初始化项目，由ModelHub XC社区提供模型

Model: build-small-hackathon/compliment-forest-minicpm5-1b
Source: Original Platform

README.md

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+---
+base_model: openbmb/MiniCPM5-1B
+library_name: transformers
+license: apache-2.0
+language:
+- en
+pipeline_tag: text-generation
+tags:
+- minicpm
+- openbmb
+- qlora
+- llama.cpp
+- structured-generation
+- build-small-hackathon
+datasets:
+- build-small-hackathon/compliment-forest-sft
+---
+
+# Compliment Forest MiniCPM5-1B
+
+This is the merged text fine-tune for
+[The Compliment Forest](https://huggingface.co/spaces/build-small-hackathon/compliment-forest).
+It turns a name and situation into schema-valid, situation-grounded forest JSON for the app's
+author pass. The same model also runs a bounded critic pass that prunes generic or redundant
+clearings.
+
+## Training
+
+- Base: `openbmb/MiniCPM5-1B` (Llama architecture, about 1.08B parameters)
+- Data: `build-small-hackathon/compliment-forest-sft`
+- Method: 4-bit NF4 QLoRA on Modal
+- LoRA: rank 16, alpha 32, dropout 0.05
+- Targets: attention and MLP projections
+- Sequence length: 2,048
+- Epochs: 2
+- Learning rate: 2e-4 with cosine decay
+- Runtime thinking mode: disabled for deterministic JSON generation
+
+The dataset was filtered for JSON validity, concrete situation grounding, non-toxic positivity,
+and short first-person spells. This model is for whimsical encouragement; it is not a therapist
+or a substitute for professional support.
+
+## Inference
+
+Use the base model's chat template with `enable_thinking=False`. The app enforces the output with
+Pydantic and retries malformed generations at most twice.
+
+The repository also includes a `Q4_K_M` GGUF build for local `llama.cpp` inference.
+
+## License
+
+Apache-2.0, following the base model and project code. Dataset source licenses are documented on
+the dataset card.