Instructions to use OriginTone/cellsentry-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use OriginTone/cellsentry-model 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 OriginTone/cellsentry-model
# Run inference directly in the terminal:
llama cli -hf OriginTone/cellsentry-model

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf OriginTone/cellsentry-model
# Run inference directly in the terminal:
llama cli -hf OriginTone/cellsentry-model

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 OriginTone/cellsentry-model
# Run inference directly in the terminal:
./build/bin/llama cli -hf OriginTone/cellsentry-model

Use Docker

docker model run hf.co/OriginTone/cellsentry-model

Llama new
LM Studio
Jan

vLLM

How to use OriginTone/cellsentry-model with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/OriginTone/cellsentry-model

Ollama
How to use OriginTone/cellsentry-model with Ollama:
```
ollama run hf.co/OriginTone/cellsentry-model
```
Unsloth Desktop

How to use OriginTone/cellsentry-model with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf OriginTone/cellsentry-model

Configure the model in Pi

# Install Pi:
npm install -g @earendil-works/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "OriginTone/cellsentry-model"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use OriginTone/cellsentry-model with Docker Model Runner:
```
docker model run hf.co/OriginTone/cellsentry-model
```

Lemonade

How to use OriginTone/cellsentry-model with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull OriginTone/cellsentry-model

Run and chat with the model

lemonade run user.cellsentry-model-{{QUANT_TAG}}

List all available models

lemonade list

Hermes Agent

How to use OriginTone/cellsentry-model with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf OriginTone/cellsentry-model

Configure Hermes

# Install Hermes:
curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
hermes setup
# Point Hermes at the local server:
hermes config set model.provider custom
hermes config set model.base_url http://127.0.0.1:8080/v1
hermes config set model.default OriginTone/cellsentry-model

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use OriginTone/cellsentry-model with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf OriginTone/cellsentry-model

Configure OpenClaw

# Install OpenClaw:
npm install -g openclaw@latest
# Register the local server and set it as the default model:
openclaw onboard --non-interactive --mode local \
  --auth-choice custom-api-key \
  --custom-base-url http://127.0.0.1:8080/v1 \
  --custom-model-id "OriginTone/cellsentry-model" \
  --custom-provider-id llama-cpp \
  --custom-compatibility openai \
  --custom-text-input \
  --accept-risk \
  --skip-health

Run OpenClaw

openclaw agent --local --agent main --message "Hello from Hugging Face"

almax000 commited on 5 days ago

Commit

9cae257

verified ·

1 Parent(s): 5026ba9

Point model card links at OriginTone

Browse files

Files changed (1) hide show

README.md +2 -2

README.md CHANGED Viewed

@@ -33,7 +33,7 @@ The actually hosted artifact is `cellsentry-1.5b-v3-q4km.gguf`: **986047968 byte
 ### Download and use
 ```sh
-hf download cellsentry-team/cellsentry-model cellsentry-1.5b-v3-q4km.gguf --local-dir models
 ```
 Use a compatible llama.cpp runtime and the task-specific Qwen ChatML/JSON protocol expected by the calling application. Historical tasks were formula-alert review, PII detection and structured extraction; their protocols and evaluation are distinct. This GGUF is not interchangeable with mmBERT encoder-plus-head checkpoints.
@@ -42,7 +42,7 @@ Some legacy local workflows still use this pinned artifact. Do not infer the cur
 ### Historical documentation and license
-The complete pre-cleanup model card remains available at [the fixed historical revision](https://huggingface.co/cellsentry-team/cellsentry-model/blob/f980626974cd1722ea516ef3caacf598d17a64b4/README.md). The weight bytes and download path are unchanged. The existing MIT metadata and upstream Qwen attribution are retained; this cleanup does not relicense or retrain the model.
 ## 中文

 ### Download and use
 ```sh
+hf download OriginTone/cellsentry-model cellsentry-1.5b-v3-q4km.gguf --local-dir models
 ```
 Use a compatible llama.cpp runtime and the task-specific Qwen ChatML/JSON protocol expected by the calling application. Historical tasks were formula-alert review, PII detection and structured extraction; their protocols and evaluation are distinct. This GGUF is not interchangeable with mmBERT encoder-plus-head checkpoints.
 ### Historical documentation and license
+The complete pre-cleanup model card remains available at [the fixed historical revision](https://huggingface.co/OriginTone/cellsentry-model/blob/f980626974cd1722ea516ef3caacf598d17a64b4/README.md). The weight bytes and download path are unchanged. The existing MIT metadata and upstream Qwen attribution are retained; this cleanup does not relicense or retrain the model.
 ## 中文