---
library_name: peft
base_model: meta-llama/Llama-2-7b-hf
license: mit
tags:
- API
- Testing
---

# Model Card for Model ID

Llama2 model fine tuned on different API's for generating test cases.



## Model Details

### Model Description

As a developer, testing is a major concern. Keeping this in mind, came up with this fine tuned LLaMA-2-7b on different API. Through this model you can upload your API's detail and test cases scenarios will be generated.



- **Developed by:** Anish Vantagodi
- **Funded by :** Kusho
- **Shared by :** Anish Vantagodi
- **Model type:** LlaMA-v7 Peft fine tuned
- **Language(s) (NLP):** English
- **License:** MIT
- **Finetuned from model [optional]:** meta-llama/Llama-2-7b-hf


## Uses

<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
Used for generating and testing API's

## Model Card Authors

Anish Vantagodi: https://github.com/anish2105

## 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: False
- bnb_4bit_compute_dtype: float16

### Framework versions


- PEFT 0.6.2