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GLM-4.5-Air-USFT-unfiltered-iter1499
TianchenGuan/GLM-4.5-Air-USFT-unfiltered-iter1499
GLM-4.5-Air-USFT-unfiltered-iter1499 is a machine learning model from TianchenGuan. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
SFT of the midtrained GLM-4.5-Air on the UNFILTERED public data mixture (sftv4publicUNFILTERED5050agent2ep, 19.04M rows / 4.75M effective weight). This is the "U" control arm of a filtered-vs-unfiltered training-data-…
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.safetensors218 GB · 100%
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From the Hugging Face model README
GLM-4.5-Air U-SFT (unfiltered public mixture), iter 1499 (partial)
SFT of the midtrained GLM-4.5-Air on the UNFILTERED public data mixture
(sft_v4_public_UNFILTERED_5050_agent2ep, 19.04M rows / 4.75M effective weight). This is the
"U" control arm of a filtered-vs-unfiltered training-data-integrity experiment; the filtered twin
(F-SFT, trained to completion) is
GLM-4.5-Air-FSFT-public-filtered.
Training stopped at iter 1,499 of a planned 4,643 (32%) due to compute reallocation; earlier checkpoints (iter 499/999) exist. Use for matched-step comparisons against F-SFT, not as a finished model. Data recipes: see openrecipe-configs-and-ablations. Duke University research project.
- Type
- glm4_moe
- License
- mit
- Created
- Aug 21, 2026
- Updated
- Aug 21, 2026