Instructions to use failspy/llama-3-70B-Instruct-abliterated-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use failspy/llama-3-70B-Instruct-abliterated-GGUF with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("failspy/llama-3-70B-Instruct-abliterated-GGUF", dtype="auto") - llama-cpp-python
How to use failspy/llama-3-70B-Instruct-abliterated-GGUF with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="failspy/llama-3-70B-Instruct-abliterated-GGUF", filename="llama-3-70B-Instruct-abliterated-fp16-00001-of-00017.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 failspy/llama-3-70B-Instruct-abliterated-GGUF with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf failspy/llama-3-70B-Instruct-abliterated-GGUF:Q4_K_M # Run inference directly in the terminal: llama-cli -hf failspy/llama-3-70B-Instruct-abliterated-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 failspy/llama-3-70B-Instruct-abliterated-GGUF:Q4_K_M # Run inference directly in the terminal: llama-cli -hf failspy/llama-3-70B-Instruct-abliterated-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 failspy/llama-3-70B-Instruct-abliterated-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf failspy/llama-3-70B-Instruct-abliterated-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 failspy/llama-3-70B-Instruct-abliterated-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf failspy/llama-3-70B-Instruct-abliterated-GGUF:Q4_K_M
Use Docker
docker model run hf.co/failspy/llama-3-70B-Instruct-abliterated-GGUF:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use failspy/llama-3-70B-Instruct-abliterated-GGUF with Ollama:
ollama run hf.co/failspy/llama-3-70B-Instruct-abliterated-GGUF:Q4_K_M
- Unsloth Studio
How to use failspy/llama-3-70B-Instruct-abliterated-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 failspy/llama-3-70B-Instruct-abliterated-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 failspy/llama-3-70B-Instruct-abliterated-GGUF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for failspy/llama-3-70B-Instruct-abliterated-GGUF to start chatting
- Atomic Chat new
- Docker Model Runner
How to use failspy/llama-3-70B-Instruct-abliterated-GGUF with Docker Model Runner:
docker model run hf.co/failspy/llama-3-70B-Instruct-abliterated-GGUF:Q4_K_M
- Lemonade
How to use failspy/llama-3-70B-Instruct-abliterated-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull failspy/llama-3-70B-Instruct-abliterated-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.llama-3-70B-Instruct-abliterated-GGUF-Q4_K_M
List all available models
lemonade list
Upload folder using huggingface_hub
Browse files- .gitattributes +17 -0
- llama-3-70B-Instruct-abliterated-GGUF-fp16-00001-of-00017.gguf +3 -0
- llama-3-70B-Instruct-abliterated-GGUF-fp16-00002-of-00017.gguf +3 -0
- llama-3-70B-Instruct-abliterated-GGUF-fp16-00003-of-00017.gguf +3 -0
- llama-3-70B-Instruct-abliterated-GGUF-fp16-00004-of-00017.gguf +3 -0
- llama-3-70B-Instruct-abliterated-GGUF-fp16-00005-of-00017.gguf +3 -0
- llama-3-70B-Instruct-abliterated-GGUF-fp16-00006-of-00017.gguf +3 -0
- llama-3-70B-Instruct-abliterated-GGUF-fp16-00007-of-00017.gguf +3 -0
- llama-3-70B-Instruct-abliterated-GGUF-fp16-00008-of-00017.gguf +3 -0
- llama-3-70B-Instruct-abliterated-GGUF-fp16-00009-of-00017.gguf +3 -0
- llama-3-70B-Instruct-abliterated-GGUF-fp16-00010-of-00017.gguf +3 -0
- llama-3-70B-Instruct-abliterated-GGUF-fp16-00011-of-00017.gguf +3 -0
- llama-3-70B-Instruct-abliterated-GGUF-fp16-00012-of-00017.gguf +3 -0
- llama-3-70B-Instruct-abliterated-GGUF-fp16-00013-of-00017.gguf +3 -0
- llama-3-70B-Instruct-abliterated-GGUF-fp16-00014-of-00017.gguf +3 -0
- llama-3-70B-Instruct-abliterated-GGUF-fp16-00015-of-00017.gguf +3 -0
- llama-3-70B-Instruct-abliterated-GGUF-fp16-00016-of-00017.gguf +3 -0
- llama-3-70B-Instruct-abliterated-GGUF-fp16-00017-of-00017.gguf +3 -0
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