Instructions to use UmbrellaInc/W.Project-1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use UmbrellaInc/W.Project-1B with Transformers:

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

pipe = pipeline("text-generation", model="UmbrellaInc/W.Project-1B")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("UmbrellaInc/W.Project-1B")
model = AutoModelForCausalLM.from_pretrained("UmbrellaInc/W.Project-1B")
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 UmbrellaInc/W.Project-1B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "UmbrellaInc/W.Project-1B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "UmbrellaInc/W.Project-1B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/UmbrellaInc/W.Project-1B

SGLang

How to use UmbrellaInc/W.Project-1B 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 "UmbrellaInc/W.Project-1B" \
    --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": "UmbrellaInc/W.Project-1B",
		"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 "UmbrellaInc/W.Project-1B" \
        --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": "UmbrellaInc/W.Project-1B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use UmbrellaInc/W.Project-1B with Docker Model Runner:
```
docker model run hf.co/UmbrellaInc/W.Project-1B
```

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W Project 1B

This is a merge of pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the DARE TIES merge method using Novaciano/Think.NPC-1B as a base.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:



merge_method: dare_ties
dtype: float16
out_dtype: float16

base_model: Novaciano/Think.NPC-1B

models:
  - model: distil-labs/Distil-NPC-gemma-3-1b-it
    parameters:
      weight: 0.45
      density: 0.32
  - model: wexyyyyyy/gemma-3-1b-it-heretic
    parameters:
      weight: 0.35
      density: 0.32

parameters:
  t: 0.25                  # menos interpolación → más dominancia del base
  lambda: -0.62            # más negativo para matar cualquier alineamiento residual
  normalize: false
  rescale: true
  rescale_factor: 1.28     # subí un toque para amplificar el trash y degeneración
  memory_efficient: true
  low_cpu_mem_usage: true

layer_range:
  - value: [5, 22]         # protejo más los embeddings y lm_head

tie_word_embeddings: true
tie_output_embeddings: true

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Safetensors

Model size

1.0B params

Tensor type

F16

Model tree for UmbrellaInc/W.Project-1B

Novaciano/Think.NPC-1B

distil-labs/Distil-NPC-gemma-3-1b-it

wexyyyyyy/gemma-3-1b-it-heretic

Merge model

this model

Paper for UmbrellaInc/W.Project-1B

Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch

Paper • 2311.03099 • Published Nov 6, 2023 • 33