How to use from
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:
# Run inference directly in the terminal:
llama cli -hf Nasaawakening/Zoder2.0-1B:
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:
# Run inference directly in the terminal:
llama cli -hf Nasaawakening/Zoder2.0-1B:
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:
# Run inference directly in the terminal:
./llama-cli -hf Nasaawakening/Zoder2.0-1B:
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:
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Nasaawakening/Zoder2.0-1B:
Use Docker
docker model run hf.co/Nasaawakening/Zoder2.0-1B:
Quick Links

🧬 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
   β”œβ”€β”€ V2 (w0.8, d0.9) ─┐
   ── V1 (w0.2, d0.6) ──  TIES  β†’  Phase-1
                        β”‚
Zoder1.0-1B ─── SLERP(t=0.2) ─── 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 βœ… PASS
Logical Reasoning βœ… PASS
Code Generation βœ… PASS
Creative Writing βœ… PASS
Instruction Following ❌ WEAK
Multi-turn Memory ❌ WEAK
Math Problem βœ… PASS
Termux Knowledge βœ… 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
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