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README.md

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+# Zen4 Coder Pro
+
+Zen4 Coder Pro — 80B MoE professional code generation model. Part of the Zen4 family.
+
+[![License](https://img.shields.io/badge/License-Apache_2.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)
+
+## Overview
+
+Zen4 Coder Pro is an 80B parameter Mixture-of-Experts model optimized for professional code generation, refactoring, and software engineering tasks. It activates 14B parameters per forward pass for efficient inference while maintaining frontier-level code quality.
+
+## Key Features
+
+- **80B total / 14B active** MoE architecture
+- **128K context window** for full-repository understanding
+- Multi-language: Python, TypeScript, Go, Rust, C/C++, Java, and 50+ languages
+- Strong performance on code completion, generation, repair, and explanation
+- Tool-use and agentic coding capabilities
+
+## Quickstart
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model_id = "zenlm/zen4-coder-pro"
+
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(
+    model_id,
+    torch_dtype="auto",
+    device_map="auto",
+)
+
+messages = [
+    {"role": "system", "content": "You are Zen, an expert software engineer."},
+    {"role": "user", "content": "Write a concurrent rate limiter in Go using token buckets."},
+]
+
+inputs = tokenizer.apply_chat_template(messages, return_tensors="pt").to(model.device)
+outputs = model.generate(inputs, max_new_tokens=2048)
+print(tokenizer.decode(outputs[0][inputs.shape[-1]:], skip_special_tokens=True))
+```
+
+## GGUF Quantized
+
+Quantized GGUF models for local inference with llama.cpp:
+
+- [zen4-coder-pro-Q4_K_M.gguf](https://huggingface.co/zenlm/zen4-coder-pro/resolve/main/zen4-coder-pro-Q4_K_M.gguf)
+- [zen4-coder-pro-Q8_0.gguf](https://huggingface.co/zenlm/zen4-coder-pro/resolve/main/zen4-coder-pro-Q8_0.gguf)
+
+## Zen4 Family
+
+| Model | Parameters | Focus |
+|-------|-----------|-------|
+| **Zen4 Ultra** | 405B dense | Frontier general |
+| **Zen4 Coder Pro** | 80B MoE | Professional coding |
+| Zen4 Coder | 32B | Code generation |
+| Zen4 | 32B | General purpose |
+| Zen4 Mini | 8B | Efficient deployment |
+
+## Related
+
+- [zen4-ultra](https://github.com/zenlm/zen4-ultra) — Frontier-scale model
+- [llama.cpp](https://github.com/zenlm/llama.cpp) — Optimized GGUF inference
+- [Zen LM](https://github.com/zenlm) — Full model family
+
+Apache 2.0 · [Zen LM](https://zenlm.org) · [Hanzo AI](https://hanzo.ai)