| --- |
| base_model: openbmb/MiniCPM5-1B-SFT |
| library_name: peft |
| pipeline_tag: text-generation |
| language: |
| - en |
| tags: |
| - peft |
| - lora |
| - qlora |
| - cbt |
| - journaling |
| - reflection |
| - mental-health |
| - build-small-hackathon |
| --- |
| |
| # InnerSpace CBT Reflection LoRA |
|
|
| InnerSpace CBT Reflection LoRA is a QLoRA adapter for `openbmb/MiniCPM5-1B-SFT`. |
| It is trained for the InnerSpace Hugging Face Space, a private journaling and |
| reflection app that turns a journal entry into a structured CBT-informed |
| reflection. |
|
|
| This adapter is not a clinical model. It does not provide diagnosis, treatment, |
| medical advice, crisis counseling, or a replacement for licensed care. |
|
|
| ## Intended Use |
|
|
| - Structured reflective journaling |
| - Gentle CBT-informed self-reflection |
| - Identifying emotions, affected life areas, and common cognitive distortions |
| - Producing a balanced reframe, tiny next step, and reflective question |
| - Brief follow-up coaching when the user responds with self-critical thoughts |
|
|
| ## Output Format |
|
|
| For journal analysis, the adapter is trained to produce exactly six sections: |
|
|
| ```text |
| === EMOTIONS === |
| === LIFE AREAS === |
| === COGNITIVE DISTORTIONS === |
| === BALANCED REFRAME === |
| === TINY NEXT STEP === |
| === REFLECTION === |
| ``` |
|
|
| For follow-up chat, the adapter is trained to stay brief, avoid hidden reasoning |
| tags, avoid business-style skill metrics, validate the feeling, separate feeling |
| from evidence, and ask one grounded question. |
|
|
| ## Training Recipe |
|
|
| - Base model: `openbmb/MiniCPM5-1B-SFT` |
| - Method: QLoRA with 4-bit NF4 quantization |
| - Adapter: rank 16 LoRA on attention projections |
| - Hardware: Modal NVIDIA A10G |
| - Training set: 30 structured journal examples and 15 multi-turn coach examples |
| - Sequence length: 1536 tokens |
| - App runtime: Hugging Face Space with local model execution only |
|
|
| ## Safety Notes |
|
|
| The model should respond with supportive reflection, not certainty. It should not |
| diagnose the user, prescribe treatment, provide crisis intervention, or claim to |
| know whether the user's thoughts are objectively true. For immediate danger or |
| crisis situations, users should contact local emergency services or a crisis |
| hotline. |
|
|
| ## Links |
|
|
| - Space: https://huggingface.co/spaces/build-small-hackathon/innerspace |
| - Source: https://github.com/awilliams88/innerspace |
| - Base model: https://huggingface.co/openbmb/MiniCPM5-1B-SFT |
|
|
