MINDI-1.5-Vision-Coder / .env.example
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!
# ── Project Identity ──
PROJECT_NAME=MINDI-1.5-Vision-Coder
STARTUP_NAME=MINDIGENOUS.AI
HF_USERNAME=Mindigenous
# ── HuggingFace ──
HUGGINGFACE_TOKEN=hf_your_token_here
HUGGINGFACE_REPO=Mindigenous/MINDI-1.5-Vision-Coder
# ── Tavily (Web Search) ──
TAVILY_API_KEY=tvly-your_key_here
MAX_SEARCH_RESULTS=5
SEARCH_TIMEOUT=30
# ── Weights & Biases (Training Monitor) ──
WANDB_API_KEY=your_wandb_key_here
WANDB_PROJECT=mindi-1.5-vision-coder
WANDB_ENTITY=mindigenous
# ── E2B (Cloud Sandbox) ──
E2B_API_KEY=e2b_your_key_here
SANDBOX_TYPE=e2b
# ── Model Settings ──
MODEL_NAME=Qwen/Qwen2.5-Coder-7B-Instruct
BASE_MODEL_PATH=./checkpoints/base
FINETUNED_MODEL_PATH=./checkpoints/finetuned
# ── API Settings ──
API_HOST=0.0.0.0
API_PORT=8000
API_WORKERS=4
# ── Training Settings ──
DEVICE=cuda
MIXED_PRECISION=bf16
MAX_SEQ_LENGTH=8192
TRAINING_OUTPUT_DIR=./checkpoints
# ── Directories ──
LOG_DIR=./logs
DATA_DIR=./data
CHECKPOINT_DIR=./checkpoints
# ── Cloud GPU (AMD MI300X on DigitalOcean) ──
CLOUD_GPU_HOST=your_cloud_gpu_ip
CLOUD_GPU_USER=root
CLOUD_GPU_SSH_KEY=~/.ssh/id_rsa