inference-optimization/gpt-oss-1.5B-A1.4B-small
text-generation model by inference-optimization
Older snapshot: check the original source for current information.
From the publisher
Model card & documentation
Source previewRead the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.
This is a small version of unsloth/gpt-oss-20b-BF16 created for testing and development. It keeps all hidden dimensions and hyperparameters of the base model identical, reducing only the number of layers, the layer-type layout, and the number of MoE experts, so it exercises the same architecture (gpt-oss MoE with alternating sliding/full attention, attention sinks, YaRN rope, tanh-limited SwiGLU experts with grouped per-expert tensor storage) at a fraction of the size. Only the three allowed categories of changes were made (layer counts, layer-type layout, expert count); every other hyperparameter is identical to the base: The 2 layers are the minimal set covering every distinct attention layer type (slidingattention with slidingwindow 128, fullattention), mirroring the base's alternating pattern; all base layers are MoE. 6 experts >= numexpertspertok 4 (topk+2 for non-degenerate routing). Everything else — hidden size 2880, intermediate size 2880, vocab 201088, 64 Q heads / 8 KV heads / headdim 64,…
Read the full model card ↗ · Preview checked 2026-10-29T05:44:51.097Z
Inside the original model card — Document outline
- gpt-oss-1.5B-A1.4B-small
- Model Details
- Configuration Changes
- Checkpoint Structure
- Usage
- Creation Process
- Validation
- Notes
Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.
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
inference-optimization/gpt-oss-1.5B-A1.4B-small is a text-generation model repository published by inference-optimization 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)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 1,510,118,220
- Architecture
- GptOssForCausalLM
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-10-20T06:37:07.000Z
- Last modified
- 2026-10-20T06:37:21.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: unsloth/gpt-oss-20b-BF16
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
Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.
No model weights are downloaded or executed by AltAPIs. Never enable remote model code without reviewing it.
Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-20T06:43:37.702Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.