Instructions to use nlop/nova 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 nlop/nova 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 nlop/nova:Q4_0 # Run inference directly in the terminal: llama cli -hf nlop/nova:Q4_0
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf nlop/nova:Q4_0 # Run inference directly in the terminal: llama cli -hf nlop/nova:Q4_0
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 nlop/nova:Q4_0 # Run inference directly in the terminal: ./llama-cli -hf nlop/nova:Q4_0
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 nlop/nova:Q4_0 # Run inference directly in the terminal: ./build/bin/llama-cli -hf nlop/nova:Q4_0
Use Docker
docker model run hf.co/nlop/nova:Q4_0
- LM Studio
- Jan
- vLLM
How to use nlop/nova with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "nlop/nova" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "nlop/nova", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/nlop/nova:Q4_0
- Ollama
How to use nlop/nova with Ollama:
ollama run hf.co/nlop/nova:Q4_0
- Unsloth Studio
How to use nlop/nova 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 nlop/nova 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 nlop/nova to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for nlop/nova to start chatting
- Docker Model Runner
How to use nlop/nova with Docker Model Runner:
docker model run hf.co/nlop/nova:Q4_0
- Lemonade
How to use nlop/nova with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull nlop/nova:Q4_0
Run and chat with the model
lemonade run user.nova-Q4_0
List all available models
lemonade list
- Atomic Chat
File size: 726 Bytes
51d91e0 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 | {
"_name_or_path": "/mnt/petrelfs/libo1.p/alignment-handbook/data/tinyllama-2T-sft-full",
"architectures": [
"LlamaForCausalLM"
],
"attention_bias": false,
"bos_token_id": 1,
"eos_token_id": 2,
"hidden_act": "silu",
"hidden_size": 2048,
"initializer_range": 0.02,
"intermediate_size": 5632,
"max_position_embeddings": 2048,
"model_type": "llama",
"num_attention_heads": 32,
"num_hidden_layers": 22,
"num_key_value_heads": 4,
"pretraining_tp": 1,
"rms_norm_eps": 1e-05,
"rope_scaling": null,
"rope_theta": 10000.0,
"tie_word_embeddings": false,
"torch_dtype": "bfloat16",
"transformers_version": "4.35.0",
"use_cache": false,
"vocab_size": 32000
}
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