Fetching metadata from the HF Docker repository...
-
Fix: Complete MODEL_NAME string (add .3")
-
Fix: Add missing DEFAULT_SYSTEM_PROMPT variable
-
Switch to Mistral 7B Instruct - compatible and ready to fine-tune
-
Switch to Qwen 2.5 32B Instruct - powerful and compatible model
-
Switch back to original moonshotai/Kimi-K2-Instruct model
-
Switch to quantized model RedHatAI/Kimi-K2-Instruct-quantized.w4a16
-
Switch to Hugging Face Inference API for efficient model access
-
Optimize app.py with better memory management and simplified code
-
Remove model pre-download from Dockerfile - model will be downloaded at runtime
-
Fix indentation issues in download_model.py
-
Update Dockerfile to pre-download model during build
Add RUN command to execute download_model.py during container build to pre-cache the Kimi-K2-Instruct model -
Create download_model.py
Add download_model.py script for pre-downloading Kimi-K2-Instruct model during build -
Switch to Kimi-K2-Instruct model for better compatibility
-
Fix Gradio 6.x compatibility - remove show_copy_button and theme from Blocks
-
Update app.py with improved UI and error handling
-
Update Dockerfile with optimized settings for Kimi-K2
-
Add compressed-tensors and update dependencies for Kimi-K2
-
Apply patch BEFORE transformers import to fix is_torch_fx_available error
-
Fix import error by patching is_torch_fx_available function
-
Add tiktoken dependency for model tokenizer
-
Add application file to load Kimi-K2-Thinking model
-
Add requirements for model loading
-
Add Dockerfile for development environment
-
initial commit
