Instructions to use maxymoo2/NTKT2_gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use maxymoo2/NTKT2_gguf with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("maxymoo2/NTKT2_gguf", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use maxymoo2/NTKT2_gguf 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 maxymoo2/NTKT2_gguf:Q4_K_M # Run inference directly in the terminal: llama cli -hf maxymoo2/NTKT2_gguf:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf maxymoo2/NTKT2_gguf:Q4_K_M # Run inference directly in the terminal: llama cli -hf maxymoo2/NTKT2_gguf:Q4_K_M
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf maxymoo2/NTKT2_gguf:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama cli -hf maxymoo2/NTKT2_gguf:Q4_K_M
Use Docker
docker model run hf.co/maxymoo2/NTKT2_gguf:Q4_K_M
- Llama new
- LM Studio
- Jan
- Ollama
How to use maxymoo2/NTKT2_gguf with Ollama:
ollama run hf.co/maxymoo2/NTKT2_gguf:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use maxymoo2/NTKT2_gguf with Docker Model Runner:
docker model run hf.co/maxymoo2/NTKT2_gguf:Q4_K_M
- Lemonade
How to use maxymoo2/NTKT2_gguf with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull maxymoo2/NTKT2_gguf:Q4_K_M
Run and chat with the model
lemonade run user.NTKT2_gguf-Q4_K_M
List all available models
lemonade list
- Atomic Chat
File size: 553 Bytes
da3e97d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | FROM unsloth.Q4_K_M.gguf
TEMPLATE """{{ if .Raw }}{{ .Raw }}{{ else }}### Instruction:
Given the interaction history of this user predict what response they will give to the following Multiple Choice Question out of option A, B, C or D.
### Input
History:
{{ .History }}
### Next Question:
{{ .Question }}
Options:
A. {{ .OptionA }}
B. {{ .OptionB }}
C. {{ .OptionC }}
D. {{ .OptionD }}
### Response - Predict the students response from A, B, C, D{{ end }}"""
PARAMETER stop "### Instruction:"
PARAMETER stop "### Response"
PARAMETER temperature 0.7
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