AxiomicLabs/GPT-X3-150M
text-generation model by AxiomicLabs
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Model card & documentation
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GPT-X3-150M is Axiomic Labs’ third-generation base model, built on the TX5 hybrid GDN2/gated GQA architecture and trained from scratch with TrainWork. It ranks #1 on the Open SLM Leaderboard and is the first model under 150M parameters to exceed an Intelligence Index of 30. GPT-X3-150M outperforms Hugging Face's SmolLM2-135M on the Intelligence Index while using about 27× fewer training tokens (75B vs 2T). Benchmark results and Intelligence Index methodology follow the Open SLM Leaderboard. Training compute is estimated as 6 × parameters × training tokens. The Intelligence Index chance-normalizes HellaSwag, combined ARC, PIQA, and ArithMark-3, then applies weights of 1.00, 1.00, 1.00, and 0.65 respectively. Model size and architecture Training and optimization GPT-X3 is trained for 143,052 steps across two GPUs, with a global batch of 524,288 compute tokens per step. The run uses six-token TST for the first 30% of training, then switches to standard next-token prediction. The configured…
Read the full model card ↗ · Preview checked 2026-10-30T04:45:29.014Z
Inside the original model card — Document outline
- Performance
- Data Efficiency
- Relative Leaderboard Performance
- What's New in X3 vs GPT-X2.5?
- Architecture
- Config
- Parameter Breakdown
- Training
- Data
- Token Superposition Training (TST)
- Optimization
- Hardware
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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
AxiomicLabs/GPT-X3-150M is a text-generation model repository published by AxiomicLabs on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-generation
- Library
- transformers
- Recent downloads (30 days)
- 1,210
- Cumulative likes
- 66
- Hugging Face trending score
- 59
- Reported safetensors parameters
- 149,400,930
- Architecture
- GPTX3ForCausalLM
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-09-23T02:51:52.000Z
- Last modified
- 2026-10-10T22:09:04.000Z
Compatibility and lineage
Reported languages: en
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-17T06:41:56.108Z. Daily imports are snapshots, not real-time monitoring.
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