Instructions to use PocketDoc/Dans-PersonalityEngine-V1.2.0-24b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use PocketDoc/Dans-PersonalityEngine-V1.2.0-24b with Transformers:

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

pipe = pipeline("text-generation", model="PocketDoc/Dans-PersonalityEngine-V1.2.0-24b")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("PocketDoc/Dans-PersonalityEngine-V1.2.0-24b")
model = AutoModelForCausalLM.from_pretrained("PocketDoc/Dans-PersonalityEngine-V1.2.0-24b")
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]:]))

Inference
Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use PocketDoc/Dans-PersonalityEngine-V1.2.0-24b with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "PocketDoc/Dans-PersonalityEngine-V1.2.0-24b"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "PocketDoc/Dans-PersonalityEngine-V1.2.0-24b",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/PocketDoc/Dans-PersonalityEngine-V1.2.0-24b

SGLang

How to use PocketDoc/Dans-PersonalityEngine-V1.2.0-24b 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 "PocketDoc/Dans-PersonalityEngine-V1.2.0-24b" \
    --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": "PocketDoc/Dans-PersonalityEngine-V1.2.0-24b",
		"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 "PocketDoc/Dans-PersonalityEngine-V1.2.0-24b" \
        --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": "PocketDoc/Dans-PersonalityEngine-V1.2.0-24b",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use PocketDoc/Dans-PersonalityEngine-V1.2.0-24b with Docker Model Runner:
```
docker model run hf.co/PocketDoc/Dans-PersonalityEngine-V1.2.0-24b
```

Chub AI Funding

by qingy2024 - opened Mar 2, 2025

Discussion

qingy2024

Mar 2, 2025

Hey, big fan of the Personality Engine models!

I saw on the model card that you received a GPU grant from Chub.ai, so I filled out the Google form, but I haven't heard anything back yet. Do you happen to know how long it usually takes to get your project reviewed?

PocketDoc

Owner Mar 3, 2025

I'm not sure, they're working on the process and I'm not exactly sure what you can expect in terms of a response timeline. If I find out more information I will let you know.

PocketDoc changed discussion status to closed Mar 3, 2025

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