Instructions to use zmail-tech/ZPT-Commit-1.2b-instruct 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 zmail-tech/ZPT-Commit-1.2b-instruct 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 zmail-tech/ZPT-Commit-1.2b-instruct:Q8_0 # Run inference directly in the terminal: llama cli -hf zmail-tech/ZPT-Commit-1.2b-instruct:Q8_0
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf zmail-tech/ZPT-Commit-1.2b-instruct:Q8_0 # Run inference directly in the terminal: llama cli -hf zmail-tech/ZPT-Commit-1.2b-instruct:Q8_0
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 zmail-tech/ZPT-Commit-1.2b-instruct:Q8_0 # Run inference directly in the terminal: ./llama-cli -hf zmail-tech/ZPT-Commit-1.2b-instruct:Q8_0
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 zmail-tech/ZPT-Commit-1.2b-instruct:Q8_0 # Run inference directly in the terminal: ./build/bin/llama-cli -hf zmail-tech/ZPT-Commit-1.2b-instruct:Q8_0
Use Docker
docker model run hf.co/zmail-tech/ZPT-Commit-1.2b-instruct:Q8_0
- LM Studio
- Jan
- Ollama
How to use zmail-tech/ZPT-Commit-1.2b-instruct with Ollama:
ollama run hf.co/zmail-tech/ZPT-Commit-1.2b-instruct:Q8_0
- Unsloth Studio
How to use zmail-tech/ZPT-Commit-1.2b-instruct 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 zmail-tech/ZPT-Commit-1.2b-instruct 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 zmail-tech/ZPT-Commit-1.2b-instruct to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for zmail-tech/ZPT-Commit-1.2b-instruct to start chatting
- Pi
How to use zmail-tech/ZPT-Commit-1.2b-instruct with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf zmail-tech/ZPT-Commit-1.2b-instruct:Q8_0
Configure the model in Pi
# Install Pi: npm install -g @mariozechner/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "zmail-tech/ZPT-Commit-1.2b-instruct:Q8_0" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use zmail-tech/ZPT-Commit-1.2b-instruct with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf zmail-tech/ZPT-Commit-1.2b-instruct:Q8_0
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 zmail-tech/ZPT-Commit-1.2b-instruct:Q8_0
Run Hermes
hermes
- Atomic Chat new
- OpenClaw new
How to use zmail-tech/ZPT-Commit-1.2b-instruct with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf zmail-tech/ZPT-Commit-1.2b-instruct:Q8_0
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 "zmail-tech/ZPT-Commit-1.2b-instruct:Q8_0" \ --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"
- Docker Model Runner
How to use zmail-tech/ZPT-Commit-1.2b-instruct with Docker Model Runner:
docker model run hf.co/zmail-tech/ZPT-Commit-1.2b-instruct:Q8_0
- Lemonade
How to use zmail-tech/ZPT-Commit-1.2b-instruct with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull zmail-tech/ZPT-Commit-1.2b-instruct:Q8_0
Run and chat with the model
lemonade run user.ZPT-Commit-1.2b-instruct-Q8_0
List all available models
lemonade list
File size: 1,783 Bytes
965d6d2 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 | {{- bos_token -}}
{%- set keep_past_thinking = keep_past_thinking | default(false) -%}
{%- set ns = namespace(system_prompt="") -%}
{%- if messages[0]["role"] == "system" -%}
{%- set ns.system_prompt = messages[0]["content"] -%}
{%- set messages = messages[1:] -%}
{%- endif -%}
{%- if tools -%}
{%- set ns.system_prompt = ns.system_prompt + ("\n" if ns.system_prompt else "") + "List of tools: [" -%}
{%- for tool in tools -%}
{%- if tool is not string -%}
{%- set tool = tool | tojson -%}
{%- endif -%}
{%- set ns.system_prompt = ns.system_prompt + tool -%}
{%- if not loop.last -%}
{%- set ns.system_prompt = ns.system_prompt + ", " -%}
{%- endif -%}
{%- endfor -%}
{%- set ns.system_prompt = ns.system_prompt + "]" -%}
{%- endif -%}
{%- if ns.system_prompt -%}
{{- "<|im_start|>system\n" + ns.system_prompt + "<|im_end|>\n" -}}
{%- endif -%}
{%- set ns.last_assistant_index = -1 -%}
{%- for message in messages -%}
{%- if message["role"] == "assistant" -%}
{%- set ns.last_assistant_index = loop.index0 -%}
{%- endif -%}
{%- endfor -%}
{%- for message in messages -%}
{{- "<|im_start|>" + message["role"] + "\n" -}}
{%- set content = message["content"] -%}
{%- if content is not string -%}
{%- set content = content | tojson -%}
{%- endif -%}
{%- if message["role"] == "assistant" and not keep_past_thinking and loop.index0 != ns.last_assistant_index -%}
{%- if "</think>" in content -%}
{%- set content = content.split("</think>")[-1] | trim -%}
{%- endif -%}
{%- endif -%}
{{- content + "<|im_end|>\n" -}}
{%- endfor -%}
{%- if add_generation_prompt -%}
{{- "<|im_start|>assistant\n" -}}
{%- endif -%} |