Instructions to use Frankenstein-Labs/cortex.6.sol with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Frankenstein-Labs/cortex.6.sol with Transformers:

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

pipe = pipeline("text-generation", model="Frankenstein-Labs/cortex.6.sol")

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

tokenizer = AutoTokenizer.from_pretrained("Frankenstein-Labs/cortex.6.sol")
model = AutoModelForCausalLM.from_pretrained("Frankenstein-Labs/cortex.6.sol", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Frankenstein-Labs/cortex.6.sol with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Frankenstein-Labs/cortex.6.sol"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Frankenstein-Labs/cortex.6.sol",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Frankenstein-Labs/cortex.6.sol

SGLang

How to use Frankenstein-Labs/cortex.6.sol 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 "Frankenstein-Labs/cortex.6.sol" \
    --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": "Frankenstein-Labs/cortex.6.sol",
		"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 "Frankenstein-Labs/cortex.6.sol" \
        --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": "Frankenstein-Labs/cortex.6.sol",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use Frankenstein-Labs/cortex.6.sol with Docker Model Runner:
```
docker model run hf.co/Frankenstein-Labs/cortex.6.sol
```

cortex.6.sol / tests /test_identity.py

Frankenstein-Labs

feat: add founder behavioral charter

f019291 about 1 month ago

Raw History Blame Contribute Delete

1.07 kB

from cortex_ai.config import DEFAULT_SYSTEM_PROMPT
from cortex_ai.identity import CREATOR_AGE, CREATOR_NAME, IDENTITY_STATEMENT, identity_response, project_system_prompt


def test_creator_identity_contains_requested_attribution():
    assert CREATOR_NAME == "Abdoulaye Coumbassa"
    assert CREATOR_AGE == 16
    assert "Abdoulaye Coumbassa" in IDENTITY_STATEMENT
    assert "16 ans" in IDENTITY_STATEMENT
    assert "plus grand chef-d'œuvre" in IDENTITY_STATEMENT
    assert identity_response("fr") == IDENTITY_STATEMENT


def test_system_prompt_preserves_creator_attribution_boundary():
    prompt = project_system_prompt()
    assert "Abdoulaye Coumbassa" in prompt
    assert "modèle de base" in prompt
    assert "entraîné ou développé par Frankenstein-Labs" in prompt


def test_founder_charter_is_loaded_into_runtime_prompts():
    for prompt in (DEFAULT_SYSTEM_PROMPT, project_system_prompt()):
        assert "MISSION FONDAMENTALE" in prompt
        assert "HONNÊTETÉ ET INTÉGRITÉ" in prompt
        assert "CONFIDENTIALITÉ ET REFUS" in prompt

	from cortex_ai.config import DEFAULT_SYSTEM_PROMPT
	from cortex_ai.identity import CREATOR_AGE, CREATOR_NAME, IDENTITY_STATEMENT, identity_response, project_system_prompt


	def test_creator_identity_contains_requested_attribution():
	assert CREATOR_NAME == "Abdoulaye Coumbassa"
	assert CREATOR_AGE == 16
	assert "Abdoulaye Coumbassa" in IDENTITY_STATEMENT
	assert "16 ans" in IDENTITY_STATEMENT
	assert "plus grand chef-d'œuvre" in IDENTITY_STATEMENT
	assert identity_response("fr") == IDENTITY_STATEMENT


	def test_system_prompt_preserves_creator_attribution_boundary():
	prompt = project_system_prompt()
	assert "Abdoulaye Coumbassa" in prompt
	assert "modèle de base" in prompt
	assert "entraîné ou développé par Frankenstein-Labs" in prompt


	def test_founder_charter_is_loaded_into_runtime_prompts():
	for prompt in (DEFAULT_SYSTEM_PROMPT, project_system_prompt()):
	assert "MISSION FONDAMENTALE" in prompt
	assert "HONNÊTETÉ ET INTÉGRITÉ" in prompt
	assert "CONFIDENTIALITÉ ET REFUS" in prompt