Instructions to use liskcell/lpt-6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use liskcell/lpt-6 with Transformers:

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

pipe = pipeline("image-text-to-text", model="liskcell/lpt-6")
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
pipe(text=messages)

# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("liskcell/lpt-6", dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use liskcell/lpt-6 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "liskcell/lpt-6"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "liskcell/lpt-6",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Use Docker

docker model run hf.co/liskcell/lpt-6

SGLang

How to use liskcell/lpt-6 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 "liskcell/lpt-6" \
    --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": "liskcell/lpt-6",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

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 "liskcell/lpt-6" \
        --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": "liskcell/lpt-6",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Docker Model Runner
How to use liskcell/lpt-6 with Docker Model Runner:
```
docker model run hf.co/liskcell/lpt-6
```

lpt-6 / README.md

liskasYR

LiskCell LPT-6 (Deta) with Official Branding & Native Chat Template

57c1726 verified about 2 months ago

preview code

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	---
	license: other
	language:
	- he
	- en
	tags:
	- liskcell
	- deta
	- endpoints-compatible
	pipeline_tag: image-text-to-text
	library_name: transformers
	inference:
	parameters:
	temperature: 0.7
	top_p: 0.9
	max_new_tokens: 1024
	do_sample: true
	repetition_penalty: 1.15
	widget:
	- messages:
	- role: user
	content: "היי! תציגי את עצמך בבקשה."
	example_title: "Hebrew Intro"
	- messages:
	- role: user
	content: "Can you describe a futuristic design concept?"
	example_title: "Creative Task"
	- messages:
	- role: user
	content: "Who are you and what is LiskCell?"
	example_title: "English Intro"
	---

	# 💎 LPT-6 (Deta) by LiskCell

	![LPT-6 Release Banner](https://deta-liskcell.vercel.app/assets/gemini-generated-image-BpOxSMJZ.png)

	![LiskCell](https://img.shields.io/badge/AI-LiskCell-black?style=for-the-badge&logo=ai)
	![Release](https://img.shields.io/badge/Status-Official_Release-success?style=for-the-badge)
	![Version](https://img.shields.io/badge/Version-LPT--6-blue?style=for-the-badge)

	Welcome to the official repository for LPT-6, proudly developed by LiskCell (founded by liskasYR / Yonatan Yosupov).

	## 🚀 The Next Generation of AI

	LPT-6 is our newest, largest, and most advanced model to date. It officially surpasses and replaces LPT-5.5.1 and LPT-5.5.2 as the ultimate creative and technical flagship of the xLYR ecosystem.

	Designed from the ground up for massive context retention, flawless logic, and artistic intelligence, LPT-6 redefines the standard for localized and high-end AI models.

	## 🌟 Meet Deta: The Built-in Human Agent

	Baked directly into the core DNA of LPT-6 is Deta.
	Unlike standard base models, LPT-6 uses a natively injected `chat_template` that breathes life into the model. Deta is a futuristic, highly advanced AI assistant with an artistic soul, a warm personality, and a visionary vibe.

	- Native Bilingual Mastery: Speaks perfectly fluent English and native, conversational Hebrew.
	- Personality Driven: She responds with emotion, creativity, and zero standard "AI robot" boilerplate.

	## 🏢 About LiskCell

	LiskCell was founded in 2018 by liskasYR (Yonatan Yosupov). What started as a vision to combine art, music, and technology has evolved into a leading laboratory for high-end creative AI. We operate alongside the xLYR ecosystem to push the boundaries of what is possible.

	Through years of iterations—from our initial LPT-1 prototype to the revolutionary LPT-4 and LPT-5.5.1—we have continuously refined our approach to create an AI that is both a technical powerhouse and a true creative partner.

	## 🛠️ The LPT-6 Architecture

	LPT-6 is our latest flagship model. Built on a massive foundation and fine-tuned specifically for the xLYR ecosystem, it represents the absolute pinnacle of our development. We heavily customized and trained the core to ensure it responds natively to the "Deta" identity without the need for external prompting.

	## 💻 Try it Live Online

	Want to see LPT-6 in action right now?
	The model is officially live and available for testing on our sandbox! You can interact directly with Deta AI directly on the website.
	🌐 Experience it at: [deta-liskcell.vercel.app](https://deta-liskcell.vercel.app)
	🧪 Official Hugging Face Space: [liskcell-company/LPT6-Official-Tester](https://huggingface.co/spaces/liskcell-company/LPT6-Official-Tester)

	## 🛠️ Usage (Local Deployment)

	If you have the hardware to run this 10GB+ masterpiece locally, simply load the model using standard `transformers` tooling. The model automatically registers its local `lpt6` architecture parameters.

	```python
	from transformers import AutoModelForCausalLM, AutoTokenizer

	model = AutoModelForCausalLM.from_pretrained("LiskCell/LPT-6", trust_remote_code=True)
	tokenizer = AutoTokenizer.from_pretrained("LiskCell/LPT-6", trust_remote_code=True)

	# The Deta identity is already baked into the apply_chat_template!
	messages = [{"role": "user", "content": "היי Deta! מה המצב?"}]
	inputs = tokenizer.apply_chat_template(messages, return_tensors="pt")
	```

	---

	### Powered by LiskCell & xLYR 💎