Instructions to use EldritchLabs/Cthulhu-7B-v1.4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use EldritchLabs/Cthulhu-7B-v1.4 with Transformers:

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

pipe = pipeline("text-generation", model="EldritchLabs/Cthulhu-7B-v1.4")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("EldritchLabs/Cthulhu-7B-v1.4")
model = AutoModelForCausalLM.from_pretrained("EldritchLabs/Cthulhu-7B-v1.4")

Inference
Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use EldritchLabs/Cthulhu-7B-v1.4 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "EldritchLabs/Cthulhu-7B-v1.4"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "EldritchLabs/Cthulhu-7B-v1.4",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/EldritchLabs/Cthulhu-7B-v1.4

SGLang

How to use EldritchLabs/Cthulhu-7B-v1.4 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 "EldritchLabs/Cthulhu-7B-v1.4" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "EldritchLabs/Cthulhu-7B-v1.4",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

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 "EldritchLabs/Cthulhu-7B-v1.4" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "EldritchLabs/Cthulhu-7B-v1.4",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use EldritchLabs/Cthulhu-7B-v1.4 with Docker Model Runner:
```
docker model run hf.co/EldritchLabs/Cthulhu-7B-v1.4
```
Browse Quantizations to use this model in llama.cpp, Ollama, LM Studio, or any compatible app.

⚠️ Warning: This model can produce narratives and RP that contain violent and graphic erotic content. Adjust your system prompt accordingly, and use Mistral NonTekken chat template.

Cthulhu 7B v1.4

A fully uncensored finetune of Mistral 7B v0.1 trained on a small dataset of Cthulhu/Goetia lore. Cooked for 3 epochs using PMPF {'loss': 0.1916, 'grad_norm': 5.721400737762451, 'learning_rate': 3.803421678562213e-05, 'entropy': 0.44280096888542175, 'num_tokens': 51966.0, 'mean_token_accuracy': 0.942307710647583, 'epoch': 3.0}

Uses Mistral NonTekken chat template.

Model	Q0 Score	Quant	Q0G	Refusals
Cthulhu 7B v1.4	8501	Q6_K	Pass	0/100

Secret Sauce Settings (3060 ti)

MAX_SEQ_LENGTH = 768
LORA_R = 16
LORA_ALPHA = 32
NUM_EPOCHS = 3
LEARNING_RATE = 1e-4
optim="paged_adamw_8bit",
max_grad_norm=0.3,
warmup_ratio=0.03,
lr_scheduler_type="cosine",
lora_dropout=0.05,
target_modules=[
            "q_proj", "k_proj", "v_proj", "o_proj",
            "gate_proj", "up_proj", "down_proj",
# --- SAVE STRATEGY PATCH ---
        ### save_strategy="steps",        # Set to steps for large datasets
        ### save_steps=100,                # Save every 100 steps
        save_strategy="epoch",    # ### HOTSWAP: Uncomment for small datasets

Downloads last month: 4

Safetensors

Model size

7B params

Tensor type

BF16

Model tree for EldritchLabs/Cthulhu-7B-v1.4

Base model

mistralai/Mistral-7B-v0.1

Finetuned

(1032)

this model

Quantizations

3 models