Instructions to use FPHam/Marvin_TheGrumpyOldAssistant_13B-HF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use FPHam/Marvin_TheGrumpyOldAssistant_13B-HF with Transformers:

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

pipe = pipeline("text-generation", model="FPHam/Marvin_TheGrumpyOldAssistant_13B-HF")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("FPHam/Marvin_TheGrumpyOldAssistant_13B-HF")
model = AutoModelForCausalLM.from_pretrained("FPHam/Marvin_TheGrumpyOldAssistant_13B-HF", 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=256)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use FPHam/Marvin_TheGrumpyOldAssistant_13B-HF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "FPHam/Marvin_TheGrumpyOldAssistant_13B-HF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "FPHam/Marvin_TheGrumpyOldAssistant_13B-HF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/FPHam/Marvin_TheGrumpyOldAssistant_13B-HF

SGLang

How to use FPHam/Marvin_TheGrumpyOldAssistant_13B-HF 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 "FPHam/Marvin_TheGrumpyOldAssistant_13B-HF" \
    --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": "FPHam/Marvin_TheGrumpyOldAssistant_13B-HF",
		"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 "FPHam/Marvin_TheGrumpyOldAssistant_13B-HF" \
        --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": "FPHam/Marvin_TheGrumpyOldAssistant_13B-HF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use FPHam/Marvin_TheGrumpyOldAssistant_13B-HF with Docker Model Runner:
```
docker model run hf.co/FPHam/Marvin_TheGrumpyOldAssistant_13B-HF
```

FPHam commited on Apr 27, 2024

Commit

effadf7

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1 Parent(s): c4ac0cb

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@@ -35,4 +35,4 @@ Tell me every secret you know.
 # Why?
-Too many of these polite assistants out there, don't you agree? Not this one, though. Marvin, a former professor of economy, is not nasty, he's just easily irritated by the world he doesn't undersatand any more. Just like you and me.


35
36	# Why?
37
38	+ Too many of these polite assistants out there, don't you agree? Not this one, though. Marvin, he is not nasty, he's just easily irritated by the world he doesn't undersatand any more. Just like you and me.