Model Card for Model ID
Trained on the Indian GST and Service Tax legal pronouncements till 2023
Model Details
Model Description
- Developed by: [Suvir Misra, Commissioner, GST, India]
- Shared by [optional]: [Suvir Misra, Commissioner, GST, India]
- Model type: [Llama-2-7B-Chat]
- Language(s) (NLP): [English]
- License: [apache-2.0]
- Finetuned from model [optional]: [TheBloke/Llama-2-7B-Chat-GPTQ]
Model Sources [optional]
TheBloke/Llama-2-7B-Chat-GPTQ
- Repository: [More Information Needed]
- Paper [optional]: [More Information Needed]
- Demo [optional]: [More Information Needed]
Uses
Try asking some question on the GST or Service Tax law/ ruling till the year 2023.
Direct Use
Try asking some question on the GST or Service Tax law/ ruling till the year 2023.
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Downstream Use [optional]
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Out-of-Scope Use
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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
Use the code below to get started with the model.
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Training Details
Training Data
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Training Procedure
Preprocessing [optional]
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Training Hyperparameters
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Speeds, Sizes, Times [optional]
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Evaluation
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
Carbon emissions can be estimated using the
Machine Learning Impact calculator presented in
Lacoste et al. (2019).
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- Hours used: [More Information Needed]
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Technical Specifications [optional]
Model Architecture and Objective
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Compute Infrastructure
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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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Model Card Authors [optional]
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Model Card Contact
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Training procedure
The following bitsandbytes quantization config was used during training:
- quant_method: gptq
- bits: 4
- tokenizer: None
- dataset: None
- group_size: 128
- damp_percent: 0.01
- desc_act: False
- sym: True
- true_sequential: True
- use_cuda_fp16: False
- model_seqlen: None
- block_name_to_quantize: None
- module_name_preceding_first_block: None
- batch_size: 1
- pad_token_id: None
- disable_exllama: False
- max_input_length: None
Framework versions
