Instructions to use DarkArtsForge/Protocol-Phantom-12B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use DarkArtsForge/Protocol-Phantom-12B with Transformers:

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

pipe = pipeline("text-generation", model="DarkArtsForge/Protocol-Phantom-12B")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("DarkArtsForge/Protocol-Phantom-12B")
model = AutoModelForCausalLM.from_pretrained("DarkArtsForge/Protocol-Phantom-12B")
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]:]))

NeMo
How to use DarkArtsForge/Protocol-Phantom-12B with NeMo:
```
# tag did not correspond to a valid NeMo domain.
```
Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use DarkArtsForge/Protocol-Phantom-12B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "DarkArtsForge/Protocol-Phantom-12B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "DarkArtsForge/Protocol-Phantom-12B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/DarkArtsForge/Protocol-Phantom-12B

SGLang

How to use DarkArtsForge/Protocol-Phantom-12B 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 "DarkArtsForge/Protocol-Phantom-12B" \
    --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": "DarkArtsForge/Protocol-Phantom-12B",
		"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 "DarkArtsForge/Protocol-Phantom-12B" \
        --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": "DarkArtsForge/Protocol-Phantom-12B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use DarkArtsForge/Protocol-Phantom-12B with Docker Model Runner:
```
docker model run hf.co/DarkArtsForge/Protocol-Phantom-12B
```

Naphula commited on 16 days ago

Commit

bc3b059

verified ·

1 Parent(s): 6d16874

Upload mergekit_config.yml with huggingface_hub

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mergekit_config.yml +17 -0

mergekit_config.yml ADDED Viewed

	@@ -0,0 +1,17 @@

+architecture: MistralForCausalLM
+base_model: B:/12B/mistralai--Mistral-Nemo-Instruct-2407
+models:
+  - model: B:/12B/LatitudeGames--Wayfarer-2-12B
+    parameters:
+      weight: 0.5
+  - model: B:/12B/WokeAI--Tankie-DPE-12b-SFT-v2
+    parameters:
+      weight: 0.5
+merge_method: nuslerp
+parameters:
+  nuslerp_flatten: false     # Flattens tensors to treat them as high-dimensional vectors
+  nuslerp_row_wise: true   # Set to true if you want to interpolate per-row instead of per-tensor
+dtype: float32
+out_dtype: bfloat16
+tokenizer:
+  source: union