Instructions to use artificialguybr/LLAMA-3.2-1B-OpenHermes2.5-gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use artificialguybr/LLAMA-3.2-1B-OpenHermes2.5-gguf with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("artificialguybr/LLAMA-3.2-1B-OpenHermes2.5-gguf", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use artificialguybr/LLAMA-3.2-1B-OpenHermes2.5-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 artificialguybr/LLAMA-3.2-1B-OpenHermes2.5-gguf:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf artificialguybr/LLAMA-3.2-1B-OpenHermes2.5-gguf:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf artificialguybr/LLAMA-3.2-1B-OpenHermes2.5-gguf:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf artificialguybr/LLAMA-3.2-1B-OpenHermes2.5-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 artificialguybr/LLAMA-3.2-1B-OpenHermes2.5-gguf:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf artificialguybr/LLAMA-3.2-1B-OpenHermes2.5-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 artificialguybr/LLAMA-3.2-1B-OpenHermes2.5-gguf:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf artificialguybr/LLAMA-3.2-1B-OpenHermes2.5-gguf:Q4_K_M

Use Docker

docker model run hf.co/artificialguybr/LLAMA-3.2-1B-OpenHermes2.5-gguf:Q4_K_M

LM Studio
Jan
Ollama
How to use artificialguybr/LLAMA-3.2-1B-OpenHermes2.5-gguf with Ollama:
```
ollama run hf.co/artificialguybr/LLAMA-3.2-1B-OpenHermes2.5-gguf:Q4_K_M
```
Unsloth Desktop
Docker Model Runner
How to use artificialguybr/LLAMA-3.2-1B-OpenHermes2.5-gguf with Docker Model Runner:
```
docker model run hf.co/artificialguybr/LLAMA-3.2-1B-OpenHermes2.5-gguf:Q4_K_M
```

Lemonade

How to use artificialguybr/LLAMA-3.2-1B-OpenHermes2.5-gguf with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull artificialguybr/LLAMA-3.2-1B-OpenHermes2.5-gguf:Q4_K_M

Run and chat with the model

lemonade run user.LLAMA-3.2-1B-OpenHermes2.5-gguf-Q4_K_M

List all available models

lemonade list

Atomic Chat

About

🌐 Website

You can find more of my models, projects, and information on my official website:

artificialguy.com

🚀 Prompt Hub

Need high-quality prompts for image models and LLMs? Explore findgoodprompt.com.

💖 Support My Work

If you find this model useful, please consider supporting my work. It helps me cover server costs and dedicate more time to new open-source projects.

Patreon: Support on Patreon
Ko-fi: Buy me a Ko-fi
Buy Me a Coffee: Buy me a Coffee Thanks Redmond.AI for GPU Sponsor!

Quantization for: https://huggingface.co/artificialguybr/LLAMA-3.2-1B-OpenHermes2.5/

How to use

If you are unsure how to use GGUF files, look at the TheBloke READMEs for more details, including on how to concatenate multi-part files.

Explore More

Discover more of my models, projects, and practical AI resources:

AI tools directory: JustGoodAI — a curated directory of useful AI tools.

Downloads last month: 315

GGUF

Model size

1B params

Architecture

llama

Hardware compatibility

2-bit

3-bit

4-bit

5-bit

6-bit

8-bit

16-bit

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Model tree for artificialguybr/LLAMA-3.2-1B-OpenHermes2.5-gguf

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LLAMA-3.2-1B-OpenHermes2.5-gguf