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llama2-api-test
ace2105/llama2-api-test
llama2-api-test is a machine learning model from ace2105. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as mit.
Llama2 model fine tuned on different API's for generating test cases.
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48
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Repo size
33.6 MB
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2
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At a glance
- Library
- peft
- License
- mit
- Access
- Public
- Created
- Dec 1, 2023
- Updated
- Dec 1, 2023
- SHA
- 522b65f1
Base models
Model card
From the Hugging Face model README
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
- Library
- peft
- License
- mit
- Created
- Dec 1, 2023
- Updated
- Dec 1, 2023