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:

=== 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.

Model tree for build-small-hackathon/inner-space-1b-sft-cbt

Base model

openbmb/MiniCPM5-1B-SFT

Adapter

(1)

this model

build-small-hackathon
/

inner-space-1b-sft-cbt