Text Generation
Safetensors
GGUF
qwen2
ternary
bitnet
1.58bit
cpu
qwen2.5
deepseek
efficient
low-memory
jirack
web-ui
routing
tool-call
robotics
conversational
Instructions to use CMSManhattan/JiRackUltra_7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use CMSManhattan/JiRackUltra_7b 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/JiRackUltra_7b:Q4_K_M # Run inference directly in the terminal: llama cli -hf CMSManhattan/JiRackUltra_7b: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/JiRackUltra_7b:Q4_K_M # Run inference directly in the terminal: llama cli -hf CMSManhattan/JiRackUltra_7b:Q4_K_M
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf CMSManhattan/JiRackUltra_7b:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf CMSManhattan/JiRackUltra_7b:Q4_K_M
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf CMSManhattan/JiRackUltra_7b:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf CMSManhattan/JiRackUltra_7b:Q4_K_M
Use Docker
docker model run hf.co/CMSManhattan/JiRackUltra_7b:Q4_K_M
- LM Studio
- Jan
- vLLM
How to use CMSManhattan/JiRackUltra_7b with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "CMSManhattan/JiRackUltra_7b" # 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/JiRackUltra_7b", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/CMSManhattan/JiRackUltra_7b:Q4_K_M
- Ollama
How to use CMSManhattan/JiRackUltra_7b with Ollama:
ollama run hf.co/CMSManhattan/JiRackUltra_7b:Q4_K_M
- Unsloth Studio
How to use CMSManhattan/JiRackUltra_7b with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for CMSManhattan/JiRackUltra_7b to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for CMSManhattan/JiRackUltra_7b to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for CMSManhattan/JiRackUltra_7b to start chatting
- Docker Model Runner
How to use CMSManhattan/JiRackUltra_7b with Docker Model Runner:
docker model run hf.co/CMSManhattan/JiRackUltra_7b:Q4_K_M
- Lemonade
How to use CMSManhattan/JiRackUltra_7b with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull CMSManhattan/JiRackUltra_7b:Q4_K_M
Run and chat with the model
lemonade run user.JiRackUltra_7b-Q4_K_M
List all available models
lemonade list
- Atomic Chat
| { | |
| "add_prefix_space": null, | |
| "backend": "tokenizers", | |
| "bos_token": "<|begin▁of▁sentence|>", | |
| "clean_up_tokenization_spaces": false, | |
| "eos_token": "<|end▁of▁sentence|>", | |
| "is_local": false, | |
| "legacy": true, | |
| "local_files_only": false, | |
| "model_max_length": 16384, | |
| "pad_token": "<|end▁of▁sentence|>", | |
| "sp_model_kwargs": {}, | |
| "tokenizer_class": "Qwen2Tokenizer", | |
| "unk_token": null, | |
| "additional_special_tokens": [ | |
| "<|image|>", | |
| "<|video|>", | |
| "<|sound|>", | |
| "<|voice|>", | |
| "<|listening|>", | |
| "<|vision|>", | |
| "<|mood_happy|>", | |
| "<|mood_sad|>", | |
| "<|mood_angry|>", | |
| "<|mood_neutral|>", | |
| "<fim_prefix>", | |
| "<fim_middle>", | |
| "<fim_suffix>", | |
| "<|action_start|>", | |
| "<|action_end|>", | |
| "<|trajectory_start|>", | |
| "<|trajectory_end|>", | |
| "<|joint_start|>", | |
| "<|joint_end|>", | |
| "<|sensor_start|>", | |
| "<|sensor_end|>", | |
| "<|command_start|>", | |
| "<|command_end|>", | |
| "<|state_start|>", | |
| "<|state_end|>", | |
| "<|pose|>", | |
| "<|velocity|>", | |
| "<|force|>", | |
| "<|torque|>", | |
| "<|gripper|>", | |
| "<|navigation|>", | |
| "<|obstacle|>", | |
| "<|task_start|>", | |
| "<|task_end|>", | |
| "<|plan_start|>", | |
| "<|plan_end|>", | |
| "<|behavior_start|>", | |
| "<|behavior_end|>", | |
| "<|skill_start|>", | |
| "<|skill_end|>", | |
| "<|motor|>", | |
| "<|servo|>", | |
| "<|imu|>", | |
| "<|lidar|>", | |
| "<|camera|>", | |
| "<|depth|>", | |
| "<|waypoint|>", | |
| "<|path|>", | |
| "<|collision|>", | |
| "<|grasp|>", | |
| "<|release|>", | |
| "<|homing|>", | |
| "<|emergency_stop|>", | |
| "<|calibration|>", | |
| "<|manipulation|>", | |
| "<|locomotion|>", | |
| "<|feedback|>", | |
| "<|control_loop|>", | |
| "<|language|>", | |
| "<|tool_call_start|>", | |
| "<|tool_call_end|>", | |
| "<|tool_result_start|>", | |
| "<|tool_result_end|>", | |
| "__SCIENCE__", | |
| "__CODING__", | |
| "__STOCK_EXCHANGE__", | |
| "__MEDICINE__", | |
| "__GOVERNMENT__", | |
| "__NEWS__", | |
| "__GENERAL__", | |
| "__MATERIAL_SCIENCE__", | |
| "__ELECTRONICS__", | |
| "__MICROELECTRONICS__", | |
| "__ENGINEERING__", | |
| "__ROBOTICS__", | |
| "__ENERGY__", | |
| "__AUTOMOTIVE__", | |
| "__AVIATION__", | |
| "__MATH__", | |
| "__PYTHON__", | |
| "__C__", | |
| "__CPP__", | |
| "__C_SHARP__", | |
| "__JAVA__", | |
| "__JAVASCRIPT__", | |
| "__TYPESCRIPT__", | |
| "__RUST__", | |
| "__GO__", | |
| "__RUBY__", | |
| "__PHP__", | |
| "__SWIFT__", | |
| "__KOTLIN__", | |
| "__BASH__", | |
| "__SQL__", | |
| "__ASSEMBLY__", | |
| "__PHILOSOPHY__", | |
| "__LITERATURE__", | |
| "__SOCIOLOGY__", | |
| "__PSYCHOLOGY__", | |
| "__POLITICAL_SCIENCE__", | |
| "__CULTURAL_STUDIES__", | |
| "__ETHNOGRAPHY__", | |
| "__HUMAN_RIGHTS__", | |
| "__COMPLIANCE__", | |
| "__MILITARY__", | |
| "__BANKING__", | |
| "__OIL_INDUSTRY__", | |
| "__LIGHT_INDUSTRY__", | |
| "__NATURE__", | |
| "__OCEAN__", | |
| "__SPORT__", | |
| "__CULINARY__", | |
| "__TRAVEL__", | |
| "__HOBBY__" | |
| ] | |
| } |