amazon/ALoDLM-1.7B开源了新模型
根据官方来源,amazon/ALoDLM-1.7B开源了新模型。详细信息请以原始来源为准。
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Amazon amazon/ALoDLM-1.7B amazon/ALoDLM-1.7B https://huggingface.co/amazon/ALoDLM-1.7B
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amazon/ALoDLM-1.7B · Hugging Face Hugging Face (https://huggingface.co/) Models (https://huggingface.co/models) Datasets (https://huggingface.co/datasets) Spaces (https://huggingface.co/spaces) Buckets new (https://huggingface.co/storage) Docs (https://huggingface.co/docs) Enterprise (https://huggingface.co/enterprise) Pricing (https://huggingface.co/pricing) Website Tasks (https://huggingface.co/tasks) HuggingChat (https://huggingface.co/chat) Collections (https://huggingface.co/collections) Languages (https://huggingface.co/languages) Organizations (https://huggingface.co/organizations) Community Blog (https://huggingface.co/blog) Posts (https://huggingface.co/posts) Daily Papers (https://huggingface.co/papers) Hardware (https://huggingface.co/hardware) Learn (https://huggingface.co/learn) Discord (https://huggingface.co/join/discord) Forum (https://discuss.huggingface.co/) GitHub (https://github.com/huggingface) Solutions Team & Enterprise (https://huggingface.co/enterprise) Hugging Face PRO (https://huggingface.co/pro) Enterprise Support (https://huggingface.co/support) Inference Providers (https://huggingface.co/inference/models) Inference Endpoints (https://huggingface.co/inference-endpoints) Storage Buckets (https://huggingface.co/storage) Log In (https://huggingface.co/login) Sign Up (https://huggingface.co/join) (https://huggingface.co/amazon) amazon (https://huggingface.co/amazon) / ALoDLM-1.7B (https://huggingface.co/amazon/ALoDLM-1.7B) Like 6 Follow Amazon 4.5k Text Generation (https://huggingface.co/models?pipeline_tag=text-generation) Safetensors (https://huggingface.co/models?library=safetensors) qwen3 (https://huggingface.co/models?other=qwen3) alodlm (https://huggingface.co/models?other=alodlm) diffusion-language-model (https://huggingface.co/models?other=diffusion-language-model) looped-transformer (https://huggingface.co/models?other=looped-transformer) adaptive-computation (https://huggingface.co/models?other=adaptive-computation) code (https://huggingface.co/models?other=code) conversational (https://huggingface.co/models?other=conversational) License: cc-by-nc-4.0 Model card (https://huggingface.co/amazon/ALoDLM-1.7B) Files Files and versions xet (https://huggingface.co/amazon/ALoDLM-1.7B/tree/main) Community 1 (https://huggingface.co/amazon/ALoDLM-1.7B/discussions) Copy to bucket new ALoDLM: Adaptively Looped Diffusion Language Models (https://huggingface.co/amazon/ALoDLM-1.7B#alodlm-adaptively-looped-diffusion-language-models) Research overview (https://huggingface.co/amazon/ALoDLM-1.7B#research-overview) Research performance (https://huggingface.co/amazon/ALoDLM-1.7B#research-performance) Intended use (https://huggingface.co/amazon/ALoDLM-1.7B#intended-use) Evaluation (https://huggingface.co/amazon/ALoDLM-1.7B#evaluation) Getting started (https://huggingface.co/amazon/ALoDLM-1.7B#getting-started) Optimized inference (https://huggingface.co/amazon/ALoDLM-1.7B#optimized-inference) Portable inference (https://huggingface.co/amazon/ALoDLM-1.7B#portable-inference) Setup notes (https://huggingface.co/amazon/ALoDLM-1.7B#setup-notes) Limitations and risks (https://huggingface.co/amazon/ALoDLM-1.7B#limitations-and-risks) Responsible AI Considerations (https://huggingface.co/amazon/ALoDLM-1.7B#responsible-ai-considerations) License and attribution (https://huggingface.co/amazon/ALoDLM-1.7B#license-and-attribution) (https://huggingface.co/amazon/ALoDLM-1.7B#alodlm-adaptively-looped-diffusion-language-models) ALoDLM: Adaptively Looped Diffusion Language Models ALoDLM is a family of diffusion language models developed at Amazon, available as ALoDLM-1.7B and ALoDLM-8B and initialized from the corresponding Qwen3 backbones. The models generate text and code by repeatedly applying shared transformer layers, preserving unresolved tokens' latent states, and adaptively allocating computation across token positions. Training data includes mathematical problems and wor
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