Instructions to use Psychotherapy-LLM/PsyCoPref-Llama3-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Psychotherapy-LLM/PsyCoPref-Llama3-8B with Transformers:

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

pipe = pipeline("text-generation", model="Psychotherapy-LLM/PsyCoPref-Llama3-8B")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Psychotherapy-LLM/PsyCoPref-Llama3-8B")
model = AutoModelForCausalLM.from_pretrained("Psychotherapy-LLM/PsyCoPref-Llama3-8B")
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 Psychotherapy-LLM/PsyCoPref-Llama3-8B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Psychotherapy-LLM/PsyCoPref-Llama3-8B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Psychotherapy-LLM/PsyCoPref-Llama3-8B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Psychotherapy-LLM/PsyCoPref-Llama3-8B

SGLang

How to use Psychotherapy-LLM/PsyCoPref-Llama3-8B 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 "Psychotherapy-LLM/PsyCoPref-Llama3-8B" \
    --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": "Psychotherapy-LLM/PsyCoPref-Llama3-8B",
		"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 "Psychotherapy-LLM/PsyCoPref-Llama3-8B" \
        --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": "Psychotherapy-LLM/PsyCoPref-Llama3-8B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Psychotherapy-LLM/PsyCoPref-Llama3-8B with Docker Model Runner:
```
docker model run hf.co/Psychotherapy-LLM/PsyCoPref-Llama3-8B
```

Some bugs in weight.

by yixuantt - opened Mar 2, 2025

Discussion

yixuantt

Mar 2, 2025

Hi, when I load this model using the same method with llama-3.1 8B instruct. There is a bug:

Some weights of LlamaForCausalLM were not initialized from the model checkpoint at Psychotherapy-LLM/PsychoCounsel-Llama3-8B and are newly initialized: ['lm_head.weight']

The output is also not readable. For example:

Universities Blade Ont unnecessarilyيل consequently фарPopularPopular fluidしたら Angeurret.routesimaryнок.nasa(\"%splashdosDiesurret intoxicated jumlah\\Controllers tapiädchenолCONDS맥еляَم відбуваしたら_growthしたら_nom openingsolumn Oslo)./@Module Hague

billmianz

Psychotherapy with Large Language Models org Mar 2, 2025

Hi Yixuan,

Sorry for the mistake of uploading the model. I have fixed the model weights. Please try it again.

Best

yixuantt

Mar 2, 2025

Now it works fine. Thanks for the wonderful work!

yixuantt changed discussion status to closed Mar 2, 2025

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