Instructions to use Volpidash/deepseek-r1-14b-security with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Volpidash/deepseek-r1-14b-security with PEFT:

from peft import PeftModel
from transformers import AutoModelForCausalLM

base_model = AutoModelForCausalLM.from_pretrained("deepseek-ai/DeepSeek-R1-Distill-Qwen-14B")
model = PeftModel.from_pretrained(base_model, "Volpidash/deepseek-r1-14b-security")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use Volpidash/deepseek-r1-14b-security with llama.cpp:

Install (macOS, Linux)

curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Volpidash/deepseek-r1-14b-security:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Volpidash/deepseek-r1-14b-security:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Volpidash/deepseek-r1-14b-security:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Volpidash/deepseek-r1-14b-security:Q4_K_M

Build from source code

git clone https://github.com/ggml-org/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-app
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama serve -hf Volpidash/deepseek-r1-14b-security:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama cli -hf Volpidash/deepseek-r1-14b-security:Q4_K_M

Use Docker

docker model run hf.co/Volpidash/deepseek-r1-14b-security:Q4_K_M

Llama new
LM Studio
Jan

vLLM

How to use Volpidash/deepseek-r1-14b-security with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Volpidash/deepseek-r1-14b-security"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Volpidash/deepseek-r1-14b-security",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Volpidash/deepseek-r1-14b-security:Q4_K_M

Ollama
How to use Volpidash/deepseek-r1-14b-security with Ollama:
```
ollama run hf.co/Volpidash/deepseek-r1-14b-security:Q4_K_M
```
Unsloth Desktop
Docker Model Runner
How to use Volpidash/deepseek-r1-14b-security with Docker Model Runner:
```
docker model run hf.co/Volpidash/deepseek-r1-14b-security:Q4_K_M
```

Lemonade

How to use Volpidash/deepseek-r1-14b-security with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Volpidash/deepseek-r1-14b-security:Q4_K_M

Run and chat with the model

lemonade run user.deepseek-r1-14b-security-Q4_K_M

List all available models

lemonade list

Atomic Chat

deepseek-r1-14b-security / data-audit.json

Volpidash

Add model overview, research focus, data provenance and LM Studio guide

48e93e5 verified 5 days ago

Raw History Blame Contribute Delete

410 Bytes

{
  "passed": true,
  "source_group_overlap": 0,
  "cve_overlap": 0,
  "counts": {
    "train": {
      "apple_advisory": 1125,
      "cisa_kev": 454,
      "pentesting_explanation": 1817
    },
    "eval": {
      "pentesting_explanation": 180,
      "apple_advisory": 42,
      "cisa_kev": 42
    }
  },
  "records_checked": 3660,
  "max_tokens": 765,
  "mean_tokens": 301.17158469945355
}

	{
	"passed": true,
	"source_group_overlap": 0,
	"cve_overlap": 0,
	"counts": {
	"train": {
	"apple_advisory": 1125,
	"cisa_kev": 454,
	"pentesting_explanation": 1817
	},
	"eval": {
	"pentesting_explanation": 180,
	"apple_advisory": 42,
	"cisa_kev": 42
	}
	},
	"records_checked": 3660,
	"max_tokens": 765,
	"mean_tokens": 301.17158469945355
	}