Gadsdencode/Nomadic-ICDU-v8
Nomadic-ICDU-v8 by Gadsdencode is a 7.25 billion parameter instruction-tuned language model based on Mistral-7B-Instruct-v0.3. It is specifically designed to implement the ICDU (Intent, Constraints, Decision rules, Uncertainty handling) approach, aiming to improve task-specific behavior by explicitly defining workflow operating contracts. This model excels at following defined operating envelopes more consistently for tasks like drafting, classification, summarization, and decision support within tested parameters.
Loading preview...
Nomadic-ICDU-v8: Intent-Driven Task Specialization
Nomadic-ICDU-v8 is a 7.25 billion parameter instruction-tuned model developed by Gadsdencode, built upon Mistral-7B-Instruct-v0.3. Its core innovation is the ICDU (Intent, Constraints, Decision rules, Uncertainty handling) approach, which represents tasks as explicit, testable units of intent. This methodology allows the model to be fine-tuned and evaluated against the specific purpose, principles, constraints, decision rules, and expected behavior of a workflow, aiming for more consistent adherence than generic instruction models.
Key Capabilities & Training
- Task-Specific Behavior: Designed to follow explicit operating contracts, including user intent, governing principles, roles, constraints, and decision rules.
- Consistent Adherence: Aims to maintain defined behavior even when requests are paraphrased, partially specified, or under conflicting pressure.
- Training Methodology: Utilizes a multi-stage process including supervised fine-tuning with QLoRA and preference tuning (DPO) where applicable, followed by stress-testing and evaluation against task-specific gates.
- Context Length: Declares a maximum context length of 32,768 tokens, though effective recall at this length requires task-specific testing.
Intended Uses
- ICDU Research & Evaluation: Ideal for studying and evaluating ICDU-based task specialization.
- Workflow Prototypes: Suitable for building prototypes with explicit intent, constraints, and escalation rules.
- Decision Support: Effective for drafting, classification, summarization, and decision support within a tested operating envelope.
- Policy-Sensitive Workflows: Can support regulated workflows with qualified human review.
Limitations
It is important to note that Nomadic-ICDU-v8 currently lacks published benchmark reports and comprehensive training data disclosure. Users should be aware of potential hallucinations, prompt sensitivity, and base-model limits inherent to a 7B-class model. It is best used as a component within a governed workflow rather than an independent authority.