Instructions to use Nasaawakening/Zoder2.0-1B 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 Nasaawakening/Zoder2.0-1B 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 Nasaawakening/Zoder2.0-1B:Q4_K_M # Run inference directly in the terminal: llama cli -hf Nasaawakening/Zoder2.0-1B:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Nasaawakening/Zoder2.0-1B:Q4_K_M # Run inference directly in the terminal: llama cli -hf Nasaawakening/Zoder2.0-1B: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 Nasaawakening/Zoder2.0-1B:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf Nasaawakening/Zoder2.0-1B: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 Nasaawakening/Zoder2.0-1B:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf Nasaawakening/Zoder2.0-1B:Q4_K_M
Use Docker
docker model run hf.co/Nasaawakening/Zoder2.0-1B:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use Nasaawakening/Zoder2.0-1B with Ollama:
ollama run hf.co/Nasaawakening/Zoder2.0-1B:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use Nasaawakening/Zoder2.0-1B with Docker Model Runner:
docker model run hf.co/Nasaawakening/Zoder2.0-1B:Q4_K_M
- Lemonade
How to use Nasaawakening/Zoder2.0-1B with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Nasaawakening/Zoder2.0-1B:Q4_K_M
Run and chat with the model
lemonade run user.Zoder2.0-1B-Q4_K_M
List all available models
lemonade list
- Atomic Chat
metadata
license: apache-2.0
tags:
- mergekit
- ties
- slerp
- minicpm
- zoder
- gguf
base_model:
- openbmb/MiniCPM5-1B
- GnLOLot/MiniCPM5-1B-Claude-Opus-Fable5-V2-Thinking
- GnLOLot/MiniCPM5-1B-Claude-Opus-Fable5-Thinking
- Nasaawakening/Zoder1.0-1B
𧬠Zoder 2.0-1B (REFINED)
Two-phase refinement: TIES ensemble + SLERP pullback toward the proven Zoder 1.0-1B lineage, with auto-tuned interpolation.
Merge Architecture
openbmb/MiniCPM5-1B
βββ V2 (w0.8, d0.9) ββ
ββ V1 (w0.2, d0.6) ββ€ TIES β Phase-1
β
Zoder1.0-1B βββ SLERP(t=0.2) βββ Phase-1 β ZODER 2.0-1B REFINED
Auto-Tune Sweep Results
| t | DNA 1.0 | Quick Score |
|---|---|---|
| 0.2 | 80% | 4/4 |
| 0.3 | 70% | 4/4 |
| 0.4 | 60% | 4/4 |
Selected t: 0.2 (DNA Zoder 1.0: 80%)
Full Benchmark
| Test | Status |
|---|---|
| Basic Conversation | β PASS |
| Logical Reasoning | β PASS |
| Code Generation | β PASS |
| Creative Writing | β PASS |
| Instruction Following | β WEAK |
| Multi-turn Memory | β WEAK |
| Math Problem | β PASS |
| Termux Knowledge | β PASS |
Score: 6/8 (75%) | Baseline Zoder 1.0-1B: 8/8 (100%)
GGUF Quants
| Quant | Size | Recommended For |
|---|---|---|
| Q2_K | 463.3 MB | 1-2GB RAM (fastest) |
| Q3_K_M | 555.9 MB | 2-3GB RAM |
| Q4_K_M | 656.2 MB | Mobile/Termux 4GB+ (sweet spot) |
| Q5_K_M | 664.1 MB | 8GB+ RAM |
| Q6_K | 671.5 MB | 12GB+ RAM |
| Q8_0 | 664.6 MB | 16GB+ RAM (max quality) |
Identity
- Name: Zoder
- Model: Zoder2.0-1B