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Revert to full N-ATLaS model - GGUF approaches failed
Fola-AI
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Fix llama-cpp-python loading - use hf_hub_download + Llama constructor
Fola-AI
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Use jllllll pre-built wheels for llama-cpp-python
Fola-AI
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Switch to llama-cpp-python for GGUF model - native quantized inference
Fola-AI
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Switch to llama-cpp-python for GGUF model - native quantized inference
Fola-AI
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Fix GGUF loading - add gguf_file parameter
Fola-AI
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Fix syntax error in natlas_model.py
Fola-AI
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Simplify translations - GGUF model with GPU is fast enough
Fola-AI
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Fix tuple unpacking error in treatment texts
Fola-AI
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Switch to GGUF model for 3x smaller download and faster inference
Fola-AI
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Optimize translation with batch processing - 5x faster
Fola-AI
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Fix numpy version for ultralytics compatibility
Fola-AI
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Upgrade to PyTorch 2.2.0 for ultralytics compatibility
Fola-AI
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Debug ultralytics installation with version pin
Fola-AI
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Fix ultralytics installation order
Fola-AI
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Fix ultralytics installation
Fola-AI
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Add compatibility stubs for HuggingFaceAPIClient
Fola-AI
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Use official N-ATLaS via transformers - no llama-cpp-python
Fola-AI
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Use PyTorch base image - faster build
Fola-AI
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Use pre-built llama-cpp-python wheel - fix timeout
Fola-AI
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Upgrade to GPU with GGUF model support
Fola-AI
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Fix timeout - make llama-cpp-python optional
Fola-AI
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Fix build - include llama-cpp-python in requirements
Fola-AI
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Fix timeout - use pre-built llama-cpp-python wheel
Fola-AI
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Fix Dockerfile - use libgl1 for Debian Trixie compatibility
Fola-AI
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Configure Git LFS for YOLOv11 model
Fola-AI
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Initial FarmEyes deployment - AI Powered Crop Disease Detection Program
Fola-AI
