Instructions to use darkc0de/XORTRON.CriminalComputing.Config.LARGE.XPRT2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use darkc0de/XORTRON.CriminalComputing.Config.LARGE.XPRT2 with Transformers:

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

pipe = pipeline("text-generation", model="darkc0de/XORTRON.CriminalComputing.Config.LARGE.XPRT2")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("darkc0de/XORTRON.CriminalComputing.Config.LARGE.XPRT2")
model = AutoModelForCausalLM.from_pretrained("darkc0de/XORTRON.CriminalComputing.Config.LARGE.XPRT2")
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 darkc0de/XORTRON.CriminalComputing.Config.LARGE.XPRT2 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "darkc0de/XORTRON.CriminalComputing.Config.LARGE.XPRT2"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "darkc0de/XORTRON.CriminalComputing.Config.LARGE.XPRT2",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/darkc0de/XORTRON.CriminalComputing.Config.LARGE.XPRT2

SGLang

How to use darkc0de/XORTRON.CriminalComputing.Config.LARGE.XPRT2 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 "darkc0de/XORTRON.CriminalComputing.Config.LARGE.XPRT2" \
    --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": "darkc0de/XORTRON.CriminalComputing.Config.LARGE.XPRT2",
		"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 "darkc0de/XORTRON.CriminalComputing.Config.LARGE.XPRT2" \
        --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": "darkc0de/XORTRON.CriminalComputing.Config.LARGE.XPRT2",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use darkc0de/XORTRON.CriminalComputing.Config.LARGE.XPRT2 with Docker Model Runner:
```
docker model run hf.co/darkc0de/XORTRON.CriminalComputing.Config.LARGE.XPRT2
```

gguf please?

by lazywoof - opened 6 days ago

Discussion

lazywoof

6 days ago

•

edited 6 days ago

Refreshed this page for 3 days now, wondering if get a gguf at Q4? I'm eager to try this.

lazywoof changed discussion status to closed 6 days ago

lazywoof changed discussion status to open 6 days ago

kapha

6 days ago

Refreshed this page for 3 days now, wondering if get a gguf at Q4? I'm eager to try this.

Honest question, why dont you do it?
If you can't I'm willing to quantize it for you.
Or just wait until Darkc0de does it.
Cheers!

lazywoof

6 days ago

I've tried using the huggingface online spaces thing but it didnt work, I'm guessing the model is too big. I have no clue how to do it on my own pc. Gemini said i wouldnt have the ram to do it either.

Andyx1976

5 days ago

it's coming.
https://huggingface.co/mradermacher/model_requests/discussions/2328

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