Instructions to use darthcrawl/artifex-rp-orpheus-llama-3.1-8b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use darthcrawl/artifex-rp-orpheus-llama-3.1-8b with Transformers:

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

pipe = pipeline("text-generation", model="darthcrawl/artifex-rp-orpheus-llama-3.1-8b")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("darthcrawl/artifex-rp-orpheus-llama-3.1-8b")
model = AutoModelForCausalLM.from_pretrained("darthcrawl/artifex-rp-orpheus-llama-3.1-8b", device_map="auto")
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 darthcrawl/artifex-rp-orpheus-llama-3.1-8b with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "darthcrawl/artifex-rp-orpheus-llama-3.1-8b"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "darthcrawl/artifex-rp-orpheus-llama-3.1-8b",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/darthcrawl/artifex-rp-orpheus-llama-3.1-8b

SGLang

How to use darthcrawl/artifex-rp-orpheus-llama-3.1-8b 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 "darthcrawl/artifex-rp-orpheus-llama-3.1-8b" \
    --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": "darthcrawl/artifex-rp-orpheus-llama-3.1-8b",
		"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 "darthcrawl/artifex-rp-orpheus-llama-3.1-8b" \
        --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": "darthcrawl/artifex-rp-orpheus-llama-3.1-8b",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use darthcrawl/artifex-rp-orpheus-llama-3.1-8b with Docker Model Runner:
```
docker model run hf.co/darthcrawl/artifex-rp-orpheus-llama-3.1-8b
```

darthcrawl commited on Jun 2

Commit

03ed3cb

verified ·

1 Parent(s): cebcc43

Add Artifex tagline + register:restrained-lyrical tag

Browse files

Files changed (1) hide show

README.md +6 -1

README.md CHANGED Viewed

@@ -11,12 +11,17 @@ tags:
   - prose-style
   - roleplay
   - artifex
 pipeline_tag: text-generation
 ---
 # artifex-rp-orpheus-llama-3.1-8b
-**Part of the [Artifex RP](https://huggingface.co/collections/darthcrawl) series.**
 ![Orpheus leading Eurydice from the underworld](orpheus_banner.jpg)

   - prose-style
   - roleplay
   - artifex
+  - register:restrained-lyrical
 pipeline_tag: text-generation
 ---
 # artifex-rp-orpheus-llama-3.1-8b
+> *Forging voices for the machines people actually own.*
+**Part of the [Artifex RP](https://huggingface.co/collections/darthcrawl) series** — register-craft models tiered to common hardware. Each forges a specific voice (restrained-lyrical, character-explicit, narrator-disciplined) sized for a specific tier (8GB CPU, 8GB GPU, 16GB+/Mac). Curated small data, not scraped giant data. Anti-corporate-assistant by design.
+**Register:** `restrained-lyrical` — vivid, intelligent prose; tension carries more weight than description.
 ![Orpheus leading Eurydice from the underworld](orpheus_banner.jpg)