Instructions to use finnianx/GPT-5-LFM-2-1.2b-Distill with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use finnianx/GPT-5-LFM-2-1.2b-Distill with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("finnianx/GPT-5-LFM-2-1.2b-Distill", dtype="auto") - llama-cpp-python
How to use finnianx/GPT-5-LFM-2-1.2b-Distill with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="finnianx/GPT-5-LFM-2-1.2b-Distill", filename="GPT5-LFM-2-1.6B-Distill-F16.gguf", )
llm.create_chat_completion( messages = "No input example has been defined for this model task." )
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- llama.cpp
How to use finnianx/GPT-5-LFM-2-1.2b-Distill with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf finnianx/GPT-5-LFM-2-1.2b-Distill:Q4_K_M # Run inference directly in the terminal: llama-cli -hf finnianx/GPT-5-LFM-2-1.2b-Distill:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf finnianx/GPT-5-LFM-2-1.2b-Distill:Q4_K_M # Run inference directly in the terminal: llama-cli -hf finnianx/GPT-5-LFM-2-1.2b-Distill: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 finnianx/GPT-5-LFM-2-1.2b-Distill:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf finnianx/GPT-5-LFM-2-1.2b-Distill: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 finnianx/GPT-5-LFM-2-1.2b-Distill:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf finnianx/GPT-5-LFM-2-1.2b-Distill:Q4_K_M
Use Docker
docker model run hf.co/finnianx/GPT-5-LFM-2-1.2b-Distill:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use finnianx/GPT-5-LFM-2-1.2b-Distill with Ollama:
ollama run hf.co/finnianx/GPT-5-LFM-2-1.2b-Distill:Q4_K_M
- Unsloth Studio new
How to use finnianx/GPT-5-LFM-2-1.2b-Distill 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 finnianx/GPT-5-LFM-2-1.2b-Distill 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 finnianx/GPT-5-LFM-2-1.2b-Distill to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for finnianx/GPT-5-LFM-2-1.2b-Distill to start chatting
- Docker Model Runner
How to use finnianx/GPT-5-LFM-2-1.2b-Distill with Docker Model Runner:
docker model run hf.co/finnianx/GPT-5-LFM-2-1.2b-Distill:Q4_K_M
- Lemonade
How to use finnianx/GPT-5-LFM-2-1.2b-Distill with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull finnianx/GPT-5-LFM-2-1.2b-Distill:Q4_K_M
Run and chat with the model
lemonade run user.GPT-5-LFM-2-1.2b-Distill-Q4_K_M
List all available models
lemonade list
How to use from
llama.cppInstall from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf finnianx/GPT-5-LFM-2-1.2b-Distill:# Run inference directly in the terminal:
llama-cli -hf finnianx/GPT-5-LFM-2-1.2b-Distill: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 finnianx/GPT-5-LFM-2-1.2b-Distill:# Run inference directly in the terminal:
./llama-cli -hf finnianx/GPT-5-LFM-2-1.2b-Distill: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 finnianx/GPT-5-LFM-2-1.2b-Distill:# Run inference directly in the terminal:
./build/bin/llama-cli -hf finnianx/GPT-5-LFM-2-1.2b-Distill:Use Docker
docker model run hf.co/finnianx/GPT-5-LFM-2-1.2b-Distill:Quick Links
Uploaded model
- Developed by: finnianx
- License: apache-2.0
- Finetuned from model : unsloth/LFM2-1.2B
This lfm2 model was trained 2x faster with Unsloth and Huggingface's TRL library.
A version of LFM 2 1.2b finetuned on the ytz20/LMSYS-Chat-GPT-5-Chat-Response dataset.
Mimics the behavior and response style of Chatgpt 5. Trained on responses only to increase accuracy.

Training Parameters
- Lora Rank: r = 32
- Lora Alpha: lora_alpha = 32
- Learning rate: learning_rate = 2e-4
- Training epochs: num_train_epochs = 1
- Downloads last month
- 100
Hardware compatibility
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Dataset used to train finnianx/GPT-5-LFM-2-1.2b-Distill
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Install from brew
# Start a local OpenAI-compatible server with a web UI: llama-server -hf finnianx/GPT-5-LFM-2-1.2b-Distill:# Run inference directly in the terminal: llama-cli -hf finnianx/GPT-5-LFM-2-1.2b-Distill: