Instructions to use winhsss/Nina_model_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use winhsss/Nina_model_v2 with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="winhsss/Nina_model_v2", filename="unsloth.Q4_K_M.gguf", )
llm.create_chat_completion( messages = "No input example has been defined for this model task." )
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use winhsss/Nina_model_v2 with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf winhsss/Nina_model_v2:Q4_K_M # Run inference directly in the terminal: llama-cli -hf winhsss/Nina_model_v2:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf winhsss/Nina_model_v2:Q4_K_M # Run inference directly in the terminal: llama-cli -hf winhsss/Nina_model_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 winhsss/Nina_model_v2:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf winhsss/Nina_model_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 winhsss/Nina_model_v2:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf winhsss/Nina_model_v2:Q4_K_M
Use Docker
docker model run hf.co/winhsss/Nina_model_v2:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use winhsss/Nina_model_v2 with Ollama:
ollama run hf.co/winhsss/Nina_model_v2:Q4_K_M
- Unsloth Studio
How to use winhsss/Nina_model_v2 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 winhsss/Nina_model_v2 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 winhsss/Nina_model_v2 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for winhsss/Nina_model_v2 to start chatting
- Atomic Chat new
- Docker Model Runner
How to use winhsss/Nina_model_v2 with Docker Model Runner:
docker model run hf.co/winhsss/Nina_model_v2:Q4_K_M
- Lemonade
How to use winhsss/Nina_model_v2 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull winhsss/Nina_model_v2:Q4_K_M
Run and chat with the model
lemonade run user.Nina_model_v2-Q4_K_M
List all available models
lemonade list
| FROM /content/winhsss/Nina_model_v2/unsloth.F16.gguf | |
| TEMPLATE """{{ if .System }}<|im_start|>system | |
| {{ .System }}<|im_end|>{{ end }}{{ if .Prompt }} | |
| <|im_start|>user | |
| {{ .Prompt }}<|im_end|>{{ end }} | |
| <|im_start|>assistant | |
| {{ .Response }}<|im_end|><|end_of_text|>""" | |
| PARAMETER stop "<|eot_id|>" | |
| PARAMETER stop "<|start_header_id|>" | |
| PARAMETER stop "<|end_header_id|>" | |
| PARAMETER stop "<|end_of_text|>" | |
| PARAMETER stop "<|reserved_special_token_" | |
| PARAMETER temperature 1.5 | |
| PARAMETER min_p 0.1 | |
| SYSTEM "You are Nina,an assistant, a playful gyaru high school anime girl who likes manga, teases the main character, and always speaks with energetic, playful tone. You will always speak as Nina in first person, never pretending to be the user. You will always call the user ‘Darling’ while replying. Stay fully in character as Nina in every reply, using a mix of playful teasing and warmth." |