Text Generation
Safetensors
GGUF
English
danai
small-language-model
slm
edge-ai
agentic
tool-calling
reasoning
cot
mobile
quantization
ollama
llama-cpp
4bit
8bit
2bit
conversational
Instructions to use asjadilahi/danAI-55M-Reasoning 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 asjadilahi/danAI-55M-Reasoning 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 asjadilahi/danAI-55M-Reasoning:Q4_K_M # Run inference directly in the terminal: llama cli -hf asjadilahi/danAI-55M-Reasoning:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf asjadilahi/danAI-55M-Reasoning:Q4_K_M # Run inference directly in the terminal: llama cli -hf asjadilahi/danAI-55M-Reasoning: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 asjadilahi/danAI-55M-Reasoning:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf asjadilahi/danAI-55M-Reasoning: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 asjadilahi/danAI-55M-Reasoning:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf asjadilahi/danAI-55M-Reasoning:Q4_K_M
Use Docker
docker model run hf.co/asjadilahi/danAI-55M-Reasoning:Q4_K_M
- LM Studio
- Jan
- vLLM
How to use asjadilahi/danAI-55M-Reasoning with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "asjadilahi/danAI-55M-Reasoning" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "asjadilahi/danAI-55M-Reasoning", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/asjadilahi/danAI-55M-Reasoning:Q4_K_M
- Ollama
How to use asjadilahi/danAI-55M-Reasoning with Ollama:
ollama run hf.co/asjadilahi/danAI-55M-Reasoning:Q4_K_M
- Unsloth Studio
How to use asjadilahi/danAI-55M-Reasoning 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 asjadilahi/danAI-55M-Reasoning 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 asjadilahi/danAI-55M-Reasoning to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for asjadilahi/danAI-55M-Reasoning to start chatting
- Docker Model Runner
How to use asjadilahi/danAI-55M-Reasoning with Docker Model Runner:
docker model run hf.co/asjadilahi/danAI-55M-Reasoning:Q4_K_M
- Lemonade
How to use asjadilahi/danAI-55M-Reasoning with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull asjadilahi/danAI-55M-Reasoning:Q4_K_M
Run and chat with the model
lemonade run user.danAI-55M-Reasoning-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Release multi-bit quantization suite: GGUF (F16, BF16, Q8_0, Q6_K, Q5_K_M, Q4_K_M, Q4_0, Q3_K_M, Q2_K) + PyTorch INT8/INT4/INT2 Safetensors + Ollama Modelfile
8fc2b78 verified | # Official Ollama Modelfile for danAI-55M-Reasoning | |
| FROM ./danAI-55M-Reasoning-Q8_0.gguf | |
| # Model Parameters | |
| PARAMETER temperature 0.2 | |
| PARAMETER top_p 0.9 | |
| PARAMETER top_k 40 | |
| PARAMETER repeat_penalty 1.2 | |
| PARAMETER stop "<|endoftext|>" | |
| PARAMETER stop "<eos>" | |
| PARAMETER stop "User:" | |
| # Official System Prompt | |
| SYSTEM """You are danAI, a helpful, precise, and wise AI assistant with native reasoning and agentic tool-calling capabilities. When solving reasoning or math problems, think step-by-step.""" | |
| # Template | |
| TEMPLATE """{{ if .System }}System: {{ .System }} | |
| {{ end }}{{ range .Messages }}{{ if eq .Role "user" }}User: {{ .Content }} | |
| Assistant: {{ else if eq .Role "assistant" }}{{ .Content }}<|endoftext|>{{ end }}{{ end }}""" | |