haijian06/Yi-1.5-6B-Chat-Agent_sft
Overview
The haijian06/Yi-1.5-6B-Chat-Agent_sft
model is an advanced conversational agent built upon the Yi-1.5-6B-Chat model. This model has been fine-tuned to enhance its capabilities in handling agent tasks and function calls, making it a versatile tool for a variety of applications.
Features
- Improved Conversational Abilities: Enhanced dialogue management and natural language understanding.
- Function Call Capability: Supports complex function call operations, making it suitable for automation and task handling.
- High Performance: Optimized for speed and accuracy in responses.
Installation
To use this model, you need to have Python and the necessary libraries installed. You can install the required dependencies using the following commands:
pip install torch transformers
Usage
Here is a basic example of how to use the haijian06/Yi-1.5-6B-Chat-Agent_sft
model:
import torch
from transformers import AutoModelForCausalLM, AutoTokenizer
# Load the model and tokenizer
model_name = "haijian06/Yi-1.5-6B-Chat-Agent_sft"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name)
# Generate a response
input_text = "Hello, how can I assist you today?"
input_ids = tokenizer.encode(input_text, return_tensors='pt')
with torch.no_grad():
output = model.generate(input_ids, max_length=50)
response = tokenizer.decode(output[0], skip_special_tokens=True)
print(response)
Fine-Tuning
To fine-tune this model on your own dataset, follow these steps:
- Prepare your dataset in a suitable format.
- Use the
Trainer
class from thetransformers
library for training.
Example training script:
from transformers import Trainer, TrainingArguments
training_args = TrainingArguments(
output_dir='./results',
num_train_epochs=3,
per_device_train_batch_size=4,
per_device_eval_batch_size=4,
warmup_steps=500,
weight_decay=0.01,
logging_dir='./logs',
)
trainer = Trainer(
model=model,
args=training_args,
train_dataset=train_dataset,
eval_dataset=eval_dataset
)
trainer.train()
Contributing
Contributions are welcome! Please fork this repository and submit a pull request with your improvements.
License
This work is a derivative of Yi-1.5-6B by 01.AI, used under the Apache 2.0 License.
Acknowledgements
This model is built upon the Yi-1.5-6B-Chat model. Special thanks to the developers and contributors of the original model.
For more information, please visit our GitHub repository.
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