0x795E2795/Basalt-Alpha-24B-A3.8B-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.
Basalt Alpha is an experimental 24B-class sparse Mixture-of-Experts language model with approximately 3.8B active parameters per token, released as a W4A16 QAT checkpoint. It is designed as a reduced-footprint sibling to Graphite Alpha 26B-A4B, targeting lower model size and compute requirements while retaining the same general model family and deployment characteristics. This release is intended for early testing, inference compatibility testing, independent evaluation, efficiency testing, and community feedback. 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. Basalt Alpha reduces both total and active parameter counts relative to Graphite Alpha: The purpose of this reduction is to provide a lighter deployment target rather than…
Read the full model card ↗ · Preview checked 2026-09-26T06:37:47.537Z
Inside the original model card — Document outline
- Basalt Alpha 24B-A3.8B
- Model Overview
- Quantization
- Context
- Recommended Generation Settings
- Usage
- Graphite and Basalt
- Benchmarks
- Alpha Testing
- Known Limitations
- Intended Use
- License
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Documentation belongs to its respective authors. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
0x795E2795/Basalt-Alpha-24B-A3.8B-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
- 25,561,619,686
- Architecture
- Gemma4ForConditionalGeneration
- License
- Not reported — check the model card
- Access
- Not gated by Hugging Face
- Created
- 2026-09-26T06:29:08.000Z
- Last modified
- 2026-09-26T06:31:49.000Z
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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