Instructions to use Enferlain/ellmo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use Enferlain/ellmo with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="Enferlain/ellmo", filename="13b/Fimbulvetr-11B-v2-Test-14.q6_K.gguf", )
output = llm( "Once upon a time,", max_tokens=512, echo=True ) print(output)
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use Enferlain/ellmo with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf Enferlain/ellmo:Q4_K_M # Run inference directly in the terminal: llama-cli -hf Enferlain/ellmo:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf Enferlain/ellmo:Q4_K_M # Run inference directly in the terminal: llama-cli -hf Enferlain/ellmo: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 Enferlain/ellmo:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf Enferlain/ellmo: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 Enferlain/ellmo:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf Enferlain/ellmo:Q4_K_M
Use Docker
docker model run hf.co/Enferlain/ellmo:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use Enferlain/ellmo with Ollama:
ollama run hf.co/Enferlain/ellmo:Q4_K_M
- Unsloth Studio
How to use Enferlain/ellmo 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 Enferlain/ellmo 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 Enferlain/ellmo to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Enferlain/ellmo to start chatting
- Atomic Chat new
- Docker Model Runner
How to use Enferlain/ellmo with Docker Model Runner:
docker model run hf.co/Enferlain/ellmo:Q4_K_M
- Lemonade
How to use Enferlain/ellmo with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Enferlain/ellmo:Q4_K_M
Run and chat with the model
lemonade run user.ellmo-Q4_K_M
List all available models
lemonade list
File size: 741 Bytes
3202dee | 1 | {"model": null, "model_param": "D:/textgen/models/13b/xwin-lm-13b-v0.1.Q5_K_M.gguf", "port": 5001, "port_param": 5001, "host": "", "launch": true, "lora": null, "config": null, "threads": 16, "blasthreads": 24, "psutil_set_threads": false, "highpriority": false, "contextsize": 4096, "blasbatchsize": 2048, "ropeconfig": [0.0, 10000.0], "stream": true, "smartcontext": true, "unbantokens": false, "bantokens": null, "usemirostat": null, "forceversion": 0, "nommap": false, "usemlock": false, "noavx2": false, "debugmode": false, "skiplauncher": false, "hordeconfig": null, "noblas": false, "useclblast": null, "usecublas": ["normal", "0", "mmq"], "gpulayers": 43, "tensor_split": null, "onready": "", "multiuser": false, "foreground": false} |