Instructions to use alirezashirmarz/NICoLE-LLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use alirezashirmarz/NICoLE-LLM with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="alirezashirmarz/NICoLE-LLM", filename="nicole-f16.gguf", )
output = llm( "Once upon a time,", max_tokens=512, echo=True ) print(output)
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use alirezashirmarz/NICoLE-LLM with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf alirezashirmarz/NICoLE-LLM:F16 # Run inference directly in the terminal: llama-cli -hf alirezashirmarz/NICoLE-LLM:F16
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf alirezashirmarz/NICoLE-LLM:F16 # Run inference directly in the terminal: llama-cli -hf alirezashirmarz/NICoLE-LLM:F16
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 alirezashirmarz/NICoLE-LLM:F16 # Run inference directly in the terminal: ./llama-cli -hf alirezashirmarz/NICoLE-LLM:F16
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 alirezashirmarz/NICoLE-LLM:F16 # Run inference directly in the terminal: ./build/bin/llama-cli -hf alirezashirmarz/NICoLE-LLM:F16
Use Docker
docker model run hf.co/alirezashirmarz/NICoLE-LLM:F16
- LM Studio
- Jan
- Ollama
How to use alirezashirmarz/NICoLE-LLM with Ollama:
ollama run hf.co/alirezashirmarz/NICoLE-LLM:F16
- Unsloth Studio
How to use alirezashirmarz/NICoLE-LLM 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 alirezashirmarz/NICoLE-LLM 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 alirezashirmarz/NICoLE-LLM to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for alirezashirmarz/NICoLE-LLM to start chatting
- Docker Model Runner
How to use alirezashirmarz/NICoLE-LLM with Docker Model Runner:
docker model run hf.co/alirezashirmarz/NICoLE-LLM:F16
- Lemonade
How to use alirezashirmarz/NICoLE-LLM with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull alirezashirmarz/NICoLE-LLM:F16
Run and chat with the model
lemonade run user.NICoLE-LLM-F16
List all available models
lemonade list
File size: 1,141 Bytes
912fadb | 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 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 | {
"add_bos_token": true,
"add_eos_token": false,
"add_prefix_space": null,
"added_tokens_decoder": {
"0": {
"content": "<unk>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"1": {
"content": "<s>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"2": {
"content": "</s>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
}
},
"bos_token": "<s>",
"clean_up_tokenization_spaces": false,
"eos_token": "</s>",
"extra_special_tokens": {},
"legacy": false,
"max_length": 64,
"model_max_length": 1000000000000000019884624838656,
"pad_to_multiple_of": null,
"pad_token": "</s>",
"pad_token_type_id": 0,
"padding_side": "right",
"sp_model_kwargs": {},
"stride": 0,
"tokenizer_class": "LlamaTokenizer",
"truncation_side": "right",
"truncation_strategy": "longest_first",
"unk_token": "<unk>",
"use_default_system_prompt": false
}
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