AxiomicLabs/GPT-X3-150M
archivedmodel
GPT-X3-150M is a base model for text completion. Dense, 149M params. Context: 8K tokens (config). License: apache-2.0. Vendor-reported: "It ranks #1 on the Open SLM Leaderboard and is the first model under 150M parameters to exceed an Intelligence Index of 30." Vendor-reported: "GPT-X3-150M outperforms Hugging Face's SmolLM2-135M on the Intelligence Index while using about 27× fewer training tokens (75B vs 2T)."
- Vendor-reported: It ranks #1 on the Open SLM Leaderboard and is the first model under 150M parameters to exceed an Intelligence Index of 30.
- Vendor-reported: GPT-X3-150M outperforms Hugging Face's SmolLM2-135M on the Intelligence Index while using about 27× fewer training tokens (75B vs 2T).
- Org
- AxiomicLabs
- Released
- 2026-09-23
- Status
- archived
- License
- apache-2.0 (permissive)
- Parameters
- 149M
- Architecture
- dense · GPTX3ForCausalLM
- Context
- 8,192 tokens
- Task
- text-generation · text
- Signal
- 76 HF likes · 2038 downloads
- Archived
- 2026-10-23 (aged out (older than 30 days); stats as last seen)
Runs on
estimate from params; need = weights + FP16 KV cache for 8K tokens + 1GB. A sizing calculation, not tested.
- Q4 ~1.3 GB (estimated size): no listed device
- Q8 ~1.4 GB (estimated size): no listed device
- FP16 ~1.5 GB (estimated size): 8GB GPU (4060 / 3070), 12GB GPU (RTX 3060), 16GB GPU (5060 Ti / 4060 Ti / 4080 / 5080), 24GB GPU (3090 / 4090), 32GB GPU (5090), 48GB GPU (RTX 6000 Ada / A6000), 96GB GPU (RTX Pro 6000 Blackwell), 1× DGX Spark (128GB), 2× DGX Spark (256GB), 16GB GPU (7800 XT / 9070 XT), 24GB GPU (7900 XTX), Strix Halo 128GB unified (~96GB usable), Arc B60 24GB, Arc B70 32GB, Mac 16GB, Mac 24GB, Mac 36GB, Mac 48GB, Mac 64GB (M1 Max), Mac 96GB, Mac 128GB, Mac 192GB, Mac 256GB, Mac 512GB, CPU only, 32GB RAM (slow), CPU only, 64GB RAM (slow), CPU only, 128GB RAM (slow), CPU only, 256GB RAM (slow)
Links
First published here 2026-09-23 · updated 2026-10-23 · markdown · JSON