Fetching metadata from the HF Docker repository...
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Drop attention_mask at inference: the checkpoint was trained without one, and generate()'s auto-mask degenerates the output
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Serve with greedy decoding: sampling hallucinates on this lightly-tuned checkpoint
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Upload README.md with huggingface_hub
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count wording: attention types, not mechanisms
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list 7Attn and 11Attn in Space models metadata
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add Aether family section (7Attn, 11Attn, checkpoints, blog)
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sync Aether family cross-links
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Upload README.md with huggingface_hub
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clarify: the live demo answers with the -it model, not the base
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fix: unwrap BatchEncoding from apply_chat_template before generate()
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diagnostics: full traceback in gen_error
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diagnostics: surface gen_error + vram in /api/health
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serving: manual load + GenerationMixin + use_cache=False + streaming
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add blog article badge
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link intermediate-checkpoints dataset
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serving: manual load + GenerationMixin + use_cache=False + streaming
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serving: manual load + GenerationMixin + use_cache=False + streaming
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serving: manual load + GenerationMixin + use_cache=False + streaming
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fix README short_description
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add index.html
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add app.py
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add requirements.txt
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add Dockerfile
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initial commit