Instructions to use tampakwill/AWA-40M-Micro-LLM-GGUF 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 tampakwill/AWA-40M-Micro-LLM-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 tampakwill/AWA-40M-Micro-LLM-GGUF:F32 # Run inference directly in the terminal: llama cli -hf tampakwill/AWA-40M-Micro-LLM-GGUF:F32
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf tampakwill/AWA-40M-Micro-LLM-GGUF:F32 # Run inference directly in the terminal: llama cli -hf tampakwill/AWA-40M-Micro-LLM-GGUF:F32
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 tampakwill/AWA-40M-Micro-LLM-GGUF:F32 # Run inference directly in the terminal: ./llama-cli -hf tampakwill/AWA-40M-Micro-LLM-GGUF:F32
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 tampakwill/AWA-40M-Micro-LLM-GGUF:F32 # Run inference directly in the terminal: ./build/bin/llama-cli -hf tampakwill/AWA-40M-Micro-LLM-GGUF:F32
Use Docker
docker model run hf.co/tampakwill/AWA-40M-Micro-LLM-GGUF:F32
- LM Studio
- Jan
- Ollama
How to use tampakwill/AWA-40M-Micro-LLM-GGUF with Ollama:
ollama run hf.co/tampakwill/AWA-40M-Micro-LLM-GGUF:F32
- Unsloth Desktop
- Docker Model Runner
How to use tampakwill/AWA-40M-Micro-LLM-GGUF with Docker Model Runner:
docker model run hf.co/tampakwill/AWA-40M-Micro-LLM-GGUF:F32
- Lemonade
How to use tampakwill/AWA-40M-Micro-LLM-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull tampakwill/AWA-40M-Micro-LLM-GGUF:F32
Run and chat with the model
lemonade run user.AWA-40M-Micro-LLM-GGUF-F32
List all available models
lemonade list
- Atomic Chat
๐ AWA-40M (Ahmad Wildan Ardiansyah) - Version 2 (Full Daging)
AWA adalah model bahasa Micro-LLM eksperimental yang merepresentasikan versi AI dari Ahmad Wildan Ardiansyah. Setelah melalui proses training yang intens, model ini sekarang telah mencapai titik kematangan di 33 Epoch.
๐ง Update Terbaru (V2):
- Training Duration: 33 Epochs (Full Cycle Completed) โ
- Optimization: Improved logic for Science, Philosophy, and Nusantara culture.
- Format: GGUF (FP32) for maximum compatibility.
๐ Spesifikasi Model:
- Arsitektur: GPT-2 (Custom Configuration)
- Parameter: ~40-42 Million
- Layers: 12
- Attention Heads: 8
- Embedding Dim: 512
- Context Length: 1024 tokens
- Training Status: Phase 2 (33 Epochs) - STABLE
๐ฎ๐ฉ Karakteristik Dataset:
AWA dilatih menggunakan dataset yang dikurasi langsung oleh Ahmad Wildan Ardiansyah, mencakup:
- Sains & Teknologi: Relativitas, CRISPR, IT/CS, Entropi.
- Ekonomi & Geopolitik: Ekonometrika, Teori Game.
- Filsafat & Psikologi: Fenomenologi, Eksistensialisme, Logika Formal.
- Kekayaan Nusantara: Sejarah Majapahit, Sriwijaya, dan Kearifan Lokal.
โ๏ธ Cara Pakai (Format GGUF):
Gunakan file AWA-40M-Daging-V2-F32.gguf di aplikasi favorit Bos:
- LM Studio
- GPT4All
- Layla/Maid (Android/iOS)
Dibuat dengan visi dan semangat oleh Ahmad Wildan Ardiansyah! ๐ฅ
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