AutomatosX/AX-Hy-MT2-30B-A3B-MLX-AXQ-6bit

text-generation model by AutomatosX

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Model card & documentation

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Research development artifact. Base affine6 packing with higher-precision protection, not MXFP6 or uniformly six-bit storage. No quality certificate is issued. The precision distribution and exact per-module settings are recorded in axquantmanifest.json, axquantplan.json, and config.json. Complete BPW includes protected tensors and storage overhead. File size does not establish peak runtime memory requirements. Converted from the pinned original source with existing precision protection floors. The exact runtime payload passed the following scoped check on Metal. The receipt binds its runtime input files. This is a functional smoke, not a quality benchmark, MTEB evaluation, coding evaluation, long-context test or MTP acceleration result. Unexercised modalities and MTP behavior remain unverified. Peer runtime-specific exports require distinct…

AutomatosX/AX-Hy-MT2-30B-A3B-MLX-AXQ-6bit on Hugging Face A short preview, not the full document.

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  1. AX-Hy-MT2-30B-A3B-MLX-AXQ-6bit
  2. Observed runtime evidence
  3. Use and provenance

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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

AutomatosX/AX-Hy-MT2-30B-A3B-MLX-AXQ-6bit is a text-generation model repository published by AutomatosX on Hugging Face. The source reports the mlx 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
mlx
Recent downloads (30 days)
0
Cumulative likes
0
Hugging Face trending score
0
Reported safetensors parameters
30,064,719,872
Architecture
HYV3ForCausalLM
License
apache-2.0
Access
Not gated by Hugging Face
Created
2026-10-24T06:29:09.000Z
Last modified
2026-10-24T06:30:52.000Z

Compatibility and lineage

Language coverage was not reported.

Reported base models: tencent/Hy-MT2-30B-A3B

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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Model card and usage instructions

Model files and configuration

Community discussion

Source and freshness

Source: Hugging Face Hub. Metadata observed 2026-10-24T06:46:27.670Z. Daily imports are snapshots, not real-time monitoring.

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