Instructions to use Aryanne/OpenLlama-3B-v2-WizardEvol-Instruct-v2-gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use Aryanne/OpenLlama-3B-v2-WizardEvol-Instruct-v2-gguf 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 Aryanne/OpenLlama-3B-v2-WizardEvol-Instruct-v2-gguf:Q4_0
# Run inference directly in the terminal:
llama cli -hf Aryanne/OpenLlama-3B-v2-WizardEvol-Instruct-v2-gguf:Q4_0

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Aryanne/OpenLlama-3B-v2-WizardEvol-Instruct-v2-gguf:Q4_0
# Run inference directly in the terminal:
llama cli -hf Aryanne/OpenLlama-3B-v2-WizardEvol-Instruct-v2-gguf:Q4_0

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 Aryanne/OpenLlama-3B-v2-WizardEvol-Instruct-v2-gguf:Q4_0
# Run inference directly in the terminal:
./llama-cli -hf Aryanne/OpenLlama-3B-v2-WizardEvol-Instruct-v2-gguf:Q4_0

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 Aryanne/OpenLlama-3B-v2-WizardEvol-Instruct-v2-gguf:Q4_0
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Aryanne/OpenLlama-3B-v2-WizardEvol-Instruct-v2-gguf:Q4_0

Use Docker

docker model run hf.co/Aryanne/OpenLlama-3B-v2-WizardEvol-Instruct-v2-gguf:Q4_0

LM Studio
Jan
Ollama
How to use Aryanne/OpenLlama-3B-v2-WizardEvol-Instruct-v2-gguf with Ollama:
```
ollama run hf.co/Aryanne/OpenLlama-3B-v2-WizardEvol-Instruct-v2-gguf:Q4_0
```
Unsloth Desktop
Docker Model Runner
How to use Aryanne/OpenLlama-3B-v2-WizardEvol-Instruct-v2-gguf with Docker Model Runner:
```
docker model run hf.co/Aryanne/OpenLlama-3B-v2-WizardEvol-Instruct-v2-gguf:Q4_0
```

Lemonade

How to use Aryanne/OpenLlama-3B-v2-WizardEvol-Instruct-v2-gguf with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Aryanne/OpenLlama-3B-v2-WizardEvol-Instruct-v2-gguf:Q4_0

Run and chat with the model

lemonade run user.OpenLlama-3B-v2-WizardEvol-Instruct-v2-gguf-Q4_0

List all available models

lemonade list

Atomic Chat

Some GGUF v2 quantizations of the model harborwater/open-llama-3b-v2-wizard-evol-instuct-v2-196k

Prompt template:

### HUMAN:
{prompt}

### RESPONSE:
<leave a newline for the model to answer>

Downloads last month: 101

GGUF

Model size

3B params

Architecture

llama

Hardware compatibility

4-bit

5-bit

Inference Providers NEW

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

Aryanne
/

OpenLlama-3B-v2-WizardEvol-Instruct-v2-gguf

Dataset used to train Aryanne/OpenLlama-3B-v2-WizardEvol-Instruct-v2-gguf