Instructions to use Cas-Warehouse/Llama-3-Mopeyfied-Psychology-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Cas-Warehouse/Llama-3-Mopeyfied-Psychology-v2 with Transformers:

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

pipe = pipeline("text-generation", model="Cas-Warehouse/Llama-3-Mopeyfied-Psychology-v2")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Cas-Warehouse/Llama-3-Mopeyfied-Psychology-v2")
model = AutoModelForCausalLM.from_pretrained("Cas-Warehouse/Llama-3-Mopeyfied-Psychology-v2", 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]:]))

Inference
Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Cas-Warehouse/Llama-3-Mopeyfied-Psychology-v2 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Cas-Warehouse/Llama-3-Mopeyfied-Psychology-v2"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Cas-Warehouse/Llama-3-Mopeyfied-Psychology-v2",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Cas-Warehouse/Llama-3-Mopeyfied-Psychology-v2

SGLang

How to use Cas-Warehouse/Llama-3-Mopeyfied-Psychology-v2 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 "Cas-Warehouse/Llama-3-Mopeyfied-Psychology-v2" \
    --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": "Cas-Warehouse/Llama-3-Mopeyfied-Psychology-v2",
		"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 "Cas-Warehouse/Llama-3-Mopeyfied-Psychology-v2" \
        --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": "Cas-Warehouse/Llama-3-Mopeyfied-Psychology-v2",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Cas-Warehouse/Llama-3-Mopeyfied-Psychology-v2 with Docker Model Runner:
```
docker model run hf.co/Cas-Warehouse/Llama-3-Mopeyfied-Psychology-v2
```
Browse Quantizations to use this model in llama.cpp, Ollama, LM Studio, or any compatible app.

Psyche-3

Psyche-3 is a merge of the following models using LazyMergekit:

🧩 Configuration

slices:
- sources:
  - model: TheSkullery/llama-3-cat-8b-instruct-v1
    layer_range: [0, 32]
  - model: victunes/TherapyLlama-8B-v1
    layer_range: [0, 32]
    parameters:
      density: 0.55
      weight: 0.35
  - model: herisan/llama-3-8b_mental_health_counseling_conversations
    layer_range: [0, 32]
    parameters:
      density: 0.55
      weight: 0.35
merge_method: ties
base_model: TheSkullery/llama-3-cat-8b-instruct-v1
parameters:
  int8_mask: true
dtype: bfloat16
---
models:
  - model: Casual-Autopsy/Psyche-1+Falah/lora_model_mental_health_llama3
  - model: Casual-Autopsy/Psyche-1+Abdo36/MentalLORALLAMA3
  - model: Casual-Autopsy/Psyche-1+zementalist/llama-3-8B-chat-psychotherapist
  - model: Casual-Autopsy/Psyche-1+PrahmodhRaj/Llama-3_Psychiatrist_Chat
merge_method: model_stock
base_model: Casual-Autopsy/Psyche-1
dtype: bfloat16
---
models:
  - model: Casual-Autopsy/Psyche-2
  - model: Cas-Warehouse/Llama-3-MopeyMule-Blackroot-8B
    parameters:
      weight: 0.25
  - model: Cas-Warehouse/Llama-3-SOVL-MopeyMule-8B
    parameters:
      weight: 0.15
merge_method: task_arithmetic
base_model: Casual-Autopsy/Psyche-2
dtype: bfloat16