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--- |
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base_model: meta-llama/Meta-Llama-3-8B-Instruct |
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library_name: peft |
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license: mit |
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tags: |
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- llama-factory |
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- lora |
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- generated_from_trainer |
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model-index: |
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- name: sft |
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results: [] |
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pipeline_tag: text-generation |
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--- |
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## Introduction |
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A predictive weak LLM for translating user chat to a specific transformation task. This model is fine-tuned on a curated training dataset that collects common transformation tasks in the wild. |
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Users can interact with the model via 1) direct chat; 2) providing example pairs; 3) describing patterns or mixed input. |
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This model will predict the most suitable task and return operator & coding instructions accordingly. |
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This model can classify the following data transformation tasks: |
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1. Format: related to value consistency without arithmetic relation, e.g., to lower case, ABC → abc. |
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2. UnitConvert: transform regular metrics using a range of measurement unit scales, e.g., Hour → Minute, Kilogram→ Pound. |
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3. Extract: generally driven by Regex, e.g., ABC → BC. |
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4. DomainCalculate: convert cross-domain value by calculation, often observed in numerics, e.g., Unix timestamp → Local time with timezone. |
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5. DomainMap: convert cross-domain value by mapping relation, often observed in categorical case, e.g., Color RGB → Hex. |
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6. Transform: default, if none of the above all |
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--- |
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## Examples |
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User chat + example-pair |
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- Unit Conversion |
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``` |
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### Instruction ### |
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kgs to pounds, one digit after the decimal, rounding |
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### Examples ### |
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Input: 2 |
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Output: 4.4 |
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Input: 3 |
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Output: 6.6 |
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``` |
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unit_convert(): Convert kilograms to pounds, rounding to one decimal place |
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- Month number to name |
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``` |
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### Instruction ### |
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convert month number to month name |
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### Examples ### |
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Input: 7 |
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Output: July |
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Input: 12 |
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Output: December |
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``` |
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domain_map(): Convert a month number to its corresponding month name. |
