-1.5B-4-bit
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