Text Generation
Safetensors
GGUF
English
qwen3
marxism-leninism
grpo
llama-cpp
ollama
political-education
marxism
communism
political-extremism
conversational
Instructions to use percyraskova/MLMLML 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 percyraskova/MLMLML 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 percyraskova/MLMLML:F16 # Run inference directly in the terminal: llama cli -hf percyraskova/MLMLML:F16
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf percyraskova/MLMLML:F16 # Run inference directly in the terminal: llama cli -hf percyraskova/MLMLML:F16
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 percyraskova/MLMLML:F16 # Run inference directly in the terminal: ./llama-cli -hf percyraskova/MLMLML:F16
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 percyraskova/MLMLML:F16 # Run inference directly in the terminal: ./build/bin/llama-cli -hf percyraskova/MLMLML:F16
Use Docker
docker model run hf.co/percyraskova/MLMLML:F16
- LM Studio
- Jan
- vLLM
How to use percyraskova/MLMLML with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "percyraskova/MLMLML" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "percyraskova/MLMLML", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/percyraskova/MLMLML:F16
- Ollama
How to use percyraskova/MLMLML with Ollama:
ollama run hf.co/percyraskova/MLMLML:F16
- Unsloth Studio
How to use percyraskova/MLMLML 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 percyraskova/MLMLML 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 percyraskova/MLMLML to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for percyraskova/MLMLML to start chatting
- Pi
How to use percyraskova/MLMLML with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf percyraskova/MLMLML:F16
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": "percyraskova/MLMLML:F16" } ] } } }Run Pi
# Start Pi in your project directory: pi
- OpenClaw new
How to use percyraskova/MLMLML with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf percyraskova/MLMLML:F16
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 "percyraskova/MLMLML:F16" \ --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 percyraskova/MLMLML with Docker Model Runner:
docker model run hf.co/percyraskova/MLMLML:F16
- Lemonade
How to use percyraskova/MLMLML with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull percyraskova/MLMLML:F16
Run and chat with the model
lemonade run user.MLMLML-F16
List all available models
lemonade list
- Hermes Agent
How to use percyraskova/MLMLML with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf percyraskova/MLMLML:F16
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 percyraskova/MLMLML:F16
Run Hermes
hermes
- Atomic Chat
| {%- if not add_generation_prompt is defined %} | |
| {%- set add_generation_prompt = false %} | |
| {%- endif %} | |
| {%- set ns = namespace(is_first=false, is_tool=false, is_output_first=true, system_prompt='', is_first_sp=true, is_last_user=false) %} | |
| {%- for message in messages %} | |
| {%- if message['role'] == 'system' %} | |
| {%- if ns.is_first_sp %} | |
| {%- set ns.system_prompt = ns.system_prompt + message['content'] %} | |
| {%- set ns.is_first_sp = false %} | |
| {%- else %} | |
| {%- set ns.system_prompt = ns.system_prompt + '\n\n' + message['content'] %} | |
| {%- endif %} | |
| {%- endif %} | |
| {%- endfor %} | |
| {#- Adapted from https://github.com/sgl-project/sglang/blob/main/examples/chat_template/tool_chat_template_deepseekr1.jinja #} | |
| {%- if tools is defined and tools is not none %} | |
| {%- set tool_ns = namespace(text='You are a helpful assistant with tool calling capabilities. ' + 'When a tool call is needed, you MUST use the following format to issue the call:\n' + '<|tool▁calls▁begin|><|tool▁call▁begin|>function<|tool▁sep|>FUNCTION_NAME\n' + '```json\n{"param1": "value1", "param2": "value2"}\n```<|tool▁call▁end|><|tool▁calls▁end|>\n\n' + 'Make sure the JSON is valid.' + '## Tools\n\n### Function\n\nYou have the following functions available:\n\n') %} | |
