Gemma 3 4B IT (GGUF, Q4_K_M)
Production-ready GGUF quantization of google/gemma-3-4b-it for distributed text generation and conversation — powered by the Aether edge inference runtime.
Highlights
- 4B parameters — Google Gemma 3 mid-range instruction-tuned. Strong reasoning with efficient architecture and tied embeddings.
- ~2.4 GB Q4_K_M quantized — optimized for distributed edge inference
- Gemma3 architecture — proven, stable, well-tested
- Aether runtime compatible — layer-sharded across distributed nodes via Edgework.ai
Model Details
| Property | Value |
|---|---|
| Base model | google/gemma-3-4b-it |
| Parameters | 4B |
| Architecture | Gemma3 |
| Quantization | Q4_K_M |
| Format | GGUF |
| Size | ~2.4 GB |
| License | gemma |
Usage
With llama.cpp
./llama-cli -m gemma-3-4b-it-q4_k_m.gguf -p "Your prompt here" -n 256
With Aether (Distributed Inference)
This model is deployed across the Aether distributed inference network. Weights are layer-sharded and distributed across multiple edge nodes for parallel inference.
Deployment Architecture
This model runs on the Aether distributed inference runtime — our custom engine that shards model layers across multiple nodes for parallel execution:
- Coordinator receives requests and manages token generation
- Layer nodes each hold a subset of model layers
- Hidden states flow between nodes via gRPC
- Zero cold start via warm pool scheduling
Deployed via Edgework.ai — bringing fast, cheap, and private inference as close to the user as possible.
About
Published by AFFECTIVELY · Managed by @buley
We quantize and publish production-ready models for distributed edge inference via the Aether runtime. Every release is tested for correctness and stability before publication.