Instructions to use saishshinde15/Clyrai_Lucius-1.3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use saishshinde15/Clyrai_Lucius-1.3B with Transformers:

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

pipe = pipeline("text-generation", model="saishshinde15/Clyrai_Lucius-1.3B")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("saishshinde15/Clyrai_Lucius-1.3B")
model = AutoModelForCausalLM.from_pretrained("saishshinde15/Clyrai_Lucius-1.3B", 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]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use saishshinde15/Clyrai_Lucius-1.3B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "saishshinde15/Clyrai_Lucius-1.3B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "saishshinde15/Clyrai_Lucius-1.3B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/saishshinde15/Clyrai_Lucius-1.3B

SGLang

How to use saishshinde15/Clyrai_Lucius-1.3B 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 "saishshinde15/Clyrai_Lucius-1.3B" \
    --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": "saishshinde15/Clyrai_Lucius-1.3B",
		"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 "saishshinde15/Clyrai_Lucius-1.3B" \
        --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": "saishshinde15/Clyrai_Lucius-1.3B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use saishshinde15/Clyrai_Lucius-1.3B with Docker Model Runner:
```
docker model run hf.co/saishshinde15/Clyrai_Lucius-1.3B
```
Browse Quantizations to use this model in llama.cpp, Ollama, LM Studio, or any compatible app.

Do not use this.

This is a failed post-training experiment on Clyrai_Lucius-1.3B-Base.

It did not work. Format without knowledge is theatre. The model is not a product, not an assistant, not a reasoning system, and not something to ship.

The model Clyrai stands behind for this line is the base:
https://huggingface.co/saishshinde15/Clyrai_Lucius-1.3B-Base

The sparse successor is Maximus-MoE.

Weights stay up so the experiment is inspectable. That is the only reason.

The work is ours.

Research and personal evaluation, with credit. Nothing else.

Clyrai Sovereign Research License 1.0

Title stays with Clyrai.

Downloads last month: 616

Safetensors

Model size

1B params

Tensor type

BF16

Model tree for saishshinde15/Clyrai_Lucius-1.3B

Base model

saishshinde15/Clyrai_Lucius-1.3B-Base

Finetuned

(1)

this model

Quantizations

1 model