wrldsuksgo2mars/Step-5-Preview-EXL3-K4-Core-K6
AI model by wrldsuksgo2mars
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Quantized from the original BF16 release stepfun-ai/Step-5-Preview-BF16, pinned at 7734b7ffac118d70d8398bfa3eb0fab007eb45b1. The checkpoint retains its native sliding-window and sparse full-attention schedule, FP32 residual/norm numerics, headwise attention gates, three MTP stages, bundled vision tower, tokenizer, image processing assets and the source license (copied verbatim). MCG multiplier is 0xCBAC1FED, seed 787, sigma 0.025 and automatic output scales. Each of the 352 fused source experts is exported as a separately named standard EXL3 projection under model.layers.N.moe.experts.E in original expert-index order. Each projection contains trellis int16, suh/svh float16 and one int32 MCG multiplier. Per-module metadata in quantizeconfig.json:tensorstorage and safetensors headers describe each projection's bit width and layout. Target payload is 315,357,147,520 bytes (293.699 GiB), 96 shards and 375,913 tensors. Headers and metadata add overhead. Vision is preserved byte-for-byte and no visionbits is declared. Calibration uses the pinned public wrldsuksgo2mars/agentic-quant-panel-v1 with the checkpoint's native chat/thinking rendering. Exact sample/token counts and rendered-token/input/producer hashes are recorded in provenance.…
Read the full model card ↗ · Preview checked 2026-11-01T08:52:08.336Z
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Model overview
wrldsuksgo2mars/Step-5-Preview-EXL3-K4-Core-K6 is a task-unspecified model repository published by wrldsuksgo2mars on Hugging Face. A library was not reported.
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Model facts
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- Created
- 2026-11-01T06:34:47.000Z
- Last modified
- 2026-11-01T06:34:47.000Z
Compatibility and lineage
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Source: Hugging Face Hub. Metadata observed 2026-11-01T06:50:35.005Z. Daily imports are snapshots, not real-time monitoring.
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