Instructions to use Jay1121/blossom_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use Jay1121/blossom_v2 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 Jay1121/blossom_v2:Q4_K_M # Run inference directly in the terminal: llama cli -hf Jay1121/blossom_v2:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Jay1121/blossom_v2:Q4_K_M # Run inference directly in the terminal: llama cli -hf Jay1121/blossom_v2: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 Jay1121/blossom_v2:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf Jay1121/blossom_v2: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 Jay1121/blossom_v2:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf Jay1121/blossom_v2:Q4_K_M
Use Docker
docker model run hf.co/Jay1121/blossom_v2:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use Jay1121/blossom_v2 with Ollama:
ollama run hf.co/Jay1121/blossom_v2:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use Jay1121/blossom_v2 with Docker Model Runner:
docker model run hf.co/Jay1121/blossom_v2:Q4_K_M
- Lemonade
How to use Jay1121/blossom_v2 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Jay1121/blossom_v2:Q4_K_M
Run and chat with the model
lemonade run user.blossom_v2-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Download tokenizer.json from Jay1121/blossom_v2: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/Jay1121/blossom_v2/resolve/main/tokenizer.json
- Command line
-
hf download hf://Jay1121/blossom_v2/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Jay1121/blossom_v2/resolve/main/tokenizer.json
17.2 MB
- Xet hash:
- 3f8ab02ab5ba981c86390c96097b4e7fab72a611608e8506b21678ceb431634f
- Size of remote file:
- 17.2 MB
- SHA256:
- 2539802b4016767e5475c0fa774895f4c33683f7c2ed9df643a61279e9ef1bd2
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