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