Commit History

  1. Update app.py

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    5e03586
  2. Update README.md

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    c6e816c
  3. Update requirements.txt

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  4. Update app.py

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  5. Update app.py

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    de64679
  6. Update app.py

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    4418827
  7. Update app.py

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  8. Update app.py

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  9. feat(models): add Granite-4.0-Micro and Qwen3-4B-Instruct-2507 to MODELS registry⁠

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  10. feat(models): Added three new models⁠

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  1. add 5 models from liquid ai

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  1. add smollm2 135m multilingual

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  1. add parser_model_ner_gemma_v0 based on gemma 3 370m it

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  1. Add Gemma-3-270m Taiwan

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  1. add gemma-3-270m-it

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  1. remove prevously added breeze models (as it didn't work), add smollm 135m taiwan

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  1. add breeze models

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  1. add 3 sub-1B TW models from ShengweiPeng

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  1. add Qwen2.5-Taiwan-3B-Reason-GRPO & Llama-3.2-Taiwan-1B

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  2. disable cache for better compability

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  1. make qwen2.5-taiwan 1.5b the default

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  2. upgrade transforemrs to 4.53.3+

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  3. upgrade transformers to 4.46.1+

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  4. add timm to requirements

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  5. add access_token to model loader

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  6. add gemma 3n, smallthinker 4b0.6b and falcon h1-1.5b

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  1. rename duckduckgo_search to ddgs

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  2. remove qwen3 30ba3b & 32b, but add 14b

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  3. use fp8 version of qwen3 30ba3b & 32b

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  4. add autoawq

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  5. add qwe3 30ba3b awq & 30b awq

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  1. update prompt

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  2. update prompt

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  3. fix err in prompt

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  4. improve prompt for better web search result merging

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  5. Add D-R1-0528 8B, Nemotron 1.5B, Qwen2.5 Taiwan 1.5B

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  1. reduce rep penality to 1.2

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  2. increase rep penality as on many slms, reptition is frequent.

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  3. revert device_map to audo

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  4. Add smolLM2-135M GRPO and SmolLM2-360M

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  1. Update README.md

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  2. update readme

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  1. add Qwen2.5-Omni-3B & MiMo-7B-RL

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  2. disable models unrunnable on hf spaces

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  3. switch Phi-4-mini-Instruct" from unsloth to microsoft

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  4. extend max tokens

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  5. adjust layout

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  6. add "Granite-4.0-Tiny-Preview" model

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  7. add phi-4 reasonning and phi-4-mini reasonning

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  8. bugfix: set device to xpu by mistake

    1242438