Add .env template

.env.template

@@ -0,0 +1,46 @@
+# Required: Hugging Face token with read/write permissions for repositories and inference API
+# Get it from: https://huggingface.co/settings/tokens
+HF_TOKEN=your_hugging_face_token_here
+
+# Model Configuration
+# Choose ONE of the following model setups:
+
+## 1. For Hugging Face Serverless Inference (Default):
+MODEL=meta-llama/Llama-3.1-8B-Instruct
+# MODEL=Qwen/Qwen2.5-1.5B-Instruct
+# MODEL=mistralai/Mixtral-8x7B-Instruct-v0.1
+# MODEL=HuggingFaceH4/zephyr-7b-beta
+
+## 2. For OpenAI-compatible API:
+# OPENAI_BASE_URL=https://api.openai.com/v1/
+# MODEL=gpt-4
+# API_KEY=your_openai_api_key_here
+
+## 3. For Ollama:
+# OLLAMA_BASE_URL=http://127.0.0.1:11434/
+# MODEL=qwen2.5:32b-instruct-q5_K_S
+# TOKENIZER_ID=Qwen/Qwen2.5-32B-Instruct
+
+## 4. For VLLM:
+# VLLM_BASE_URL=http://127.0.0.1:8000/
+# MODEL=Qwen/Qwen2.5-1.5B-Instruct
+# TOKENIZER_ID=Qwen/Qwen2.5-1.5B-Instruct
+
+## 5. For Hugging Face Inference Endpoints or TGI:
+# HUGGINGFACE_BASE_URL=http://127.0.0.1:3000/
+# TOKENIZER_ID=meta-llama/Llama-3.1-8B-Instruct
+
+# Generation Settings (Optional - these are the defaults)
+MAX_NUM_TOKENS=2048
+MAX_NUM_ROWS=1000
+DEFAULT_BATCH_SIZE=5
+
+# Chat/SFT Configuration
+# Required for chat data generation with Llama or Qwen models
+# Options: "llama3", "qwen2", or custom template string
+MAGPIE_PRE_QUERY_TEMPLATE=llama3
+
+# Optional: Argilla Integration
+# Follow https://docs.argilla.io/latest/getting_started/quickstart/
+# ARGILLA_API_URL=https://[your-owner-name]-[your_space_name].hf.space
+# ARGILLA_API_KEY=your_argilla_api_key_here