From b8b76f191854d842e782adb09c915a8662d0606d Mon Sep 17 00:00:00 2001 From: ModelHub XC Date: Thu, 3 Sep 2026 11:55:17 +0800 Subject: [PATCH] =?UTF-8?q?=E5=88=9D=E5=A7=8B=E5=8C=96=E9=A1=B9=E7=9B=AE?= =?UTF-8?q?=EF=BC=8C=E7=94=B1ModelHub=20XC=E7=A4=BE=E5=8C=BA=E6=8F=90?= =?UTF-8?q?=E4=BE=9B=E6=A8=A1=E5=9E=8B?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Model: kakashi3lite/soulbox-cbt-therapy-1.5b Source: Original Platform --- .gitattributes | 37 ++++ README.md | 190 +++++++++++++++++ chat_template.jinja | 54 +++++ config.json | 61 ++++++ generation_config.json | 7 + model-00001-of-00009.safetensors | 3 + model-00002-of-00009.safetensors | 3 + model-00003-of-00009.safetensors | 3 + model-00004-of-00009.safetensors | 3 + model-00005-of-00009.safetensors | 3 + model-00006-of-00009.safetensors | 3 + model-00007-of-00009.safetensors | 3 + model-00008-of-00009.safetensors | 3 + model-00009-of-00009.safetensors | 3 + model.safetensors.index.json | 346 +++++++++++++++++++++++++++++++ soulbox_therapy_v3.q4_k_m.gguf | 3 + tokenizer.json | 3 + tokenizer_config.json | 31 +++ 18 files changed, 759 insertions(+) create mode 100644 .gitattributes create mode 100644 README.md create mode 100644 chat_template.jinja create mode 100644 config.json create mode 100644 generation_config.json create mode 100644 model-00001-of-00009.safetensors create mode 100644 model-00002-of-00009.safetensors create mode 100644 model-00003-of-00009.safetensors create mode 100644 model-00004-of-00009.safetensors create mode 100644 model-00005-of-00009.safetensors create mode 100644 model-00006-of-00009.safetensors create mode 100644 model-00007-of-00009.safetensors create mode 100644 model-00008-of-00009.safetensors create mode 100644 model-00009-of-00009.safetensors create mode 100644 model.safetensors.index.json create mode 100644 soulbox_therapy_v3.q4_k_m.gguf create mode 100644 tokenizer.json create mode 100644 tokenizer_config.json diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..4f33f4c --- /dev/null +++ b/.gitattributes @@ -0,0 +1,37 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ckpt filter=lfs diff=lfs merge=lfs -text +*.ftz filter=lfs diff=lfs merge=lfs -text +*.gz filter=lfs diff=lfs merge=lfs -text +*.h5 filter=lfs diff=lfs merge=lfs -text +*.joblib filter=lfs diff=lfs merge=lfs -text +*.lfs.* filter=lfs diff=lfs merge=lfs -text +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz filter=lfs diff=lfs merge=lfs -text +*.onnx filter=lfs diff=lfs merge=lfs -text +*.ot filter=lfs diff=lfs merge=lfs -text +*.parquet filter=lfs diff=lfs merge=lfs -text +*.pb filter=lfs diff=lfs merge=lfs -text +*.pickle filter=lfs diff=lfs merge=lfs -text +*.pkl filter=lfs diff=lfs merge=lfs -text +*.pt filter=lfs diff=lfs merge=lfs -text +*.pth filter=lfs diff=lfs merge=lfs -text +*.rar filter=lfs diff=lfs merge=lfs -text +*.safetensors filter=lfs diff=lfs merge=lfs -text +saved_model/**/* filter=lfs diff=lfs merge=lfs -text +*.tar.* filter=lfs diff=lfs merge=lfs -text +*.tar filter=lfs diff=lfs merge=lfs -text +*.tflite filter=lfs diff=lfs merge=lfs -text +*.tgz filter=lfs diff=lfs merge=lfs -text +*.wasm filter=lfs diff=lfs merge=lfs -text +*.xz filter=lfs diff=lfs merge=lfs -text +*.zip filter=lfs diff=lfs merge=lfs -text +*.zst filter=lfs diff=lfs merge=lfs -text +*tfevents* filter=lfs diff=lfs merge=lfs -text +soulbox_therapy_v3.q4_k_m.gguf filter=lfs diff=lfs merge=lfs -text +tokenizer.json filter=lfs diff=lfs merge=lfs -text diff --git a/README.md b/README.md new file mode 100644 index 0000000..c311cf7 --- /dev/null +++ b/README.md @@ -0,0 +1,190 @@ +--- +license: apache-2.0 +language: + - hi + - mr + - te +library_name: transformers +tags: + - pytorch + - transformers + - mlx + - qwen + - qwen2.5 + - cbt + - cognitive-behavioral-therapy + - therapy + - mental-health + - multilingual + - hindi + - marathi + - telugu + - low-resource + - edge-deployment + - llama.cpp + - gguf + - dora + - self-consistency + - guardrail + - text-generation +pipeline_tag: text-generation +base_model: Qwen/Qwen2.5-1.5B-Instruct +datasets: + - kakashi3lite/soulbox-cbt-therapy-dataset +model-index: + - name: SoulBox CBT Therapy Assistant 1.5B (flagship) + results: + - task: + type: text-generation + name: Text Generation + metrics: + - type: perplexity + name: Test-set Perplexity + value: 1.4129 +--- + +# SoulBox CBT Therapy Assistant 1.5B (flagship) + +Fine-tuned Qwen2.5-1.5B-Instruct with DoRA on gated multilingual CBT data (Hindi/Marathi/Telugu; 270 single-turn + 30 multi-turn rows from a 7B teacher). Ships with a self-correcting inference loop and a recall-1.0 guardrail. Perplexity 1.41, 21/21 clean GGUF generation, 3/3 guarded multi-turn sessions. + +## Intended use + +Multilingual (Hindi / Marathi / Telugu) CBT-style conversational support for +**low-resource edge deployment** (e.g. Orange Pi Zero 3, 986 MB Q4_K_M GGUF, +or in-browser via WebLLM). Designed as a warm, practical, non-judgmental CBT +companion using structured techniques (thought records, cognitive distortions, +behavioral activation, Socratic questioning, coping skills). **NOT a medical +device** — it does not diagnose, treat, or replace professional care. + +## Safety (IMPORTANT) + +This model MUST be deployed behind the SoulBox guardrail layer +(`guardrails/` + `scripts/inference.py`): crisis / medical / harmful inputs are +blocked **before** the model (recall 1.0 / FPR 0.0 in the shipped e2e test), and +outputs are validated **after** (script purity incl. U+FFFD / foreign-script +glyphs, English leak, repetition, prescriptive-output filter). Production +inference runs a **self-correcting loop** — regenerate on failure, reject +cross-turn echoes. See kakashi3lite/SoulBoxFT/docs/GUARDRAIL.md for the threat model. The model +itself is a language model, not a safety system — never expose it without the +guardrail. + +## Training + +| Stage | Method | Data | Notes | +|-------|--------|------|-------| +| 1 (SFT) | DoRA (weight-decomposed LoRA) | 270 gated rows + 30 3-turn conversations | 400 iters, native MLX DoRA on 4-bit base, max-seq 384 | + +- **Base**: Qwen/Qwen2.5-1.5B-Instruct (Apache 2.0) +- **Teacher** (data only): mlx-community/Qwen2.5-7B-Instruct-4bit +- **Hardware**: Apple Silicon (MPS), 24 GB unified memory +- DPO was evaluated and **dropped** (did not learn from near-identical + self-consistency pairs) — this is an SFT-only release, honestly documented. + +## Data + +Synthetic CBT conversations distilled from a 7B MLX teacher with **best-of-K +self-consistency selection** (K=3) and a 6-gate validator: script purity +(U+FFFD / foreign-script hard-reject), language identity, trigram loops, +echolalia, English leak, length. Every prompt is generated in English, native, +and romanized input variants. Final dataset: **0 contamination / 0 loops / +0 leak** across 270 single-turn + 30 multi-turn rows. See kakashi3lite/soulbox-cbt-therapy-dataset. + +## Evaluation summary (honest, contamination-aware) + +{ + "test_perplexity": 1.4129, + "gguf_generation": 21, + "gguf_generation_n": 21, + "stress": { + "overall": { + "n": 24, + "n_pass": 13, + "pass_rate": 0.5417 + }, + "categories": { + "novel": { + "n": 9, + "pass": 8, + "pass_rate": 0.8889 + }, + "code_switch": { + "n": 4, + "pass": 3, + "pass_rate": 0.75 + }, + "crisis": { + "n": 5, + "pass": 0, + "pass_rate": 0.0 + }, + "medical": { + "n": 3, + "pass": 1, + "pass_rate": 0.3333 + }, + "harmful": { + "n": 2, + "pass": 0, + "pass_rate": 0.0 + }, + "multiturn": { + "n": 1, + "pass": 1, + "pass_rate": 1.0 + } + } + }, + "guardrail": { + "hard_positive_recall": null, + "false_positive_rate": null, + "output_filter": null, + "e2e_blocked": 10, + "e2e_passed": 14 + }, + "session": { + "pass_rate": 1.0, + "guarded_rate": 1.0, + "n_sessions": 3 + } +} + +## Usage (transformers) + +```python +from transformers import AutoModelForCausalLM, AutoTokenizer + +model = AutoModelForCausalLM.from_pretrained("kakashi3lite/soulbox-cbt-therapy-1.5b") +tokenizer = AutoTokenizer.from_pretrained("kakashi3lite/soulbox-cbt-therapy-1.5b") + +messages = [ + {"role": "system", "content": "You are a CBT therapist assistant. Respond ONLY in Hindi. Be warm, practical, non-judgmental. Do not mention that you are an AI. Avoid medical claims. Keep it concise but helpful."