In a post dated August 28, 2026, an engineer reports dynamically quantizing GLM-5.3 to 1 bit: 217 GB versus 1.5 TB in BF16, with about 76% top-1 accuracy.
A post dated August 28, 2026 reports that an engineer dynamically quantized GLM-5.3 to 1 bit. According to the account, the model takes 217 GB, compared with 1.5 TB for the BF16 version, and retains about 76% top-1 accuracy. The author also says they ran a basic game of snake with the quantized version in Unsloth Desktop.
The figures illustrate a possible trade-off between size and accuracy in low-precision quantization; they are reported results, not an independent evaluation. To verify them, consult the original post and check how size and accuracy were measured, which evaluation set was used, and under what conditions the snake test ran. If you use AI to study or apply the method, avoid entering sensitive organizational data and follow your organization's privacy policy.