dbrx-16x12b-instruct-gguf
Collection
GGUF quantum models for DBRX:
https://github.com/ggerganov/llama.cpp โข 6 items โข Updated โข 1
How to use phymbert/dbrx-16x12b-instruct-iq3_xxs-gguf with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="phymbert/dbrx-16x12b-instruct-iq3_xxs-gguf", filename="dbrx-16x12b-instruct-iq3_xxs-00001-of-00010.gguf", )
llm.create_chat_completion( messages = "No input example has been defined for this model task." )
How to use phymbert/dbrx-16x12b-instruct-iq3_xxs-gguf with llama.cpp:
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf phymbert/dbrx-16x12b-instruct-iq3_xxs-gguf:IQ3_XXS # Run inference directly in the terminal: llama cli -hf phymbert/dbrx-16x12b-instruct-iq3_xxs-gguf:IQ3_XXS
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf phymbert/dbrx-16x12b-instruct-iq3_xxs-gguf:IQ3_XXS # Run inference directly in the terminal: llama cli -hf phymbert/dbrx-16x12b-instruct-iq3_xxs-gguf:IQ3_XXS
# 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 phymbert/dbrx-16x12b-instruct-iq3_xxs-gguf:IQ3_XXS # Run inference directly in the terminal: ./llama-cli -hf phymbert/dbrx-16x12b-instruct-iq3_xxs-gguf:IQ3_XXS
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 phymbert/dbrx-16x12b-instruct-iq3_xxs-gguf:IQ3_XXS # Run inference directly in the terminal: ./build/bin/llama-cli -hf phymbert/dbrx-16x12b-instruct-iq3_xxs-gguf:IQ3_XXS
docker model run hf.co/phymbert/dbrx-16x12b-instruct-iq3_xxs-gguf:IQ3_XXS
How to use phymbert/dbrx-16x12b-instruct-iq3_xxs-gguf with Ollama:
ollama run hf.co/phymbert/dbrx-16x12b-instruct-iq3_xxs-gguf:IQ3_XXS
How to use phymbert/dbrx-16x12b-instruct-iq3_xxs-gguf with Unsloth Studio:
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 phymbert/dbrx-16x12b-instruct-iq3_xxs-gguf to start chatting
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 phymbert/dbrx-16x12b-instruct-iq3_xxs-gguf to start chatting
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for phymbert/dbrx-16x12b-instruct-iq3_xxs-gguf to start chatting
How to use phymbert/dbrx-16x12b-instruct-iq3_xxs-gguf with Docker Model Runner:
docker model run hf.co/phymbert/dbrx-16x12b-instruct-iq3_xxs-gguf:IQ3_XXS
How to use phymbert/dbrx-16x12b-instruct-iq3_xxs-gguf with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull phymbert/dbrx-16x12b-instruct-iq3_xxs-gguf:IQ3_XXS
lemonade run user.dbrx-16x12b-instruct-iq3_xxs-gguf-IQ3_XXS
lemonade list
This is the iq3_xxs quantum model for llama.cpp:
3-bit