Faaz
Day 1 Complete: Tokenizer setup β Qwen2.5-Coder-7B base + 22 MINDI special tokens (vocab 151,685), wrapper class, full format test
11e0d89 | # ========================================== | |
| # MINDI 1.5 Vision-Coder β Environment Variables | |
| # ========================================== | |
| # Copy this file to .env and fill in your keys | |
| # NEVER commit .env to git! | |
| # ββ Project Identity ββ | |
| PROJECT_NAME=MINDI-1.5-Vision-Coder | |
| STARTUP_NAME=MINDIGENOUS.AI | |
| HF_USERNAME=Mindigenous | |
| # ββ HuggingFace ββ | |
| HUGGINGFACE_TOKEN=hf_your_token_here | |
| HUGGINGFACE_REPO=Mindigenous/MINDI-1.5-Vision-Coder | |
| # ββ Tavily (Web Search) ββ | |
| TAVILY_API_KEY=tvly-your_key_here | |
| MAX_SEARCH_RESULTS=5 | |
| SEARCH_TIMEOUT=30 | |
| # ββ Weights & Biases (Training Monitor) ββ | |
| WANDB_API_KEY=your_wandb_key_here | |
| WANDB_PROJECT=mindi-1.5-vision-coder | |
| WANDB_ENTITY=mindigenous | |
| # ββ E2B (Cloud Sandbox) ββ | |
| E2B_API_KEY=e2b_your_key_here | |
| SANDBOX_TYPE=e2b | |
| # ββ Model Settings ββ | |
| MODEL_NAME=Qwen/Qwen2.5-Coder-7B-Instruct | |
| BASE_MODEL_PATH=./checkpoints/base | |
| FINETUNED_MODEL_PATH=./checkpoints/finetuned | |
| # ββ API Settings ββ | |
| API_HOST=0.0.0.0 | |
| API_PORT=8000 | |
| API_WORKERS=4 | |
| # ββ Training Settings ββ | |
| DEVICE=cuda | |
| MIXED_PRECISION=bf16 | |
| MAX_SEQ_LENGTH=8192 | |
| TRAINING_OUTPUT_DIR=./checkpoints | |
| # ββ Directories ββ | |
| LOG_DIR=./logs | |
| DATA_DIR=./data | |
| CHECKPOINT_DIR=./checkpoints | |
| # ββ Cloud GPU (AMD MI300X on DigitalOcean) ββ | |
| CLOUD_GPU_HOST=your_cloud_gpu_ip | |
| CLOUD_GPU_USER=root | |
| CLOUD_GPU_SSH_KEY=~/.ssh/id_rsa | |