Instructions to use NovaCorp/Penetrator-3.2-1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use NovaCorp/Penetrator-3.2-1B with Transformers:

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

pipe = pipeline("text-generation", model="NovaCorp/Penetrator-3.2-1B")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("NovaCorp/Penetrator-3.2-1B")
model = AutoModelForCausalLM.from_pretrained("NovaCorp/Penetrator-3.2-1B")
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 NovaCorp/Penetrator-3.2-1B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "NovaCorp/Penetrator-3.2-1B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "NovaCorp/Penetrator-3.2-1B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/NovaCorp/Penetrator-3.2-1B

SGLang

How to use NovaCorp/Penetrator-3.2-1B 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 "NovaCorp/Penetrator-3.2-1B" \
    --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": "NovaCorp/Penetrator-3.2-1B",
		"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 "NovaCorp/Penetrator-3.2-1B" \
        --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": "NovaCorp/Penetrator-3.2-1B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use NovaCorp/Penetrator-3.2-1B with Docker Model Runner:
```
docker model run hf.co/NovaCorp/Penetrator-3.2-1B
```
Browse Quantizations to use this model in llama.cpp, Ollama, LM Studio, or any compatible app.

Penetrator 3.2 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 N-Bot-Int/MaidEllaA-1B as a base.

Models Merged

The following models were included in the merge:

NickyNicky/Llama-1B-base-GRPO-miniThinky_v1

Configuration

The following YAML configuration was used to produce this model:



# =====================================================
# Project: Penetrator-3.2-1B
# Objective:
# Keep MaidElla coherent while injecting
# GRPO-miniThinky_v1
# Philosophy:
# "Tiny incision, not brain damage."
# =====================================================

base_model: N-Bot-Int/MaidEllaA-1B

merge_method: dare_ties

dtype: bfloat16
out_dtype: float16

models:
  # =================================================
  # PRIMARY BRAIN
  # =================================================
  - model: N-Bot-Int/MaidEllaA-1B
    parameters:
      weight:
        # Preserve language structure
        - filter: self_attn
          value: 1.02

        # Slightly reinforce RP behavior
        - filter: mlp
          value: 1.04

        # Global anchor
        - value: 1.0

  # =================================================
  # GRPO MICRO-INJECTION
  # =================================================
  - model: NickyNicky/Llama-1B-base-GRPO-miniThinky_v1
    parameters:
      weight:
        # ONLY touch behavioral MLPs lightly
        # Higher values already proved unstable
        - filter: mlp
          value: 0.045

        # Extremely conservative global influence
        - value: 0.018

# =====================================================
# GLOBAL PARAMETERS
# =====================================================

parameters:
  # Extremely conservative density
  # enough to influence behavior
  # without liquefying semantics
  density: 0.11

  # Critical for tiny models
  # normalize=true caused collapse before
  normalize: false

  int8_mask: false

# =====================================================
# TOKENIZER SAFETY
# =====================================================

tokenizer_source: N-Bot-Int/MaidEllaA-1B

# =====================================================
# EMBEDDINGS
# =====================================================

tie_word_embeddings: true
tie_output_embeddings: true

Downloads last month: 28

Safetensors

Model size

1B params

Tensor type

F16

Model tree for NovaCorp/Penetrator-3.2-1B

N-Bot-Int/MaidEllaA-1B

NickyNicky/Llama-1B-base-GRPO-miniThinky_v1

Merge model

this model

Quantizations

2 models

Paper for NovaCorp/Penetrator-3.2-1B

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

Paper • 2311.03099 • Published Nov 6, 2023 • 33