MODEL PROFILE

glm-5.3-exlr8-k2-k3-k4

kindlingai · glm-5.3-exlr8-k2-k3-k4

Version 0.5 (git tag `v0.5`). See the changelog. Weight set ID: `2011c0cedde962d19fc43e74c1d409279e398d40d27a6fdb4bcb7b49ea2ea6fb` (see Identifying the weights). Also mirrored on ModelScope: kindlingai/glm-5.3-exlr8-k2-k3-k4. > **These weights cannot be used without E4M3 rounding.** A loader must round every value the trellis > codebook produces to FP8 E4M3 (round to nearest even, saturating) before applying the side vectors. The > encoder searched only over E4M3-rounded values, so the rounding is part of the format: a stock EXL3 decoder, > or any decoder that skips the rounding, reads measurably worse weights from the same bytes.

Text generationlicense:other
Context windowNot disclosed
Input → OutputText → Text
Model weightsOpen weights
Profile updated2026/11/2 19:16:50
OVERVIEW

Model overview

Version 0.5 (git tag `v0.5`). See the changelog. Weight set ID: `2011c0cedde962d19fc43e74c1d409279e398d40d27a6fdb4bcb7b49ea2ea6fb` (see Identifying the weights). Also mirrored on ModelScope: kindlingai/glm-5.3-exlr8-k2-k3-k4. > **These weights cannot be used without E4M3 rounding.** A loader must round every value the trellis > codebook produces to FP8 E4M3 (round to nearest even, saturating) before applying the side vectors. The > encoder searched only over E4M3-rounded values, so the rounding is part of the format: a stock EXL3 decoder, > or any decoder that skips the rounding, reads measurably worse weights from the same bytes.

Key features

特点摘要待依据来源补齐,不凭模型名称推断能力。

Limitations & considerations

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PRICING & COST

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INDEPENDENT BENCHMARKS

Public benchmarks & run configuration

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Frequently asked questions

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Sources & traceability

许可证:other。模型介绍与第三方评测均以原来源的具体版本和方法为准。