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AutomatosX/AX-Nemotron-3-Embed-8B-MLX-AXQ-6bit
AX-Nemotron-3-Embed-8B-MLX-AXQ-6bit is a feature extraction model from AutomatosX. Use it when you need embeddings to search or compare text. It is set up for mlx. The card lists the license as other.
Research development artifact. Base affine6 packing with higher-precision protection, not MXFP6 or uniformly six-bit storage. No quality certificate is issued.
Downloads · 30 days
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83% of all-time downloads
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.safetensors7.1 GB · 100%
How the weights are stored.
U328B · 100%
From the Hugging Face model README
Research development artifact. Base affine6 packing with higher-precision protection, not MXFP6 or uniformly six-bit storage. No quality certificate is issued.
| Property | Value |
|---|---|
| Source | nvidia/Nemotron-3-Embed-8B-BF16 |
| Immutable source revision | d1f2f25730bbd775b99b29185134bc86653bf2d1 |
| Complete weight storage | 7,097,417,640 bytes |
| Complete measured BPW | 7.139646 |
| Manifest budget class | 7p1bpw |
| MTP | No MTP payload is advertised. |
The precision distribution and exact per-module settings are recorded in
axquant_manifest.json, axquant_plan.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.
{
"task": "embedding",
"runtime": "mlx-vlm",
"version": "0.7.9",
"mlx_version": "0.32.4",
"cases": [
{
"finite": true,
"mars_ranks_above_venus": true,
"min_cosine_vs_source": 0.9991735219955444,
"passed": true,
"shape": [
3,
4096
],
"unit_norm": true
}
]
}
| Runtime | Evidence for this artifact |
|---|---|
| MLX-VLM 0.7.9 | Passed the task-specific smoke above |
| MLX-LM | Not separately tested |
| AX Engine | Not tested; architecture metadata is not execution evidence |
| omlx | unsupported (static only) |
| mtplx | unsupported (static only) |
Unexercised modalities and MTP behavior remain unverified. Peer runtime-specific exports require distinct variants and their own testing. See the manifest-bound static report.
python -m pip install -U huggingface_hub mlx-vlm
hf download AutomatosX/AX-Nemotron-3-Embed-8B-MLX-AXQ-6bit --local-dir ./AX-Nemotron-3-Embed-8B-MLX-AXQ-6bit
Pin the immutable Hub revision. Use mlx_vlm.embedding_loader.load_embedding_model for embeddings, preserving source pooling and task prefixes.
The source license and notices are retained where supplied. The upstream
repository and its license govern downstream use; no additional commercial grant
or upstream benchmark/certification transfer is implied.