初始化项目，由ModelHub XC社区提供模型

Model: sbintuitions/tiny-lm-chat
Source: Original Platform

README.md

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+---
+license: mit
+datasets:
+- wikipedia
+- llm-jp/oasst1-21k-ja
+- llm-jp/oasst1-21k-en
+language:
+- ja
+- en
+---
+
+# tiny-lm
+
+This repository provides a tiny 16M parameters language model for debugging and testing purposes.
+This is created by tuning [sbintuitions/tiny-lm](https://huggingface.co/sbintuitions) with oasset1 datasets in Japanese and English.
+
+## How to use
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
+ 
+model = AutoModelForCausalLM.from_pretrained("sbintuitions/tiny-lm-chat", torch_dtype="auto")
+tokenizer = AutoTokenizer.from_pretrained("sbintuitions/tiny-lm-chat", use_fast=False)
+generator = pipeline("text-generation", model=model, tokenizer=tokenizer)
+
+prompt = tokenizer.apply_chat_template([{"role": "user", "content": "Hello!"}], add_generation_prompt=True, tokenize=False)
+print(generator(prompt, max_length=30, do_sample=True, top_k=100))
+```
+
+## Model architecture
+A 4-layer, 512-hidden-size transformer-based language model.
+
+## Training
+The model was first pre-trained on English Wikipedia and Japanese Wikipedia to optimize a traditional language modelling objective for 25B tokens.
+And then it was fine-tuned on oasst1 datasets in Japanese and English for 15 epochs.
+
+## License
+[MIT License](https://huggingface.co/sbintuitions/tiny-lm-chat/resolve/main/LICENSE)
+
+