Instructions to use nayohan/corningQA-llama2-13b-chat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use nayohan/corningQA-llama2-13b-chat with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="nayohan/corningQA-llama2-13b-chat")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nayohan/corningQA-llama2-13b-chat")
model = AutoModelForCausalLM.from_pretrained("nayohan/corningQA-llama2-13b-chat")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use nayohan/corningQA-llama2-13b-chat with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "nayohan/corningQA-llama2-13b-chat"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "nayohan/corningQA-llama2-13b-chat",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/nayohan/corningQA-llama2-13b-chat

SGLang

How to use nayohan/corningQA-llama2-13b-chat with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "nayohan/corningQA-llama2-13b-chat" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "nayohan/corningQA-llama2-13b-chat",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "nayohan/corningQA-llama2-13b-chat" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "nayohan/corningQA-llama2-13b-chat",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use nayohan/corningQA-llama2-13b-chat with Docker Model Runner:
```
docker model run hf.co/nayohan/corningQA-llama2-13b-chat
```
Browse Quantizations to use this model in llama.cpp, Ollama, LM Studio, or any compatible app.

Introduction

This is a corning domain-specific model that has been trained to support multi-turn conversations in chemistry-related domains.

Loading the Model

Use the following Python code to load the model:

import torch
from transformers import AutoModelForCausalLM, AutoTokenizer

tokenizer = AutoTokenizer.from_pretrained("nayohan/corningQA-llama2-13b-chat")
model = AutoModelForCausalLM.from_pretrained(
    "nayohan/corningQA-llama2-13b-chat",
    device_map="auto",
    torch_dtype=torch.float16,
)

Generating Text

To generate text, use the following Python code:

# SYSTEM PROMPT
context="A New CCn Inverter Circuit For AMLCD Panels Results In Significantly Higher Efficiency And Brightness Mehmet K. Nalbant Linfinity Microelectronics 11861 Western Ave., Garden Grove, CA 92641 Tel: (714) 898-8121 Fax: (714) 893-2570 Abstract - The paper will discuss a new CCFL inverter that is based on a new control technique named the Current Synchronous Zero Voltage Switching (CS-ZVS) topology. This topology enables the design of very eficient dimmable CCFL inverter"
diaogues= "Speaker 1: What is the name of the new control technique used in the CCFL inverter?\nSpeaker 2: The new control technique is called Current Synchronous Zero Voltage Switching (CS-ZVS) topology.\nSpeaker 1: Can you tell me more about the CS-ZVS topology?\nSpeaker 2: Sure! The CS-ZVS topology is a new control technique that allows for the design of highly efficient and dimmable CCFL inverters.\nSpeaker 1: That sounds impressive. How does it achieve higher efficiency and brightness?\nSpeaker 2: Well, the CS-ZVS topology synchronizes the switching of the inverter with the current flow, resulting in lower losses and improved performance.\nSpeaker 1: I see. So, is this new CCFL inverter already available in the market?\nSpeaker 2: Yes, it is. It was developed by Linfinity Microelectronics and is currently being used in AMLCD panels to improve their efficiency and brightness.\nSpeaker 1: That's amazing. I'm sure this new inverter will be very popular in the market.\nSpeaker 2: ###"

text = f"""
You will be shown dialogues between Speaker 1 and Speaker 2. Please read and understand given Dialogue Session,
then complete the task under the guidance of Task Introduction.\n
Context: {context}
Dialogue Session: {diaogues}
Task Introduction: After reading the Dialogue Session, please create an appropriate response in the parts marked ###.
Task Result:
"""
inputs = tokenizer(text, return_tensors="pt").to('cuda')

outputs = model.generate(**inputs, max_new_tokens=64)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))

