Remove os.chdir(save_directory) from export.py which was causing all of
unsloth-zoo's relative-path internals (check_llama_cpp, use_local_gguf,
_download_convert_hf_to_gguf) to resolve against the export directory
instead of the repo root. This caused llama.cpp to be cloned inside each
export dir and destroyed the repo root's llama-server build on cleanup.
Now passes absolute paths to save_pretrained_gguf so unsloth resolves
llama.cpp from the repo root where setup.sh already built it.
Also builds llama-quantize in setup.sh (needed by unsloth-zoo's export
pipeline) and symlinks it to llama.cpp root for check_llama_cpp().
- Replace datetime.UTC with datetime.timezone.utc in authentication.py and storage.py
- Fixes ImportError on Python versions < 3.11
- timezone.utc works on Python 3.9+
Resolves#237
Fixes two bugs:
1. Chat template tags (<|im_start|>, <|im_end|>) leaking into output
because /v1/completions treated them as literal text
2. Image hallucination because image_b64 was never passed to llama-server
Now llama-server handles chat templates natively and receives images
as OpenAI-format multimodal content parts for vision models.
Replace Python-side GGUF download with llama-server's native -hf flag for
HuggingFace repos. Add frontend variant picker so users can choose
quantization (Q4_K_M, Q8_0, BF16, etc.) with file sizes. Fix vision
detection via mmproj files instead of hardcoding is_vision=False.
- Added constrained dependency files for single-env installations: `constraints.txt`, `data-designer.txt`, and `data-designer-deps.txt`.
- Implemented a `patch_metadata.py` script to resolve metadata conflicts between dependency versions.
- Updated `setup.sh` to integrate single-env setup, including dependency installation and metadata patching.
- Upgraded `fastmcp` and `websockets` versions in `extras.txt` for compatibility.
- Commented out unused "Start Tutorial" button in `data-recipes-page.tsx`.
- Changed default eval_steps from 0.01 to 0.0 across backend and frontend
- Fixed UI to allow eval_steps=0 (removed min=0.001 constraint)
- Added conditional eval logic with helpful console messages
- Updated tooltip to explain how to disable evaluation
- Tested: confirmed eval disabled by default with eval_steps=0.0
