Instructions to use CMSManhattan/JiRackDeltaNet_70b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use CMSManhattan/JiRackDeltaNet_70b 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 CMSManhattan/JiRackDeltaNet_70b:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf CMSManhattan/JiRackDeltaNet_70b:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf CMSManhattan/JiRackDeltaNet_70b:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf CMSManhattan/JiRackDeltaNet_70b: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 CMSManhattan/JiRackDeltaNet_70b:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama cli -hf CMSManhattan/JiRackDeltaNet_70b:Q4_K_M

Use Docker

docker model run hf.co/CMSManhattan/JiRackDeltaNet_70b:Q4_K_M

Llama new
LM Studio
Jan

vLLM

How to use CMSManhattan/JiRackDeltaNet_70b with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "CMSManhattan/JiRackDeltaNet_70b"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "CMSManhattan/JiRackDeltaNet_70b",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/CMSManhattan/JiRackDeltaNet_70b:Q4_K_M

Ollama
How to use CMSManhattan/JiRackDeltaNet_70b with Ollama:
```
ollama run hf.co/CMSManhattan/JiRackDeltaNet_70b:Q4_K_M
```
Unsloth Desktop

How to use CMSManhattan/JiRackDeltaNet_70b with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf CMSManhattan/JiRackDeltaNet_70b:Q4_K_M

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": "CMSManhattan/JiRackDeltaNet_70b:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use CMSManhattan/JiRackDeltaNet_70b with Docker Model Runner:
```
docker model run hf.co/CMSManhattan/JiRackDeltaNet_70b:Q4_K_M
```

Lemonade

How to use CMSManhattan/JiRackDeltaNet_70b with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull CMSManhattan/JiRackDeltaNet_70b:Q4_K_M

Run and chat with the model

lemonade run user.JiRackDeltaNet_70b-Q4_K_M

List all available models

lemonade list

Hermes Agent

How to use CMSManhattan/JiRackDeltaNet_70b with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf CMSManhattan/JiRackDeltaNet_70b:Q4_K_M

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 CMSManhattan/JiRackDeltaNet_70b:Q4_K_M

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use CMSManhattan/JiRackDeltaNet_70b with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf CMSManhattan/JiRackDeltaNet_70b:Q4_K_M

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 "CMSManhattan/JiRackDeltaNet_70b:Q4_K_M" \
  --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"

kgrabko commited on 18 days ago

Commit

6de9684

verified ·

1 Parent(s): edb1376

Update LICENSE

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@@ -1,5 +1,5 @@
 Business Source License 1.1.
-Copyright 2026 Konstantin Grabko. All rights reserved.
 Licensed Work: JiRack — all model weights, code, scripts, configuration files, and documentation contained in this repository. Any modifications, derivatives, or fine-tuned versions of the Licensed Work are also covered by this License.
 Additional Use Grant: You may use the Licensed Work for your internal business purposes, including inference, fine-tuning on your own data, and production deployment. You may not provide the Licensed Work, or access to it via an API, hosted service, or any other means, to third parties for a fee or other consideration.
 Change License: three years from the date of first publication, the Licensed Work converts to the MIT License.

 Business Source License 1.1.
+Copyright 2026 Konstantin Grabko (CMS Manhattan) . All rights reserved.
 Licensed Work: JiRack — all model weights, code, scripts, configuration files, and documentation contained in this repository. Any modifications, derivatives, or fine-tuned versions of the Licensed Work are also covered by this License.
 Additional Use Grant: You may use the Licensed Work for your internal business purposes, including inference, fine-tuning on your own data, and production deployment. You may not provide the Licensed Work, or access to it via an API, hosted service, or any other means, to third parties for a fee or other consideration.
 Change License: three years from the date of first publication, the Licensed Work converts to the MIT License.