0x795E2795/Graphite-Alpha-26B-A4B-it-qat-w4a16-ct
text-generation model by 0x795E2795
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.
Graphite Alpha is an experimental 26B-class sparse Mixture-of-Experts language model with approximately 4B active parameters per token, released as a W4A16 QAT checkpoint. This release is intended for early testing, inference compatibility testing, independent evaluation, and community feedback. Graphite Alpha is the larger member of the current Alpha pair. A reduced-footprint sibling, Basalt Alpha 24B-A3.8B, is also available for environments where lower memory usage and compute requirements are preferred. Parameter counts reported by individual libraries or model hosting platforms may differ slightly depending on whether embeddings, auxiliary parameters, routing components, and other tensors are included in the total. The active parameter count is approximate and refers to the portion of the model typically involved in computation for a token under its sparse routing configuration. Graphite Alpha is released as a Quantization-Aware Trained (QAT) model rather than a conventional post-training quantized checkpoint. The weights use symmetric 4-bit group quantization with a…
Read the full model card ↗ · Preview checked 2026-09-26T07:04:44.626Z
Inside the original model card — Document outline
- Graphite Alpha 26B-A4B
- Model Overview
- Quantization
- Context
- Recommended Generation Settings
- Usage
- Benchmarks
- Alpha Testing
- Known Limitations
- Intended Use
- License
- Disclaimer
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Model overview
0x795E2795/Graphite-Alpha-26B-A4B-it-qat-w4a16-ct is a text-generation model repository published by 0x795E2795 on Hugging Face. A library was not reported.
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
- Not reported
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 27,898,336,846
- Architecture
- Gemma4ForConditionalGeneration
- License
- Not reported — check the model card
- Access
- Not gated by Hugging Face
- Created
- 2026-09-26T06:33:32.000Z
- Last modified
- 2026-09-26T06:35:27.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: google/gemma-4-26B-A4B
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 2026-09-26T06:37:45.751Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
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