Instructions to use chloemeow/flower_model 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 chloemeow/flower_model 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 chloemeow/flower_model:BF16 # Run inference directly in the terminal: llama cli -hf chloemeow/flower_model:BF16
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf chloemeow/flower_model:BF16 # Run inference directly in the terminal: llama cli -hf chloemeow/flower_model:BF16
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 chloemeow/flower_model:BF16 # Run inference directly in the terminal: ./llama-cli -hf chloemeow/flower_model:BF16
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 chloemeow/flower_model:BF16 # Run inference directly in the terminal: ./build/bin/llama-cli -hf chloemeow/flower_model:BF16
Use Docker
docker model run hf.co/chloemeow/flower_model:BF16
- LM Studio
- Jan
- Ollama
How to use chloemeow/flower_model with Ollama:
ollama run hf.co/chloemeow/flower_model:BF16
- Unsloth Studio
How to use chloemeow/flower_model 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 chloemeow/flower_model 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 chloemeow/flower_model to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for chloemeow/flower_model to start chatting
- Docker Model Runner
How to use chloemeow/flower_model with Docker Model Runner:
docker model run hf.co/chloemeow/flower_model:BF16
- Lemonade
How to use chloemeow/flower_model with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull chloemeow/flower_model:BF16
Run and chat with the model
lemonade run user.flower_model-BF16
List all available models
lemonade list
- Atomic Chat
Upload config.json
Browse files- config.json +14 -0
config.json
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{
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"model_type": "llama",
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"architectures": [
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"FastLanguageModel"
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],
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"max_seq_length": 2048,
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"hidden_size": 4096,
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"r": 16,
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"lora_alpha": 16,
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"lora_dropout": 0,
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"use_gradient_checkpointing": true
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}
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