Spaces:
Running on Zero
Running on Zero
Commit History
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Update README.md Running
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Move to ZeroGPU: bf16 on cuda + @spaces.GPU on streaming handlers
Verified signature- import spaces before torch (CUDA emulation for module-level placement) - fp32 + quantize_dynamic INT8 (CPU-only) -> bf16 .to(cuda) at root module level - @spaces.GPU(duration=120) on compare, (duration=90) on _bot; both generators - move encoded inputs to cuda in both handlers - requirements: drop CPU torch index (need torch>=2.8 CUDA), add spaces - default GPU size (large); xlarge would cost 2x quota for a 250M model81c437a
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Multi-turn UX: new-chat button; example click resets conversation; 1k-token sliding-window history; 4th example (sleep)
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INT8 dynamic quant (~2x CPU, verified all 3 modes); add self-spec to chat mode selector
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Compare/chat prompts: drop count-based "three tips" (looks truncated at 48 tok); use self-contained short-answer prompts (ocean / neural net / exercise)
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Fix chat crash: gradio 6 Chatbot content is a list of parts; flatten to text before apply_chat_template
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Fix gradio 6.14: gr.Chatbot dropped the type= arg (messages is default)
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Custom chat layout: compact mode/max-tokens/temp controls above input; single-column examples (readable); header link to codelion/dhara-250m
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Disable example caching (HF Spaces defaults cache_examples=True) so example clicks generate live, not pre-baked
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Coherence: rep-penalty 1.3 in diffusion/self-spec (no more collapse); clip to last full sentence (no mid-word cutoff); exposed config panel (mode/max-tokens/temperature); greedy AR in compare; better default prompts
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Fix gradio 6 build: examples as list-of-lists (additional_inputs); move theme/css to launch()
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Chat mode toggle (AR/diffusion w/ live ▓▒░ denoise); streaming 3-mode compare reveal; max_new 128 + no_repeat_ngram
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Fixed-height scrollable chat; pass attention_mask (silence pad==eos warning); _enc helper
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Denoiser-terminal UI (mask-glyph aesthetic, amber CRT) + streaming per-mode compare with progress
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Link model (models: codelion/dhara-250m) for Spaces-using-this-model widget
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Add torch to requirements (gradio SDK base has no torch)
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remove Dockerfile (switched to gradio SDK)
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gradio SDK 6.14.0 (proven to import with hub 1.16) + transformers 5.5 + messages-format app
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Pin gradio==4.44.1 + use 4.x tuples ChatInterface API (model already loads)
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Switch to Docker SDK; pip-resolved transformers==5.5.0 + gradio (fixes tokenizer/HfFolder)
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Pin coherent stack (py3.12, gradio4.44, transformers<5, hub<1) to fix HfFolder/audioop; title ChatDhara
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Fix py3.13 gradio import: add audioop-lts (audioop removed in 3.13)
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dhara-chat tri-mode CPU demo
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initial commit
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