Update model card: add zen/zenlm tags, fix branding

README.md

@@ -1,55 +1,63 @@
 ---
+language: en
 license: apache-2.0
-language:
-- en
 tags:
-- zen
-- zenlm
-- hanzo
+  - text-generation
+  - zen
+  - zenlm
+  - hanzo
+  - code
+  - coding
+pipeline_tag: text-generation
 library_name: transformers
 ---
 
-# zen-coder
+# Zen Coder
 
-Code generation and analysis models (4B to 480B)
+Code generation and analysis model family spanning 4B to 480B parameters.
 
-Part of the Zen LM family of models - democratizing AI while protecting our planet.
+## Overview
 
-## Model Description
+Built on **Zen MoDE (Mixture of Distilled Experts)** architecture with 4B–480B parameters and 128K context window.
 
-Code generation and analysis models (4B to 480B)
-
-This model is part of the Zen LM ecosystem, providing efficient, private, and environmentally responsible AI.
-
-## Why Zen LM?
-
-🚀 **Ultra-Efficient** - Optimized for performance across diverse hardware  
-🔒 **Truly Private** - 100% local processing, no cloud required  
-🌱 **Environmentally Responsible** - 95% less energy than cloud AI  
-💚 **Free Forever** - Apache 2.0 licensed
+Developed by [Hanzo AI](https://hanzo.ai) and the [Zoo Labs Foundation](https://zoo.ngo).
 
 ## Quick Start
 
 ```python
 from transformers import AutoModelForCausalLM, AutoTokenizer
 
-model = AutoModelForCausalLM.from_pretrained("zenlm/zen-coder")
-tokenizer = AutoTokenizer.from_pretrained("zenlm/zen-coder")
+model_id = "zenlm/zen-coder"
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(model_id, torch_dtype="auto", device_map="auto")
 
-inputs = tokenizer("Your prompt here", return_tensors="pt")
-outputs = model.generate(**inputs)
-print(tokenizer.decode(outputs[0]))
+messages = [{"role": "user", "content": "Hello!"}]
+text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+inputs = tokenizer([text], return_tensors="pt").to(model.device)
+outputs = model.generate(**inputs, max_new_tokens=512)
+print(tokenizer.decode(outputs[0][inputs.input_ids.shape[1]:], skip_special_tokens=True))
 ```
 
-## Organizations
+## API Access
+
+```bash
+curl https://api.hanzo.ai/v1/chat/completions \
+  -H "Authorization: Bearer $HANZO_API_KEY" \
+  -H "Content-Type: application/json" \
+  -d '{"model": "zen-coder", "messages": [{"role": "user", "content": "Hello"}]}'
+```
 
-**Hanzo AI Inc** - Techstars Portfolio • Award-winning GenAI lab • https://hanzo.ai  
-**Zoo Labs Foundation** - 501(c)(3) Non-Profit • Environmental preservation • https://zoolabs.io
+Get your API key at [console.hanzo.ai](https://console.hanzo.ai) — $5 free credit on signup.
 
-## Contact
+## Model Details
 
-🌐 https://zenlm.org • 💬 https://discord.gg/hanzoai • 📧 hello@zenlm.org
+| Attribute | Value |
+|-----------|-------|
+| Parameters | 4B–480B |
+| Architecture | Zen MoDE |
+| Context | 128K tokens |
+| License | Apache 2.0 |
 
 ## License
 
-Models: Apache 2.0 • Privacy: No data collection
+Apache 2.0