| {%- for tool in tools %} | |
| {%- set tool_ns.text = tool_ns.text + '\n```json\n' + (tool | tojson) + '\n```\n' %} | |
| {%- endfor %} | |
| {%- if ns.system_prompt|length != 0 %} | |
| {%- set ns.system_prompt = ns.system_prompt + '\n\n' + tool_ns.text %} | |
| {%- else %} | |
| {%- set ns.system_prompt = tool_ns.text %} | |
| {%- endif %} | |
| {%- endif %} | |
| {{- bos_token }} | |
| {{- ns.system_prompt }} | |
| {%- set last_index = (messages|length - 1) %} | |
| {%- for message in messages %} | |
| {%- set content = message['content'] %} | |
| {%- if message['role'] == 'user' %} | |
| {%- set ns.is_tool = false -%} | |
| {%- set ns.is_first = false -%} | |
| {%- set ns.is_last_user = true -%} | |
| {%- if loop.index0 == last_index %} | |
| {{- '<|User|>' + content }} | |
| {%- else %} | |
| {{- '<|User|>' + content + '<|Assistant|>'}} | |
| {%- endif %} | |
| {%- endif %} | |
| {%- if message['role'] == 'assistant' %} | |
| {%- if '</think>' in content %} | |
| {%- set content = (content.split('</think>')|last) %} | |
| {%- endif %} | |
| {%- endif %} | |
| {%- if message['role'] == 'assistant' and message['tool_calls'] is defined and message['tool_calls'] is not none %} | |
| {%- set ns.is_last_user = false -%} | |
| {%- if ns.is_tool %} | |
| {{- '<|tool▁outputs▁end|>'}} | |
| {%- endif %} | |
| {%- set ns.is_first = false %} | |
| {%- set ns.is_tool = false -%} | |
| {%- set ns.is_output_first = true %} | |
| {%- for tool in message['tool_calls'] %} | |
| {%- set arguments = tool['function']['arguments'] %} | |
| {%- if arguments is not string %} | |
| {%- set arguments = arguments|tojson %} | |
| {%- endif %} | |
| {%- if not ns.is_first %} | |
| {%- if content is none %} | |
| {{- '<|tool▁calls▁begin|><|tool▁call▁begin|>' + tool['type'] + '<|tool▁sep|>' + tool['function']['name'] + '\n' + '```json' + '\n' + arguments + '\n' + '```' + '<|tool▁call▁end|>'}} | |
| } | |
| {%- else %} | |
| {{- content + '<|tool▁calls▁begin|><|tool▁call▁begin|>' + tool['type'] + '<|tool▁sep|>' + tool['function']['name'] + '\n' + '```json' + '\n' + arguments + '\n' + '```' + '<|tool▁call▁end|>'}} | |
| {%- endif %} | |
| {%- set ns.is_first = true -%} | |
| {%- else %} | |
| {{- '\n' + '<|tool▁call▁begin|>' + tool['type'] + '<|tool▁sep|>' + tool['function']['name'] + '\n' + '```json' + '\n' + arguments + '\n' + '```' + '<|tool▁call▁end|>'}} | |
| {%- endif %} | |
| {%- endfor %} | |
| {{- '<|tool▁calls▁end|><|end▁of▁sentence|>'}} | |
| {%- endif %} | |
| {%- if message['role'] == 'assistant' and (message['tool_calls'] is not defined or message['tool_calls'] is none) %} | |
| {%- set ns.is_last_user = false -%} | |
| {%- if ns.is_tool %} | |
| {{- '<|tool▁outputs▁end|>' + content + '<|end▁of▁sentence|>'}} | |
| {%- set ns.is_tool = false -%} | |
| {%- else %} | |
| {{- content + '<|end▁of▁sentence|>'}} | |
| {%- endif %} | |
| {%- endif %} | |
| {%- if message['role'] == 'tool' %} | |
| {%- set ns.is_last_user = false -%} | |
| {%- set ns.is_tool = true -%} | |
| {%- if ns.is_output_first %} | |
| {{- '<|tool▁outputs▁begin|><|tool▁output▁begin|>' + content + '<|tool▁output▁end|>'}} | |
| {%- set ns.is_output_first = false %} | |
| {%- else %} | |
| {{- '\n<|tool▁output▁begin|>' + content + '<|tool▁output▁end|>'}} | |
| {%- endif %} | |
| {%- endif %} | |
| {%- endfor -%} | |
| {%- if ns.is_tool %} | |
| {{- '<|tool▁outputs▁end|>'}} | |
| {%- endif %} | |
| {#- if add_generation_prompt and not ns.is_last_user and not ns.is_tool #} | |
| {%- if add_generation_prompt and not ns.is_tool %} | |
| {{- '<|Assistant|>'}} | |
| {%- endif %} |