Randomly Initialized Models are machine learning models where the initial parameters, such as weights and biases, are assigned random values.
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reflex-ai/OLMoE-1B-5B
Text Generation
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reflex-ai/DeepScaleR-1.5B-Preview-Q4_K_M-GGUF
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reflex-ai/DeepScaleR-1.5B-Preview-Q4-mlx
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reflex-ai/test1
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reflex-ai/llama-MoE-0.5B
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reflex-ai/lynx-olmo-3b-base
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reflex-ai/AMD-Llama-350M-Upgraded
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reflex-ai/qwen2-0.5B-pretrained
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datasets
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reflex-ai/deepseek-r1-distill-llama-70b-synthetic
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reflex-ai/fineweb-ultra-mini-transformed-beta-preview
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10.5k
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reflex-ai/lynx-synthetic-collection
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reflex-ai/lynx-synthetic-instruct-collection
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reflex-ai/fineweb-ultra-mini-pro
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reflex-ai/fineweb-ultra-mini
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reflex-ai/fineweb-ultra-mini-beta
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