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lte-ai
/
GLM-5.3-Flash-Strata-Q2Q3-Experts
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5
GGUF
strata
quantization
reap
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mit
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GLM-5.3-Flash-Strata-Q2Q3-Experts
853 GB
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lte-ai
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calibration
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llvq-tetra
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reap224
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reap50
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.gitattributes
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GLM-5.3-Flash-Q23-FP8-assembled.gguf
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GLM-5.3-Flash-Q23-assembled.gguf
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README.md
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Model card: experts quantized from the FP8 release are the default (full model and REAP-50)
15 days ago
experts-q22.gguf
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experts-q22.gguf.quality.json
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experts-q23-fp8.gguf
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experts-q23-fp8.gguf.quality.json
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experts-q23.gguf
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experts-q23.gguf.quality.json
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