Instructions to use winhsss/Nina_model_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 winhsss/Nina_model_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 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 serve -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
- Llama new
- 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 Desktop
- 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
- Atomic Chat
Download Modelfile from winhsss/Nina_model_v2: direct link, hf CLI and curl.
- Browser
- Download file 886 Bytes
-
https://huggingface.co/winhsss/Nina_model_v2/resolve/main/Modelfile
- Command line
-
hf download hf://winhsss/Nina_model_v2/Modelfile
-
curl -L -o Modelfile https://huggingface.co/winhsss/Nina_model_v2/resolve/main/Modelfile
886 Bytes
| 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." |