Instructions to use edbuildingstuff/nothing-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use edbuildingstuff/nothing-model with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="edbuildingstuff/nothing-model",
	filename="model.gguf",
)

llm.create_chat_completion(
	messages = "No input example has been defined for this model task."
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use edbuildingstuff/nothing-model 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 edbuildingstuff/nothing-model
# Run inference directly in the terminal:
llama cli -hf edbuildingstuff/nothing-model

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf edbuildingstuff/nothing-model
# Run inference directly in the terminal:
llama cli -hf edbuildingstuff/nothing-model

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 edbuildingstuff/nothing-model
# Run inference directly in the terminal:
./llama-cli -hf edbuildingstuff/nothing-model

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 edbuildingstuff/nothing-model
# Run inference directly in the terminal:
./build/bin/llama-cli -hf edbuildingstuff/nothing-model

Use Docker

docker model run hf.co/edbuildingstuff/nothing-model

LM Studio
Jan
Ollama
How to use edbuildingstuff/nothing-model with Ollama:
```
ollama run hf.co/edbuildingstuff/nothing-model
```

Unsloth Studio

How to use edbuildingstuff/nothing-model 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 edbuildingstuff/nothing-model 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 edbuildingstuff/nothing-model to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for edbuildingstuff/nothing-model to start chatting

Atomic Chat new
Docker Model Runner
How to use edbuildingstuff/nothing-model with Docker Model Runner:
```
docker model run hf.co/edbuildingstuff/nothing-model
```

Lemonade

How to use edbuildingstuff/nothing-model with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull edbuildingstuff/nothing-model

Run and chat with the model

lemonade run user.nothing-model-{{QUANT_TAG}}

List all available models

lemonade list

nothing-model

File size: 467 Bytes

a21cc56

FROM ./model.gguf
TEMPLATE """{{ if .System }}<|start_header_id|>system<|end_header_id|>

{{ .System }}<|eot_id|>{{ end }}<|start_header_id|>user<|end_header_id|>

{{ .Prompt }}<|eot_id|><|start_header_id|>assistant<|end_header_id|>

{{ .Response }}<|eot_id|>"""
PARAMETER temperature 0.7
PARAMETER top_p 0.9
PARAMETER repeat_penalty 1.15
PARAMETER repeat_last_n 128
PARAMETER stop "<|start_header_id|>"
PARAMETER stop "<|end_header_id|>"
PARAMETER stop "<|eot_id|>"