初始化项目，由ModelHub XC社区提供模型

Model: zenlm/zen-medical
Source: Original Platform

README.md

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+---
+license: apache-2.0
+language:
+- en
+tags:
+- zen
+- zenlm
+- hanzo-ai
+- medical
+- clinical
+- healthcare
+pipeline_tag: text-generation
+library_name: transformers
+base_model: zenlm/zen-pro
+---
+
+# Zen Medical
+
+> **Parameters**: 8B | **Architecture**: Zen 3 Architecture | **Context**: 32K | **License**: Apache 2.0 | **Released**: 2024-10-01
+
+Medical AI for clinical research, literature synthesis, pharmacology, and diagnostic support workflows.
+
+Designed for medical researchers and healthcare AI developers. Not for clinical diagnosis.
+
+Base weights: [zenlm/zen-pro](https://huggingface.co/zenlm/zen-pro)
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+model = AutoModelForCausalLM.from_pretrained("zenlm/zen-pro", torch_dtype="auto")
+tokenizer = AutoTokenizer.from_pretrained("zenlm/zen-pro")
+messages = [{"role": "user", "content": "Your domain-specific prompt here"}]
+text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+inputs = tokenizer(text, return_tensors="pt").to(model.device)
+output = model.generate(**inputs, max_new_tokens=1024)
+print(tokenizer.decode(output[0][inputs.input_ids.shape[-1]:], skip_special_tokens=True))
+```
+
+---
+## The Zen LM Family
+
+Joint research between **Hanzo AI** (Techstars '17), **Zoo Labs Foundation** (501c3), and **Lux Partners Limited**.
+
+All weights Apache 2.0. Download, run locally, fine-tune, deploy commercially.
+
+[HuggingFace](https://huggingface.co/zenlm) · [Chat](https://hanzo.chat) · [API](https://api.hanzo.ai) · [Docs](https://zenlm.org)