mechanic-falcon-7b

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Model Details

Model Description

The Falcon-7b model has been fine-tuned on a dataset of car repairs and maintenance questions and answers. It is designed to provide detailed and informative responses to queries related to car maintenance and repair.

• Developed by: Osas Usen
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• Finetuned from model [optional]: tiiuae/falcon-7b

Model Sources [optional]

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Uses

Direct Use

This model can be used directly to answer car maintenance and repair questions with detailed and informative responses.

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Downstream Use [optional]

This model can also be fine-tuned for specific tasks or integrated into applications related to automotive maintenance and support.

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Out-of-Scope Use

Misuse or malicious use of the model is out of scope, and it may not perform well for tasks unrelated to car repairs and maintenance.

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Bias, Risks, and Limitations

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Recommendations

Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.

How to Get Started with the Model

To get started with the model, use the provided code and guidelines. Customizations for specific applications may be necessary.

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Training Details

Training Data

The model was fine-tuned on a dataset of car repairs and maintenance questions and answers. Additional information on the training data is available in the Data Card.

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Training Procedure

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Preprocessing [optional]

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Training Hyperparameters

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Evaluation

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Testing Data, Factors & Metrics

Testing Data

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Factors

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Metrics

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Results

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Summary

Model Examination [optional]

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Environmental Impact

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Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

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Technical Specifications [optional]

Model Architecture and Objective

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Hardware

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Software

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Citation [optional]

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Glossary [optional]

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Training procedure

The following bitsandbytes quantization config was used during training:

• quant_method: bitsandbytes
• load_in_8bit: False
• load_in_4bit: True
• llm_int8_threshold: 6.0
• llm_int8_skip_modules: None
• llm_int8_enable_fp32_cpu_offload: False
• llm_int8_has_fp16_weight: False
• bnb_4bit_quant_type: nf4
• bnb_4bit_use_double_quant: True
• bnb_4bit_compute_dtype: bfloat16

Framework versions

• PEFT 0.6.0.dev0