# USER INPUT:
{context}: A New CCn Inverter Circuit For AMLCD Panels Results In Significantly Higher Efficiency And Brightness Mehmet K. Nalbant Linfinity Microelectronics 11861 Western Ave., Garden Grove, CA 92641 Tel: (714) 898-8121 Fax: (714) 893-2570 Abstract - The paper will discuss a new CCFL inverter that is based on a new control technique named the Current Synchronous Zero Voltage Switching (CS-ZVS) topology. This topology enables the design of very eficient dimmable CCFL inverter
{diaogues}: Speaker 1: What is the name of the new control technique used in the CCFL inverter?\nSpeaker 2: The new control technique is called Current Synchronous Zero Voltage Switching (CS-ZVS) topology.\nSpeaker 1: Can you tell me more about the CS-ZVS topology?\nSpeaker 2: Sure! The CS-ZVS topology is a new control technique that allows for the design of highly efficient and dimmable CCFL inverters.\nSpeaker 1: That sounds impressive. How does it achieve higher efficiency and brightness?\nSpeaker 2: Well, the CS-ZVS topology synchronizes the switching of the inverter with the current flow, resulting in lower losses and improved performance.\nSpeaker 1: I see. So, is this new CCFL inverter already available in the market?\nSpeaker 2: Yes, it is. It was developed by Linfinity Microelectronics and is currently being used in AMLCD panels to improve their efficiency and brightness.\nSpeaker 1: That's amazing. I'm sure this new inverter will be very popular in the market.\nSpeaker 2: ###

# OUTPUT:
nayohan/corningQA-llama2-13b-chat: Thank you, we believe so too. The CS-ZVS topology has the potential to revolutionize the CCFL inverter market.

Full example

Context: A New CCn Inverter Circuit For AMLCD Panels Results In Significantly Higher Efficiency And Brightness Mehmet K. Nalbant Linfinity Microelectronics 11861 Western Ave., Garden Grove, CA 92641 Tel: (714) 898-8121 Fax: (714) 893-2570 Abstract - The paper will discuss a new CCFL inverter that is based on a new control technique named the Current Synchronous Zero Voltage Switching (CS-ZVS) topology. This topology enables the design of very eficient dimmable CCFL inverter
Dialogue Session: Speaker 1: What is the name of the new control technique used in the CCFL inverter?
Speaker 2: The new control technique is called Current Synchronous Zero Voltage Switching (CS-ZVS) topology.
Speaker 1: Can you tell me more about the CS-ZVS topology?
Speaker 2: Sure! The CS-ZVS topology is a new control technique that allows for the design of highly efficient and dimmable CCFL inverters.
Speaker 1: That sounds impressive. How does it achieve higher efficiency and brightness?
Speaker 2: Well, the CS-ZVS topology synchronizes the switching of the inverter with the current flow, resulting in lower losses and improved performance.
Speaker 1: I see. So, is this new CCFL inverter already available in the market?
Speaker 2: Yes, it is. It was developed by Linfinity Microelectronics and is currently being used in AMLCD panels to improve their efficiency and brightness.
Speaker 1: That's amazing. I'm sure this new inverter will be very popular in the market.
Speaker 2: ###
Task Introduction: After reading the Dialogue Session, please create an appropriate response in the parts marked ###.
Task Result:
Thank you, we believe so too. The CS-ZVS topology has the potential to revolutionize the CCFL inverter market.

License

meta-llama/Llama-2-13b-chat-hf: Meta license

@article{touvron2023llama,
  title={Llama 2: Open foundation and fine-tuned chat models},
  author={Touvron, Hugo and Martin, Louis and Stone, Kevin and Albert, Peter and Almahairi, Amjad and Babaei, Yasmine and Bashlykov, Nikolay and Batra, Soumya and Bhargava, Prajjwal and Bhosale, Shruti and others},
  journal={arXiv preprint arXiv:2307.09288},
  year={2023}
}

Our trainig code can be found here: Github: https://github.com/nayohan/2023-Corning-AI-Challenge

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Model tree for nayohan/corningQA-llama2-13b-chat

Base model

meta-llama/Llama-2-13b-chat-hf

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Quantizations

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Dataset used to train nayohan/corningQA-llama2-13b-chat

Paper for nayohan/corningQA-llama2-13b-chat

Llama 2: Open Foundation and Fine-Tuned Chat Models

Paper • 2307.09288 • Published Jul 18, 2023 • 252