4c06c1dcc7* Studio: enable audio input for Gemma 4 GGUF models Audio file upload was disabled for Gemma 4 vision+audio GGUFs (e.g. gemma-4-12b-it-GGUF) even though their mmproj carries an audio encoder (clip.has_audio_encoder, gemma4ua). Two causes: - Audio-input detection only matched Gemma 3n's <audio_soft_token>; Gemma 4 uses <|audio|>, so audio_vlm was never detected. - The GGUF load/status responses hardcoded has_audio_input=False, so the flag was dropped even when audio_vlm was detected (affected Gemma 3n GGUFs too). Changes: - Recognize <|audio|> alongside <audio_soft_token> in the llama-server token probe and the tokenizer-config pattern. - Read clip.has_audio_encoder from the mmproj as an independent, model-agnostic signal (read_mmproj_audio_capability). - Emit the computed has_audio_input on the GGUF load/status responses. - Tests for the new pattern and the mmproj reader. * Studio: default chat model and dataset helper to Qwen3.5-4B-MTP Switch the auto-loaded chat default and the dataset-analysis helper GGUF from gemma-4-E2B-it to unsloth/Qwen3.5-4B-MTP-GGUF (UD-Q4_K_XL). * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> |
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| .. | ||
| data_recipe | ||
| .gitkeep | ||
| __init__.py | ||
| auth.py | ||
| chat_history.py | ||
| datasets.py | ||
| export.py | ||
| inference.py | ||
| mcp_servers.py | ||
| models.py | ||
| providers.py | ||
| settings.py | ||
| training.py | ||
| training_history.py | ||