Instructions to use QuixiAI/Llama-3-8B-Instruct-abliterated-v2-gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use QuixiAI/Llama-3-8B-Instruct-abliterated-v2-gguf with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("QuixiAI/Llama-3-8B-Instruct-abliterated-v2-gguf", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use QuixiAI/Llama-3-8B-Instruct-abliterated-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 QuixiAI/Llama-3-8B-Instruct-abliterated-v2-gguf # Run inference directly in the terminal: llama cli -hf QuixiAI/Llama-3-8B-Instruct-abliterated-v2-gguf
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf QuixiAI/Llama-3-8B-Instruct-abliterated-v2-gguf # Run inference directly in the terminal: llama cli -hf QuixiAI/Llama-3-8B-Instruct-abliterated-v2-gguf
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 QuixiAI/Llama-3-8B-Instruct-abliterated-v2-gguf # Run inference directly in the terminal: ./llama-cli -hf QuixiAI/Llama-3-8B-Instruct-abliterated-v2-gguf
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 QuixiAI/Llama-3-8B-Instruct-abliterated-v2-gguf # Run inference directly in the terminal: ./build/bin/llama-cli -hf QuixiAI/Llama-3-8B-Instruct-abliterated-v2-gguf
Use Docker
docker model run hf.co/QuixiAI/Llama-3-8B-Instruct-abliterated-v2-gguf
- LM Studio
- Jan
- Ollama
How to use QuixiAI/Llama-3-8B-Instruct-abliterated-v2-gguf with Ollama:
ollama run hf.co/QuixiAI/Llama-3-8B-Instruct-abliterated-v2-gguf
- Unsloth Desktop
- Docker Model Runner
How to use QuixiAI/Llama-3-8B-Instruct-abliterated-v2-gguf with Docker Model Runner:
docker model run hf.co/QuixiAI/Llama-3-8B-Instruct-abliterated-v2-gguf
- Lemonade
How to use QuixiAI/Llama-3-8B-Instruct-abliterated-v2-gguf with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull QuixiAI/Llama-3-8B-Instruct-abliterated-v2-gguf
Run and chat with the model
lemonade run user.Llama-3-8B-Instruct-abliterated-v2-gguf-{{QUANT_TAG}}List all available models
lemonade list
- Atomic Chat
Upload folder using huggingface_hub
Browse files- .gitattributes +6 -0
- Llama-3-8B-Instruct-abliterated-v2.gguf +3 -0
- Llama-3-8B-Instruct-abliterated-v2_q3.gguf +3 -0
- Llama-3-8B-Instruct-abliterated-v2_q4.gguf +3 -0
- Llama-3-8B-Instruct-abliterated-v2_q5.gguf +3 -0
- Llama-3-8B-Instruct-abliterated-v2_q6.gguf +3 -0
- Llama-3-8B-Instruct-abliterated-v2_q8.gguf +3 -0
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