Instructions to use theNovaAI/Hypernova-experimental-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use theNovaAI/Hypernova-experimental-GGUF with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("theNovaAI/Hypernova-experimental-GGUF", dtype="auto")

llama-cpp-python

How to use theNovaAI/Hypernova-experimental-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="theNovaAI/Hypernova-experimental-GGUF",
	filename="Hypernova-experimental-Q3_K_M.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 theNovaAI/Hypernova-experimental-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf theNovaAI/Hypernova-experimental-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf theNovaAI/Hypernova-experimental-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 theNovaAI/Hypernova-experimental-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf theNovaAI/Hypernova-experimental-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 theNovaAI/Hypernova-experimental-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf theNovaAI/Hypernova-experimental-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 theNovaAI/Hypernova-experimental-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf theNovaAI/Hypernova-experimental-GGUF:Q4_K_M

Use Docker

docker model run hf.co/theNovaAI/Hypernova-experimental-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use theNovaAI/Hypernova-experimental-GGUF with Ollama:
```
ollama run hf.co/theNovaAI/Hypernova-experimental-GGUF:Q4_K_M
```

Unsloth Studio

How to use theNovaAI/Hypernova-experimental-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 theNovaAI/Hypernova-experimental-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 theNovaAI/Hypernova-experimental-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for theNovaAI/Hypernova-experimental-GGUF to start chatting

Atomic Chat new
Docker Model Runner
How to use theNovaAI/Hypernova-experimental-GGUF with Docker Model Runner:
```
docker model run hf.co/theNovaAI/Hypernova-experimental-GGUF:Q4_K_M
```

Lemonade

How to use theNovaAI/Hypernova-experimental-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull theNovaAI/Hypernova-experimental-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Hypernova-experimental-GGUF-Q4_K_M

List all available models

lemonade list

Hypernova-experimental

Quantized to GGUF using llama.cpp

Tried some new stuff this time around. Very different outcome than I expected. This is an experimental model that was created for the development of NovaAI.

Good at chatting and some RP. Sometimes gets characters mixed up. Can occasionally struggle with context.

Prompt Template: Alpaca

Below is an instruction that describes a task. Write a response that appropriately completes the request.

### Instruction:
{prompt}

### Response:

Models Merged

The following models were included in the merge:

Some finetuning done as well

Downloads last month: 30

GGUF

Model size

13B params

Architecture

llama

Hardware compatibility

3-bit

4-bit

5-bit

6-bit

8-bit

16-bit

Inference Providers NEW

This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for theNovaAI/Hypernova-experimental-GGUF

Base model

Gryphe/MythoMax-L2-13b

Quantized

(16)

this model

Collection including theNovaAI/Hypernova-experimental-GGUF

Hypernova

Collection

Experimental series of models, largely untested • 5 items • Updated Feb 3, 2025