AI正在发生 未来正在更新GLM-5.3-UNCENSORED-EXL3-3.0bpw
EXL3 quantization of dealignai/GLM-5.3-UNCENSORED-FP8, itself a weight-edited (no fine-tune) variant of zai-org/GLM-5.3. The edit is documented in `CRACK_SURGERY.json` (copied unchanged from the source repo). This repo is not affiliated with dealignai or Z.ai. tau2-bench (airline, retail), Pass^1. Agent temperature 1.0, top_p 0.95; user simulator and judges GPT-4.1 at temperature 0. The reference is stock GLM-5.3 (not the uncensored edit) served at FP8 by Z.ai via OpenRouter, run through the same harness. The difference therefore mixes the dealign weight edit and this quantization. Per trial: airline baseline 0.740 / 0.680, quant 0.600 / 0.680; retail baseline 0.465 / 0.544, quant 0.482. ± is one binomial standard error. Neither difference is statistically significant at these sample sizes; treat the airline point estimate as a possible small regression rather than a measured one.
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EXL3 quantization of dealignai/GLM-5.3-UNCENSORED-FP8, itself a weight-edited (no fine-tune) variant of zai-org/GLM-5.3. The edit is documented in `CRACK_SURGERY.json` (copied unchanged from the source repo). This repo is not affiliated with dealignai or Z.ai. tau2-bench (airline, retail), Pass^1. Agent temperature 1.0, top_p 0.95; user simulator and judges GPT-4.1 at temperature 0. The reference is stock GLM-5.3 (not the uncensored edit) served at FP8 by Z.ai via OpenRouter, run through the same harness. The difference therefore mixes the dealign weight edit and this quantization. Per trial: airline baseline 0.740 / 0.680, quant 0.600 / 0.680; retail baseline 0.465 / 0.544, quant 0.482. ± is one binomial standard error. Neither difference is statistically significant at these sample sizes; treat the airline point estimate as a possible small regression rather than a measured one.