Instructions to use LeroyDyer/_Starfleet_II_ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use LeroyDyer/_Starfleet_II_ with Transformers:

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

pipe = pipeline("text-generation", model="LeroyDyer/_Starfleet_II_")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("LeroyDyer/_Starfleet_II_")
model = AutoModelForCausalLM.from_pretrained("LeroyDyer/_Starfleet_II_")
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]:]))

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use LeroyDyer/_Starfleet_II_ with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/LeroyDyer/_Starfleet_II_

SGLang

How to use LeroyDyer/_Starfleet_II_ 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 "LeroyDyer/_Starfleet_II_" \
    --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": "LeroyDyer/_Starfleet_II_",
		"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 "LeroyDyer/_Starfleet_II_" \
        --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": "LeroyDyer/_Starfleet_II_",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Unsloth Studio new

How to use LeroyDyer/_Starfleet_II_ with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for LeroyDyer/_Starfleet_II_ to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for LeroyDyer/_Starfleet_II_ to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for LeroyDyer/_Starfleet_II_ to start chatting

Load model with FastModel

pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
    model_name="LeroyDyer/_Starfleet_II_",
    max_seq_length=2048,
)

Docker Model Runner
How to use LeroyDyer/_Starfleet_II_ with Docker Model Runner:
```
docker model run hf.co/LeroyDyer/_Starfleet_II_
```
Browse Quantizations to use this model in llama.cpp, Ollama, LM Studio, or any compatible app.

A NEW MODEL !

Here we are begining to focus on chracter ! : so the model may refuse to perform being not in a good mood ! not because its blocked ! so if your polite then it may respond better and if your angery it may resond angry ?

i have not created a Evil thoughts model in which teh model will use angry reasoning for its motivation YET ! or A good thoughts reasoner , in which its reasoning i geared to being GOOD ! ( maybe some refusals to perform illicit acts ) as its in GOOD MODE !

so we wil mix these trainings so we do not create unbalenced models :

i think this themed responses and theme thoughts are a way to allow the model to devlop some emotional responses , so we weave them into TASKS , as well as in code generation we would like a model to assume its role with a pesonality !

so we humaize these models with more chat based colaberatie tasks, instead of fully completing a task ! the aim of task performance her is not the motive , as we already know we can fore models to perfrom tasks with prompts : These are not prompt based responses any more !

these are reasoning based responses :

we also use reasoning and imeadiate responses in our datasts so the model has a selection of responses types inside and not forced to produce reasoning , with a swtich !! the aim again is to allow the model to choose the tasks which need reasoning and tasks which do not !

but in truth we can always train evil thoughts or romantic thoughts so every response has romantic motivations , and then cover this with a prompt response for "you are a helpful AI " as well as merge the model to conceal these repsosnes and they will popup out the blue !

so this model has also had some outputs tylored to display as Starfleet computer : as it is a themed model : we will be retraining these series to act more like the base computer on a ship ! so responses and content will be displyaed and framed appropirately !

we have laid the groundwork from the begining for these methodologie if you have been following along !

Downloads last month: 5

Safetensors

Model size

7B params

Tensor type

F16

Model tree for LeroyDyer/_Starfleet_II_

Base model

LeroyDyer/_Spydaz_Web_AGI_DeepThinker_LCARS_

Finetuned

LeroyDyer/LCARS_STARFLEET

Finetuned

LeroyDyer/_Spydaz_Web_LCARS_TEST

Finetuned

(2)

this model

Quantizations

2 models