🧮 Model Card for dia-intent-sequencer-calculator-adapter
🧠 Model Details
This model is a parameter-efficient fine-tuning (PEFT) LoRA adapter, designed as a demonstration and testbed to evaluate intent sequencing using the DIA DSL module. It fine-tunes microsoft/Phi-4-mini-instruct to act as an intent sequencer, parsing basic compositional arithmetic expressions (combining integers with the operators +, -, *, /) into structured intent sequences using nested function calls (e.g., multiply(a=add(a=2, b=3), b=4)). See the dataset card for details on the range and distribution of integers used in training.
Specifically, the adapter evaluates the model's capability to:
handle nested, composable tool calls
generalize across randomized function and parameter names, emphasizing structural reasoning over memorization
It is provided for demonstration and experimentation purposes only.
Model type: LoRA adapter (PEFT)
Language(s): English
License: MIT
Finetuned from model:microsoft/Phi-4-mini-instruct
🚀 Uses
This adapter fine-tunes Phi-4-mini-instruct to parse basic compositional arithmetic expressions (combining integers with the operators +, -, *, /) into structured DIA DSL code. It supports nested expressions and randomized function/parameter names to help reduce memorization, encouraging structural understanding.
Example:
$ You are a precise intent sequencer. You parse the user's prompt and split it into atomic intents that match one of the defined intents below:
- intent: add
description: Add two numbers.
parameters:
- name: x
type: float
description: first number to add
optional: False
- name: y
type: float
description: second number to add
optional: False
return:
type: float
description: the sum of x and y
- intent: multiply
description: Multiply two numbers.
parameters:
- name: x
type: float
description: first number
optional: False
- name: y
type: float
description: second number
optional: False
return:
type: float
description: the product of x and y
...
> 3 + (2 * 4)
< add(x=3, y=multiply(x=2, y=4))
A held-out test using a test set containing basic arithmetic expressions with randomized tool and parameter names
A randomized test where the tool programmatically generates random examples of basic arithmetic expressions with randomized tool and parameter names
Metric: Functional equivalence — predicted trees are considered correct if they evaluate to the correct result
Results:
Randomized test (length 2-5):
Length 2 (no composition): 100.00%
Length 3 (1-level composition): 100.00%
Length 4 (2-and-3 level composition): 94.90%
Length 5 (up to 4-level composition): 88.60%
Held-out test set (length 3-6):
Length 3 (1-level composition): 98.73%
Length 4 (2-and-3 level composition): 98.77%
Length 5 (up to 4-level composition): 85.88%
Length 6 (up to 5-level composition): 74.75%
These results suggest that the DIA DSL has potential for composing function calls in structured symbolic tasks. This model is intended solely for demonstration purposes and should not be used beyond that scope.
⚠️ Disclaimer & Limitations
This adapter is intended solely as a demonstration and testbed for the DIA DSL module, showcasing its potential for composing function calls in structured symbolic tasks. It should not be used beyond that scope.
This adapter is provided as is, without warranties or guarantees of any kind. It is intended for demonstration and experimentation only.
🪪 License
This repository contains the weights and configuration for a LoRA adapter
derived from microsoft/Phi-4-mini-instruct (the base model).
The base model was created by Microsoft Corporation and is licensed
under the MIT License (see LICENSE.microsoft).
The adapter weights, configuration, and documentation in this
repository are licensed under the MIT License (see LICENSE).
📬 Contact
For questions, feedback, or bug reports, please open an issue on GitHub or start a discussion on the Hugging Face Hub.
