Instructions to use saidutta69/lfm2.5-2.6b-fable5-coding-agent-heretic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use saidutta69/lfm2.5-2.6b-fable5-coding-agent-heretic 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 saidutta69/lfm2.5-2.6b-fable5-coding-agent-heretic:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf saidutta69/lfm2.5-2.6b-fable5-coding-agent-heretic:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf saidutta69/lfm2.5-2.6b-fable5-coding-agent-heretic:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf saidutta69/lfm2.5-2.6b-fable5-coding-agent-heretic: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 saidutta69/lfm2.5-2.6b-fable5-coding-agent-heretic:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf saidutta69/lfm2.5-2.6b-fable5-coding-agent-heretic: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 saidutta69/lfm2.5-2.6b-fable5-coding-agent-heretic:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf saidutta69/lfm2.5-2.6b-fable5-coding-agent-heretic:Q4_K_M

Use Docker

docker model run hf.co/saidutta69/lfm2.5-2.6b-fable5-coding-agent-heretic:Q4_K_M

LM Studio
Jan

vLLM

How to use saidutta69/lfm2.5-2.6b-fable5-coding-agent-heretic with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "saidutta69/lfm2.5-2.6b-fable5-coding-agent-heretic"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "saidutta69/lfm2.5-2.6b-fable5-coding-agent-heretic",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/saidutta69/lfm2.5-2.6b-fable5-coding-agent-heretic:Q4_K_M

Ollama
How to use saidutta69/lfm2.5-2.6b-fable5-coding-agent-heretic with Ollama:
```
ollama run hf.co/saidutta69/lfm2.5-2.6b-fable5-coding-agent-heretic:Q4_K_M
```

Unsloth Studio

How to use saidutta69/lfm2.5-2.6b-fable5-coding-agent-heretic 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 saidutta69/lfm2.5-2.6b-fable5-coding-agent-heretic 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 saidutta69/lfm2.5-2.6b-fable5-coding-agent-heretic to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for saidutta69/lfm2.5-2.6b-fable5-coding-agent-heretic to start chatting

How to use saidutta69/lfm2.5-2.6b-fable5-coding-agent-heretic with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf saidutta69/lfm2.5-2.6b-fable5-coding-agent-heretic:Q4_K_M

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": "saidutta69/lfm2.5-2.6b-fable5-coding-agent-heretic:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use saidutta69/lfm2.5-2.6b-fable5-coding-agent-heretic with Docker Model Runner:
```
docker model run hf.co/saidutta69/lfm2.5-2.6b-fable5-coding-agent-heretic:Q4_K_M
```

Lemonade

How to use saidutta69/lfm2.5-2.6b-fable5-coding-agent-heretic with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull saidutta69/lfm2.5-2.6b-fable5-coding-agent-heretic:Q4_K_M

Run and chat with the model

lemonade run user.lfm2.5-2.6b-fable5-coding-agent-heretic-Q4_K_M

List all available models

lemonade list

Hermes Agent

How to use saidutta69/lfm2.5-2.6b-fable5-coding-agent-heretic with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf saidutta69/lfm2.5-2.6b-fable5-coding-agent-heretic: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 saidutta69/lfm2.5-2.6b-fable5-coding-agent-heretic:Q4_K_M

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use saidutta69/lfm2.5-2.6b-fable5-coding-agent-heretic with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf saidutta69/lfm2.5-2.6b-fable5-coding-agent-heretic: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 "saidutta69/lfm2.5-2.6b-fable5-coding-agent-heretic: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"

saidutta69 commited on 3 days ago

Commit

ca6d8e1

verified ·

1 Parent(s): f4ebaee

Upload reproduce/requirements.txt with huggingface_hub

Browse files

Files changed (1) hide show

reproduce/requirements.txt +110 -0

reproduce/requirements.txt ADDED Viewed

	@@ -0,0 +1,110 @@

+absl-py==1.4.0
+accelerate==1.14.0
+alembic==1.19.1
+annotated-doc==0.0.5
+annotated-types==0.8.0
+anyio==4.14.2
+bitsandbytes==0.50.1
+certifi==2026.7.22
+chardet==5.2.0
+charset-normalizer==3.4.9
+click==8.4.2
+colorama==0.4.6
+colorlog==6.12.0
+cuda-bindings==12.9.7
+cuda-pathfinder==1.6.0
+cuda-toolkit==12.8.1
+dataproperty==1.1.1
+datasets==4.8.5
+dill==0.3.8
+evaluate==0.4.6
+filelock==3.32.3
+fsspec==2025.3.0
+greenlet==3.5.5
+h11==0.16.0
+heretic-llm==1.4.0
+hf-xet==1.6.0
+httpcore==1.0.9
+httpx==0.28.1
+huggingface-hub==1.27.0
+idna==3.18
+immutabledict==4.3.1
+importlib-metadata==9.0.0
+jinja2==3.1.6
+joblib==1.5.3
+langdetect==1.0.9
+lm-eval==0.4.12
+lxml==6.1.1
+mako==1.1.3
+markdown-it-py==4.2.0
+markupsafe==3.0.3
+mbstrdecoder==1.1.5
+mdurl==0.1.2
+more-itertools==10.8.0
+mpmath==1.3.0
+multiprocess==0.70.16
+networkx==3.6.1
+nltk==3.9.1
+numpy==2.5.2
+nvidia-cublas-cu12==12.8.4.1
+nvidia-cudnn-cu12==9.19.0.56
+nvidia-cusparselt-cu12==0.7.1
+nvidia-nccl-cu12==2.28.9
+nvidia-nvshmem-cu12==3.4.5
+optuna==4.9.0
+packaging==26.3
+pandas==2.2.3
+pathvalidate==3.3.1
+peft==0.20.0
+pillow==11.3.0
+portalocker==4.1.0
+prompt-toolkit==3.0.53
+psutil==7.2.2
+py-cpuinfo==9.0.0
+pyarrow==25.0.1
+pydantic==2.13.4
+pydantic-core==2.46.4
+pydantic-settings==2.15.0
+pygments==2.20.0
+pytablewriter==1.2.1
+python-dateutil==2.9.0.post0
+python-dotenv==1.2.2
+pytz==2025.2
+pyyaml==6.0.3
+questionary==2.1.1
+regex==2025.11.3
+requests==2.32.4
+rich==14.3.4
+rouge-score==0.1.2
+sacrebleu==2.6.0
+safetensors==0.8.0
+scikit-learn==1.6.1
+scipy==1.16.3
+setuptools==75.2.0
+shellingham==1.5.4
+six==1.17.0
+sqlalchemy==2.0.52
+sqlitedict==2.1.0
+sympy==1.14.0
+tabledata==1.3.5
+tabulate==0.9.0
+tcolorpy==0.1.7
+threadpoolctl==3.6.0
+tokenizers==0.22.2
+tomli-w==1.2.0
+torch==2.11.0
+torchaudio==2.11.0
+torchvision==0.26.0
+tqdm==4.67.3
+transformers==5.15.0
+triton==3.6.0
+typepy==1.3.5
+typer==0.27.1
+typing-extensions==4.16.0
+typing-inspection==0.4.4
+tzdata==2026.3
+urllib3==2.5.0
+wcwidth==0.8.2
+word2number==1.1
+xxhash==4.0.0
+zipp==4.1.0