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