初始化项目，由ModelHub XC社区提供模型

Model: FractalSurfer/TimeCapsuleLLM-v2-1800-1875-mlx-fp16
Source: Original Platform

README.md

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+---
+license: mit
+language:
+- en
+pipeline_tag: text-generation
+library_name: transformers
+tags:
+- llama
+- historical
+- causal-lm
+- mlx
+- mlx-my-repo
+base_model: haykgrigorian/TimeCapsuleLLM-v2-1800-1875
+---
+
+# FractalSurfer/TimeCapsuleLLM-v2-1800-1875-mlx-fp16
+
+The Model [FractalSurfer/TimeCapsuleLLM-v2-1800-1875-mlx-fp16](https://huggingface.co/FractalSurfer/TimeCapsuleLLM-v2-1800-1875-mlx-fp16) was converted to MLX format from [haykgrigorian/TimeCapsuleLLM-v2-1800-1875](https://huggingface.co/haykgrigorian/TimeCapsuleLLM-v2-1800-1875) using mlx-lm version **0.29.1**.
+
+## Use with mlx
+
+```bash
+pip install mlx-lm
+```
+
+```python
+from mlx_lm import load, generate
+
+model, tokenizer = load("FractalSurfer/TimeCapsuleLLM-v2-1800-1875-mlx-fp16")
+
+prompt="hello"
+
+if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
+    messages = [{"role": "user", "content": prompt}]
+    prompt = tokenizer.apply_chat_template(
+        messages, tokenize=False, add_generation_prompt=True
+    )
+
+response = generate(model, tokenizer, prompt=prompt, verbose=True)
+```