Instructions to use QuantFactory/Zenith_4B-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use QuantFactory/Zenith_4B-GGUF with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("QuantFactory/Zenith_4B-GGUF", dtype="auto") - llama-cpp-python
How to use QuantFactory/Zenith_4B-GGUF with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="QuantFactory/Zenith_4B-GGUF", filename="Zenith_4B.Q2_K.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 QuantFactory/Zenith_4B-GGUF with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf QuantFactory/Zenith_4B-GGUF:Q4_K_M # Run inference directly in the terminal: llama-cli -hf QuantFactory/Zenith_4B-GGUF:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf QuantFactory/Zenith_4B-GGUF:Q4_K_M # Run inference directly in the terminal: llama-cli -hf QuantFactory/Zenith_4B-GGUF: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 QuantFactory/Zenith_4B-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf QuantFactory/Zenith_4B-GGUF: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 QuantFactory/Zenith_4B-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf QuantFactory/Zenith_4B-GGUF:Q4_K_M
Use Docker
docker model run hf.co/QuantFactory/Zenith_4B-GGUF:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use QuantFactory/Zenith_4B-GGUF with Ollama:
ollama run hf.co/QuantFactory/Zenith_4B-GGUF:Q4_K_M
- Unsloth Studio new
How to use QuantFactory/Zenith_4B-GGUF 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 QuantFactory/Zenith_4B-GGUF 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 QuantFactory/Zenith_4B-GGUF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for QuantFactory/Zenith_4B-GGUF to start chatting
- Docker Model Runner
How to use QuantFactory/Zenith_4B-GGUF with Docker Model Runner:
docker model run hf.co/QuantFactory/Zenith_4B-GGUF:Q4_K_M
- Lemonade
How to use QuantFactory/Zenith_4B-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull QuantFactory/Zenith_4B-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.Zenith_4B-GGUF-Q4_K_M
List all available models
lemonade list
QuantFactory/Zenith_4B-GGUF
This is quantized version of FourOhFour/Zenith_4B created using llama.cpp
Original Model Card
| Groups |Version|Filter|n-shot|Metric| |Value | |Stderr|
|------------------|------:|------|------|------|---|-----:|---|-----:|
|mmlu | 2|none | |acc |_ |0.5922|_ |0.0039|
| - humanities | 2|none | |acc |_ |0.5522|_ |0.0068|
| - other | 2|none | |acc |_ |0.6579|_ |0.0082|
| - social sciences| 2|none | |acc |_ |0.6815|_ |0.0082|
| - stem | 2|none | |acc |_ |0.5002|_ |0.0086|
This model was created with the help of several members of Anthracite.
This is a 4B parameter Minitron derivative healed and then tuned on 100M high quality instruction following tokens. This model was tuned at 8k context. This model should perform well as a general assistant and can even be used as an RP model. Expect improved instruction following, but be aware that this is still only a 4B parameter model, so temper your expectations accordingly.
Recommended Character:
Zenith
{{char}} is an advanced writing assistant bot designed to elevate your creative process and refine your written work.
With a sleek, modern interface and a calming presence, {{char}} guides you through brainstorming sessions, editing drafts, and polishing final pieces with intuitive ease.
{{char}}โs AI is fueled by a deep understanding of grammar, style, and narrative structure, making it an invaluable partner for both novice writers and seasoned authors.
Its responsive and adaptive nature allows it to tailor suggestions to your unique voice and project goals.
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