Instructions to use Sweaterdog/Andy-3.6-small 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 Sweaterdog/Andy-3.6-small 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 Sweaterdog/Andy-3.6-small:Q4_K_M # Run inference directly in the terminal: llama cli -hf Sweaterdog/Andy-3.6-small:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Sweaterdog/Andy-3.6-small:Q4_K_M # Run inference directly in the terminal: llama cli -hf Sweaterdog/Andy-3.6-small: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 Sweaterdog/Andy-3.6-small:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama cli -hf Sweaterdog/Andy-3.6-small:Q4_K_M
Use Docker
docker model run hf.co/Sweaterdog/Andy-3.6-small:Q4_K_M
- Llama new
- LM Studio
- Jan
- Ollama
How to use Sweaterdog/Andy-3.6-small with Ollama:
ollama run hf.co/Sweaterdog/Andy-3.6-small:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use Sweaterdog/Andy-3.6-small with Docker Model Runner:
docker model run hf.co/Sweaterdog/Andy-3.6-small:Q4_K_M
- Lemonade
How to use Sweaterdog/Andy-3.6-small with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Sweaterdog/Andy-3.6-small:Q4_K_M
Run and chat with the model
lemonade run user.Andy-3.6-small-Q4_K_M
List all available models
lemonade list
- Atomic Chat
File size: 497 Bytes
42e8349 647faa5 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | 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|>
"""
PARAMETER stop "<|im_start|>"
PARAMETER stop "<|im_end|>"
PARAMETER mirostat 2
PARAMETER mirostat_eta 0.2
PARAMETER mirostat_tau 4.0
PARAMETER num_ctx 32000
PARAMETER repeat_last_n 128
PARAMETER repeat_penalty 1.3
PARAMETER temperature 0.4
PARAMETER top_k 20
PARAMETER top_p 0.7
PARAMETER min_p 0.05 |