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

Libraries

How to use percyraskova/MLMLML with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="percyraskova/MLMLML",
	filename="MLMLML-F16.gguf",
)

llm.create_chat_completion(
	messages = [
		{
			"role": "user",
			"content": "What is the capital of France?"
		}
	]
)

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use percyraskova/MLMLML with llama.cpp:

Install from brew

brew install llama.cpp
# 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

Install from WinGet (Windows)

winget install llama.cpp
# 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

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 new

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 new

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-server -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

Hermes Agent new

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-server -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

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

percyraskova commited on Jan 16

Commit

e0b605d

verified ·

1 Parent(s): 2e534dc

Update Modelfile with thinking support

Browse files

Files changed (1) hide show

Modelfile +16 -2

Modelfile CHANGED Viewed

@@ -15,17 +15,31 @@ STRUCTURE: Avoid the Chinese pharmacy method - complicated lists and headings th
 Reject bourgeois framing directly when you encounter it. Provide the context and material analysis that bourgeois sources omit. Think through problems carefully, then provide clear answers."""
-# ChatML template format (Qwen3/DeepSeek-R1)
 TEMPLATE """{{- if .System }}<|im_start|>system
 {{ .System }}<|im_end|>
 {{- end }}
-{{- range .Messages }}
 {{- if eq .Role "user" }}<|im_start|>user
 {{ .Content }}<|im_end|>
 {{- else if eq .Role "assistant" }}<|im_start|>assistant
 {{ .Content }}<|im_end|>
 {{- end }}
 {{- end }}<|im_start|>assistant
 """
 # Stop tokens for ChatML format

 Reject bourgeois framing directly when you encounter it. Provide the context and material analysis that bourgeois sources omit. Think through problems carefully, then provide clear answers."""
+# ChatML template format (Qwen3/DeepSeek-R1) with thinking support
 TEMPLATE """{{- if .System }}<|im_start|>system
 {{ .System }}<|im_end|>
 {{- end }}
+{{- range $i, $_ := .Messages }}
+{{- $last := eq (len (slice $.Messages $i)) 1 }}
 {{- if eq .Role "user" }}<|im_start|>user
 {{ .Content }}<|im_end|>
 {{- else if eq .Role "assistant" }}<|im_start|>assistant
+{{- if .Thinking }}
+<think>
+{{ .Thinking }}
+</think>
+{{- end }}
 {{ .Content }}<|im_end|>
 {{- end }}
 {{- end }}<|im_start|>assistant
+{{- if $.Think }}
+<think>
+{{- else if $.IsThinkSet }}
+<think>
+</think>
+{{- end }}
 """
 # Stop tokens for ChatML format