| --- |
| library_name: transformers |
| tags: |
| - llama-3.2 |
| - llama |
| - text-generation |
| - conversational |
| - fine-tuned |
| - loRA |
| - qlora |
| - generated_from_trainer |
| - it-support |
| - synthetic-data |
| base_model: meta-llama/Llama-3.2-3B-Instruct |
| license: llama3.2 |
| language: |
| - en |
| datasets: |
| - NotSure123/grumpy-it-dataset |
| --- |
| # Model Card for Grumpy-IT-Llama-3.2 |
|
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| ## Model Details |
|
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| ### Model Description |
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| **Grumpy-IT-Llama-3.2** is a specialized fine-tune of the **Llama-3.2-3B-Instruct** model, designed to simulate a highly competent but socially exhausted Systems Administrator. |
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| The model was trained using **Persona Steering** techniques to prioritize technical accuracy and brevity while strictly refusing non-technical "waste-of-time" requests (e.g., fixing chairs, coffee machines) with a sarcastic or direct tone. It serves as a demonstration of controlling LLM personality alignment using synthetic data and QLoRA. |
|
|
| - **Developed by:** Ashwath Srinivasan |
| - **Model type:** Causal Language Model (QLoRA Fine-tune) |
| - **Language(s) (NLP):** English (en) |
| - **License:** Llama 3.2 Community License |
| - **Finetuned from model:** [meta-llama/Llama-3.2-3B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct) |
|
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| ### Model Sources |
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| - **Repository:** https://github.com/ashwath-tech/llama-3.2-grumpy-it-finetune |
| - **Dataset:** https://huggingface.co/datasets/NotSure123/grumpy-it-dataset |
|
|
| ## Uses |
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| ### Direct Use |
| The model is intended for: |
| 1. **Simulation & Testing:** Testing how users interact with "difficult" or "direct" AI personalities. |
| 2. **IT Triage:** Automatically identifying and filtering out non-technical requests in a support queue context. |
| 3. **Entertainment:** As a chatbot that provides a humorous, cynical take on tech support. |
|
|
| ### Out-of-Scope Use |
| - **General Purpose Assistance:** This model is **not** a helpful assistant. It will likely refuse to write poems, summarize general news, or be polite. |
| - **Mental Health/Sensitive Contexts:** The model's abrasive tone makes it unsuitable for sensitive user interactions. |
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| ## Bias, Risks, and Limitations |
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| This model is intentionally biased to be **disagreeable** and **sarcastic**. |
| * **Tone:** It may produce output that users find rude or offensive. This is a design feature, not a bug. |
| * **Hallucination:** Like all small LLMs (3B parameters), it may hallucinate technical commands, though the training data prioritized accurate CLI commands. |
| * **Safety:** While it adheres to Llama 3.2 safety guardrails, its "mean" persona should not be deployed in customer-facing enterprise environments without a filtering layer. |
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|
| ### Recommendations |
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| <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> |
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| Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. |
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| ## How to Get Started with the Model |
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| See githib repository |
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| ## Training Details |
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| ### Training Data |
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| <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> |
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| [More Information Needed] |
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| ### Training Procedure |
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| <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. --> |
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| #### Preprocessing [optional] |
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| [More Information Needed] |
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| #### Training Hyperparameters |
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| - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> |
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| #### Speeds, Sizes, Times [optional] |
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| <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. --> |
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| [More Information Needed] |
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| ## Evaluation |
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|
| <!-- This section describes the evaluation protocols and provides the results. --> |
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| ### Testing Data, Factors & Metrics |
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| #### Testing Data |
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| <!-- This should link to a Dataset Card if possible. --> |
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| [More Information Needed] |
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| #### Factors |
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| <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. --> |
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| [More Information Needed] |
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| #### Metrics |
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| <!-- These are the evaluation metrics being used, ideally with a description of why. --> |
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| [More Information Needed] |
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| ### Results |
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| [More Information Needed] |
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| #### Summary |
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| ## Model Examination [optional] |
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| <!-- Relevant interpretability work for the model goes here --> |
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| [More Information Needed] |
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| ## Environmental Impact |
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| <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> |
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| Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). |
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| - **Hardware Type:** [More Information Needed] |
| - **Hours used:** [More Information Needed] |
| - **Cloud Provider:** [More Information Needed] |
| - **Compute Region:** [More Information Needed] |
| - **Carbon Emitted:** [More Information Needed] |
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| ## Technical Specifications [optional] |
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| ### Model Architecture and Objective |
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| [More Information Needed] |
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| ### Compute Infrastructure |
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| [More Information Needed] |
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| #### Hardware |
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| [More Information Needed] |
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| #### Software |
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| [More Information Needed] |
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| ## Citation [optional] |
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| <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> |
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| **BibTeX:** |
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| [More Information Needed] |
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| **APA:** |
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| [More Information Needed] |
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| ## Glossary [optional] |
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| <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. --> |
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| [More Information Needed] |
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| ## More Information [optional] |
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| [More Information Needed] |
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| ## Model Card Authors [optional] |
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| [More Information Needed] |
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| ## Model Card Contact |
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| [More Information Needed] |
