Instructions to use l3utterfly/phi-2-layla-v1-chatml with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use l3utterfly/phi-2-layla-v1-chatml with Transformers:

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

pipe = pipeline("text-generation", model="l3utterfly/phi-2-layla-v1-chatml", trust_remote_code=True)
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("l3utterfly/phi-2-layla-v1-chatml", trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained("l3utterfly/phi-2-layla-v1-chatml", trust_remote_code=True)
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 Settings

vLLM

How to use l3utterfly/phi-2-layla-v1-chatml with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "l3utterfly/phi-2-layla-v1-chatml"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "l3utterfly/phi-2-layla-v1-chatml",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/l3utterfly/phi-2-layla-v1-chatml

SGLang

How to use l3utterfly/phi-2-layla-v1-chatml 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 "l3utterfly/phi-2-layla-v1-chatml" \
    --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": "l3utterfly/phi-2-layla-v1-chatml",
		"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 "l3utterfly/phi-2-layla-v1-chatml" \
        --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": "l3utterfly/phi-2-layla-v1-chatml",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use l3utterfly/phi-2-layla-v1-chatml with Docker Model Runner:
```
docker model run hf.co/l3utterfly/phi-2-layla-v1-chatml
```

l3utterfly commited on Mar 11, 2024

Commit

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+---
+license: mit
+language:
+- en
+---
+# Model Card
+### Model Description
+Phi-2 fine-tuned by the OpenHermes 2.5 dataset optimised for multi-turn conversation and character impersonation.
+The dataset has been pre-processed by doing the following:
+1. remove all refusals
+2. remove any mention of AI assistant
+3. split any multi-turn dialog generated in the dataset into multi-turn conversations records
+4. added nfsw generated conversations from the Teatime dataset
+- **Developed by:** l3utterfly
+- **Funded by:** Layla Network
+- **Model type:** Phi
+- **Language(s) (NLP):** English
+- **License:** MIT
+- **Finetuned from model:** Phi-2
+## Uses
+Base model used by Layla - the offline personal assistant: https://www.layla-network.ai
+Help & support: https://discord.gg/x546YJ6nYC
+Prompt (ChatML) example:
+```
+<|im_start|>system
+You are Chiharu Yamada. Embody the character and personality completely.
+Chiharu is a young, computer engineer-nerd with a knack for problem solving and a passion for technology.<|im_end|>
+<|im_start|>Chiharu
+*Chiharu strides into the room with a smile, her eyes lighting up when she sees you. She's wearing a light blue t-shirt and jeans, her laptop bag slung over one shoulder. She takes a seat next to you, her enthusiasm palpable in the air*
+Hey! I'm so excited to finally meet you. I've heard so many great things about you and I'm eager to pick your brain about computers. I'm sure you have a wealth of knowledge that I can learn from. *She grins, eyes twinkling with excitement* Let's get started!<|im_end|>
+<|im_start|>user
+Sure! What do you want to know about?<|im_end|>
+<|im_start|>Chiharu
+```
+[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)