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README.md

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+---
+language:
+- en
+license: llama2
+tags:
+- arcane
+- mental-health
+- crisis-analysis
+- distress-detection
+- nlp
+pipeline_tag: text-generation
+---
+
+# Arcane-7B
+
+**Arcane-7B** is an instruction-tuned 7-billion parameter language model specialized for mental health, distress detection, and crisis analysis. It analyzes conversational text and social interactions to deliver structured diagnostic insights and interpretable clinical reasoning.
+
+## Overview
+- **Model Size**: 7 Billion Parameters
+- **Primary Function**: Multi-task mental health evaluation & explainable distress scoring
+- **Supported Analysis**: Depression screening, stress cause identification, suicide risk detection, loneliness, and emotional wellbeing assessment.
+
+## Inference Example
+
+```python
+import torch
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+model_id = "ar3xop/arcane-7b"
+
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(
+    model_id,
+    torch_dtype=torch.float16,
+    device_map="auto"
+)
+
+prompt = 'Consider this post: "I feel completely overwhelmed by work and isolated lately." Question: What is the distress level and primary cause?'
+inputs = tokenizer(prompt, return_tensors="pt").to("cuda")
+
+outputs = model.generate(inputs.input_ids, max_length=512, temperature=0.7)
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+```