Instructions to use acidsound/Bllossom-Q4_K_M-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use acidsound/Bllossom-Q4_K_M-GGUF with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("acidsound/Bllossom-Q4_K_M-GGUF", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use acidsound/Bllossom-Q4_K_M-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 acidsound/Bllossom-Q4_K_M-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf acidsound/Bllossom-Q4_K_M-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 acidsound/Bllossom-Q4_K_M-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf acidsound/Bllossom-Q4_K_M-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 acidsound/Bllossom-Q4_K_M-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf acidsound/Bllossom-Q4_K_M-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 acidsound/Bllossom-Q4_K_M-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf acidsound/Bllossom-Q4_K_M-GGUF:Q4_K_M
Use Docker
docker model run hf.co/acidsound/Bllossom-Q4_K_M-GGUF:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use acidsound/Bllossom-Q4_K_M-GGUF with Ollama:
ollama run hf.co/acidsound/Bllossom-Q4_K_M-GGUF:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use acidsound/Bllossom-Q4_K_M-GGUF with Docker Model Runner:
docker model run hf.co/acidsound/Bllossom-Q4_K_M-GGUF:Q4_K_M
- Lemonade
How to use acidsound/Bllossom-Q4_K_M-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull acidsound/Bllossom-Q4_K_M-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.Bllossom-Q4_K_M-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
acidsound/Bllossom-Q4_K_M-GGUF
This model was converted to GGUF format from MLP-KTLim/Bllossom using llama.cpp via the ggml.ai's GGUF-my-repo space.
Refer to the original model card for more details on the model.
Use with llama.cpp
Install llama.cpp through brew.
brew install ggerganov/ggerganov/llama.cpp
Invoke the llama.cpp server or the CLI.
CLI:
llama-cli --hf-repo acidsound/Bllossom-Q4_K_M-GGUF --model bllossom.Q4_K_M.gguf -p "The meaning to life and the universe is"
Server:
llama-server --hf-repo acidsound/Bllossom-Q4_K_M-GGUF --model bllossom.Q4_K_M.gguf -c 2048
Note: You can also use this checkpoint directly through the usage steps listed in the Llama.cpp repo as well.
git clone https://github.com/ggerganov/llama.cpp && cd llama.cpp && make && ./main -m bllossom.Q4_K_M.gguf -n 128
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