初始化项目，由ModelHub XC社区提供模型

Model: Gnayo/chronicle-llm-v0
Source: Original Platform

README.md

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+---
+language:
+- en
+license: mit
+tags:
+- gpt2
+- text-generation
+- historical
+- australian
+- pytorch
+---
+
+# Chronicle LLM v0 🇦🇺
+
+A GPT-style language model trained from scratch on Australian texts from 1850-1950.
+No fine-tuning. No modern weights. Built entirely from historical Australian writing.
+
+## Model Details
+
+- **Architecture:** GPT-2 decoder-only transformer
+- **Parameters:** 30M
+- **Training data:** 141 verified Australian texts, 55MB cleaned, ~14M tokens
+- **Training steps:** 20,000
+- **Final train loss:** 2.81
+- **Final val loss:** 4.68
+
+## Files
+
+- `model.safetensors` - model weights (HuggingFace format)
+- `chronicle_v0.gguf` - GGUF format for LM Studio and llama.cpp
+
+## Usage
+
+Load in LM Studio using the GGUF file, or via API:
+
+```python
+from transformers import GPT2LMHeadModel, GPT2Tokenizer
+
+model = GPT2LMHeadModel.from_pretrained("Gnayo/chronicle-llm-v0")
+tokenizer = GPT2Tokenizer.from_pretrained("Gnayo/chronicle-llm-v0")
+```
+
+## GitHub
+
+Full training code and documentation:
+https://github.com/ravipatib/ChronicleLLM