|
--- |
|
library_name: peft |
|
base_model: NousResearch/Llama-2-7b-chat-hf |
|
--- |
|
|
|
# Model Card for Model ID |
|
|
|
<!-- Provide a quick summary of what the model is/does. --> |
|
|
|
|
|
|
|
## Model Details |
|
|
|
### Model Description |
|
|
|
<!-- Provide a longer summary of what this model is. --> |
|
|
|
|
|
|
|
- **Developed by:** [More Information Needed] |
|
- **Funded by [optional]:** [More Information Needed] |
|
- **Shared by [optional]:** [More Information Needed] |
|
- **Model type:** [More Information Needed] |
|
- **Language(s) (NLP):** [More Information Needed] |
|
- **License:** [More Information Needed] |
|
- **Finetuned from model [optional]:** [More Information Needed] |
|
|
|
### Model Sources [optional] |
|
|
|
<!-- Provide the basic links for the model. --> |
|
|
|
- **Repository:** [More Information Needed] |
|
- **Paper [optional]:** [More Information Needed] |
|
- **Demo [optional]:** [More Information Needed] |
|
|
|
## 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. --> |
|
|
|
#code |
|
|
|
'''python |
|
|
|
#testing and loading model |
|
|
|
import torch, gc |
|
gc.collect() |
|
torch.cuda.empty_cache() |
|
|
|
import numpy as np |
|
import pandas as pd |
|
import os |
|
from tqdm import tqdm |
|
import bitsandbytes as bnb |
|
import torch |
|
import torch.nn as nn |
|
import transformers |
|
from datasets import Dataset |
|
from peft import LoraConfig, PeftConfig |
|
from trl import SFTTrainer |
|
from transformers import (AutoModelForCausalLM, |
|
AutoTokenizer, |
|
BitsAndBytesConfig, |
|
TrainingArguments, |
|
pipeline, |
|
logging) |
|
from sklearn.metrics import (accuracy_score, |
|
classification_report, |
|
confusion_matrix) |
|
from sklearn.model_selection import train_test_split |
|
|
|
from datasets import load_dataset |
|
from peft import LoraConfig, PeftModel |
|
|
|
device_map = {"": 0} |
|
PEFT_MODEL = "kr-manish/Llama-2-7b-chat-finetune-for-textGeneration" |
|
#model_name = "NousResearch/Llama-2-7b-hf" |
|
|
|
config = PeftConfig.from_pretrained(PEFT_MODEL) |
|
|
|
model = AutoModelForCausalLM.from_pretrained( |
|
config.base_model_name_or_path, |
|
low_cpu_mem_usage=True, |
|
return_dict=True, |
|
#quantization_config=bnb_config, |
|
device_map="auto", |
|
#trust_remote_code=True, |
|
torch_dtype=torch.float16, |
|
) |
|
|
|
tokenizer=AutoTokenizer.from_pretrained(config.base_model_name_or_path) |
|
tokenizer.pad_token = tokenizer.eos_token |
|
|
|
load_model = PeftModel.from_pretrained(model, PEFT_MODEL) |
|
|
|
test1 ="How to own a plane in the United States?" |
|
prompt_test = test1 |
|
pipe_test = pipeline(task="text-generation", |
|
model=load_model, |
|
tokenizer=tokenizer, |
|
#max_length =20, |
|
max_new_tokens =25, |
|
temperature = 0.0, |
|
|
|
) |
|
result_test = pipe_test(prompt_test) |
|
#answer = result[0]['generated_text'].split("=")[-1] |
|
answer_test = result_test[0]['generated_text'] |
|
answer_test |
|
|
|
#How to own a plane in the United States?\n\nIn the United States, owning a plane is a significant investment and requires careful planning and research. Here are |
|
|
|
''' |
|
### Direct Use |
|
|
|
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. --> |
|
|
|
[More Information Needed] |
|
|
|
### Downstream Use [optional] |
|
|
|
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> |
|
|
|
[More Information Needed] |
|
|
|
### Out-of-Scope Use |
|
|
|
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> |
|
|
|
[More Information Needed] |
|
|
|
## Bias, Risks, and Limitations |
|
|
|
<!-- This section is meant to convey both technical and sociotechnical limitations. --> |
|
|
|
[More Information Needed] |
|
|
|
### Recommendations |
|
|
|
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> |
|
|
|
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. |
|
|
|
[More Information Needed] |
|
|
|
## Training Details |
|
|
|
### Training Data |
|
|
|
<!-- 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. --> |
|
|
|
[More Information Needed] |
|
|
|
### Training Procedure |
|
|
|
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. --> |
|
|
|
#### Preprocessing [optional] |
|
|
|
[More Information Needed] |
|
|
|
|
|
#### Training Hyperparameters |
|
|
|
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> |
|
|
|
#### Speeds, Sizes, Times [optional] |
|
|
|
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. --> |
|
|
|
[More Information Needed] |
|
|
|
## Evaluation |
|
|
|
<!-- This section describes the evaluation protocols and provides the results. --> |
|
|
|
### Testing Data, Factors & Metrics |
|
|
|
#### Testing Data |
|
|
|
<!-- This should link to a Dataset Card if possible. --> |
|
|
|
[More Information Needed] |
|
|
|
#### Factors |
|
|
|
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. --> |
|
|
|
[More Information Needed] |
|
|
|
#### Metrics |
|
|
|
<!-- These are the evaluation metrics being used, ideally with a description of why. --> |
|
|
|
[More Information Needed] |
|
|
|
### Results |
|
|
|
[More Information Needed] |
|
|
|
#### Summary |
|
|
|
|
|
|
|
## Model Examination [optional] |
|
|
|
<!-- Relevant interpretability work for the model goes here --> |
|
|
|
[More Information Needed] |
|
|
|
## Environmental Impact |
|
|
|
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> |
|
|
|
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). |
|
|
|
- **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] |
|
|
|
## Technical Specifications [optional] |
|
|
|
### Model Architecture and Objective |
|
|
|
[More Information Needed] |
|
|
|
### Compute Infrastructure |
|
|
|
[More Information Needed] |
|
|
|
#### Hardware |
|
|
|
[More Information Needed] |
|
|
|
#### Software |
|
|
|
[More Information Needed] |
|
|
|
## Citation [optional] |
|
|
|
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> |
|
|
|
**BibTeX:** |
|
|
|
[More Information Needed] |
|
|
|
**APA:** |
|
|
|
[More Information Needed] |
|
|
|
## Glossary [optional] |
|
|
|
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. --> |
|
|
|
[More Information Needed] |
|
|
|
## More Information [optional] |
|
|
|
[More Information Needed] |
|
|
|
## Model Card Authors [optional] |
|
|
|
[More Information Needed] |
|
|
|
## Model Card Contact |
|
|
|
[More Information Needed] |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.10.0 |
