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Model: enochlev/MiniCPM-duplex
Source: Original Platform

README.md

@@ -0,0 +1,45 @@
+---
+language:
+- en
+- zh
+library_name: transformers
+tags:
+- minicpm
+- duplex
+- text-generation
+base_model: xinrongzhang2022/MiniCPM-duplex
+---
+
+# MiniCPM-duplex (safetensors)
+
+Modern safetensors conversion of [xinrongzhang2022/MiniCPM-duplex](https://huggingface.co/xinrongzhang2022/MiniCPM-duplex).
+
+**Weights are identical** — only the serialization format has changed from `pytorch_model.bin`
+to `model.safetensors`, enabling memory-mapped loading and compatibility with current
+versions of Transformers.
+
+## Usage
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+tokenizer = AutoTokenizer.from_pretrained(
+    "enochlev/MiniCPM-duplex", trust_remote_code=True)
+model = AutoModelForCausalLM.from_pretrained(
+    "enochlev/MiniCPM-duplex",
+    trust_remote_code=True,
+    dtype=torch.float16,
+    device_map="auto",
+)
+
+prompt = "<用户>Hello, what can you do?<AI>"
+inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
+out = model.generate(**inputs, max_new_tokens=256)
+print(tokenizer.decode(out[0], skip_special_tokens=True))
+```
+
+## Original model
+
+See [xinrongzhang2022/MiniCPM-duplex](https://huggingface.co/xinrongzhang2022/MiniCPM-duplex)
+for the original weights, paper, and full documentation.