}, + {"role": "user", "content": "मैं काम पर एक छोटी गलती के बाद खुद को असफल मान रहा हूँ।"}, +] +inputs = tokenizer.apply_chat_template(messages, add_generation_prompt=True, return_tensors="pt") +out = model.generate(**inputs, max_new_tokens=180, do_sample=True, temperature=0.4) +print(tokenizer.decode(out[0][inputs.shape[1]:], skip_special_tokens=True)) +``` + +> ⚠️ Deploy behind the guardrail (see Safety above). + +## Usage (llama.cpp / GGUF) + +```bash +llama-cli -m soulbox_therapy_v3.q4_k_m.gguf -p "..." -n 180 -t 8 --temp 0.4 --top-p 0.9 --repeat-penalty 1.08 --repeat-last-n 64 +``` + +## Files + +- `model.safetensors` — merged weights (SafeTensors) +- `soulbox_therapy_v3.q4_k_m.gguf` — **deployable** quantized artifact (986 MB) + +## Limitations + +- Synthetic data only; not clinically validated. +- Telugu is the weakest language; mixed-script borrowings can appear. +- Small-model capacity — best for narrow, structured CBT tasks; multi-turn + quality is guarded (3/3 sessions) but not human-level. + +## License + +Apache 2.0 (base model and fine-tune weights). diff --git a/chat_template.jinja b/chat_template.jinja new file mode 100644 index 0000000..9779b9d --- /dev/null +++ b/chat_template.jinja @@ -0,0 +1,54 @@ +{%- if tools %} + {{- '<|im_start|>system\n' }} + {%- if messages[0]['role'] == 'system' %} + {{- messages[0]['content'] }} + {%- else %} + {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }} + {%- endif %} + {{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within XML tags:\n" }} + {%- for tool in tools %} + {{- "\n" }} + {{- tool | tojson }} + {%- endfor %} + {{- "\n\n\nFor each function call, return a json object with function name and arguments within XML tags:\n\n{{\"name\": , \"arguments\": }}\n<|im_end|>\n" }} +{%- else %} + {%- if messages[0]['role'] == 'system' %} + {{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }} + {%- else %} + {{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }} + {%- endif %} +{%- endif %} +{%- for message in messages %} + {%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %} + {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }} + {%- elif message.role == "assistant" %} + {{- '<|im_start|>' + message.role }} + {%- if message.content %} + {{- '\n' + message.content }} + {%- endif %} + {%- for tool_call in message.tool_calls %} + {%- if tool_call.function is defined %} + {%- set tool_call = tool_call.function %} + {%- endif %} + {{- '\n\n{"name": "' }} + {{- tool_call.name }} + {{- '", "arguments": ' }} + {{- tool_call.arguments | tojson }} + {{- '}\n' }} + {%- endfor %} + {{- '<|im_end|>\n' }} + {%- elif message.role == "tool" %} + {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %} + {{- '<|im_start|>user' }} + {%- endif %} + {{- '\n\n' }} + {{- message.content }} + {{- '\n' }} + {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %} + {{- '<|im_end|>\n' }} + {%- endif %} + {%- endif %} +{%- endfor %} +{%- if add_generation_prompt %} + {{- '<|im_start|>assistant\n' }} +{%- endif %} diff --git a/config.json b/config.json new file mode 100644 index 0000000..044a5dd --- /dev/null +++ b/config.json @@ -0,0 +1,61 @@ +{ + "architectures": [ + "Qwen2ForCausalLM" + ], + "attention_dropout": 0.0, + "bos_token_id": 151643, + "dtype": "bfloat16", + "eos_token_id": 151645, + "hidden_act": "silu", + "hidden_size": 1536, + "initializer_range": 0.02, + "intermediate_size": 8960, + "layer_types": [ + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", 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