初始化项目，由ModelHub XC社区提供模型

Model: ngxson/MiniThinky-1.7B-SmolLM2
Source: Original Platform

README.md

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+---
+library_name: transformers
+tags:
+- trl
+- sft
+base_model:
+- HuggingFaceTB/SmolLM2-1.7B-Instruct
+datasets:
+- ngxson/MiniThinky-dataset
+---
+
+# MiniThinky 1.7B (based on SmolLM2)
+
+> [!IMPORTANT]
+> This checkpoint still have a high loss value, so the model will hallucinate the response quite a lot.
+
+My first trial to fine tune a small model to add reasoning capability.
+
+Chat template is the same with llama 3, but the response will be as follow:
+
+```
+<|thinking|>{thinking_process}
+<|answer|>
+{real_answer}
+```
+
+## IMPORTANT: System message
+
+The model is **very sensitive** to system message. Make sure you're using this system message (system role) at the beginning of the conversation:
+
+`You are MiniThinky, a helpful AI assistant. You always think before giving the answer. Use <|thinking|> before thinking and <|answer|> before giving the answer.`
+
+---
+
+TODO: include more info here + maybe do some benchmarks? (Plz add a discussion if you're interested)