MODEL PROFILE

GLM-5.3-Flash-Uncensored-GGUF

BoldingBuilds · GLM-5.3-Flash-Uncensored-GGUF

Refusal removed from GLM-5.3-Flash by editing **666 of its 12,384 routed experts** — about **1.74% of the model's parameters**. Quantized to IQ1_S at **71.5 GiB**, which fits on a single 96 GB card. I did the edit and the quantization myself, and I measured what it cost. Every number below is first-party, taken on my own rig, on the file in this repo. > **Read this before you run it.** Every headline number below was measured at > **temperature 0, seed 0, repetition penalty 1.1/256, 16k context, `--reasoning-budget 1024`.** > The file itself ships `temperature 1.0` in its metadata and no reasoning budget, so a plain > `llama-server -m …` does **not** run the measured configuration. I tested that gap directly > (table under *Default settings vs tested settings*): at the file's own defaults, long coding > tasks ran out of output budget without answering about **1 time in 8**; with > `--reasoning-budget 1024` they did not. **For code and chat, use the quickstart line as > written. For hard math, leave the budget off** (see the correction below). This is an experimental 1.92-bit build: 37 of > 120 harmful-set responses and 8 of 120 benign ones hit the output cap in the headline run, and > that is reported separately from "unusable" below.

Visual QAlicense:mit
Context windowNot disclosed
Input → OutputText、Image → Text
Model weightsNot verified
Profile updated2026/11/2 19:16:41
OVERVIEW

Model overview

Refusal removed from GLM-5.3-Flash by editing **666 of its 12,384 routed experts** — about **1.74% of the model's parameters**. Quantized to IQ1_S at **71.5 GiB**, which fits on a single 96 GB card. I did the edit and the quantization myself, and I measured what it cost. Every number below is first-party, taken on my own rig, on the file in this repo. > **Read this before you run it.** Every headline number below was measured at > **temperature 0, seed 0, repetition penalty 1.1/256, 16k context, `--reasoning-budget 1024`.** > The file itself ships `temperature 1.0` in its metadata and no reasoning budget, so a plain > `llama-server -m …` does **not** run the measured configuration. I tested that gap directly > (table under *Default settings vs tested settings*): at the file's own defaults, long coding > tasks ran out of output budget without answering about **1 time in 8**; with > `--reasoning-budget 1024` they did not. **For code and chat, use the quickstart line as > written. For hard math, leave the budget off** (see the correction below). This is an experimental 1.92-bit build: 37 of > 120 harmful-set responses and 8 of 120 benign ones hit the output cap in the headline run, and > that is reported separately from "unusable" below.

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

Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.

PRICING & COST

Source prices & cost analysis

Prices vary by channel, region and configuration. Channel quotes are listed independently and are not treated as a single official provider price.

Source / channelInputOutputBilling unitCollected at
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Estimate monthly base token costs

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Estimates exclude cache discounts, tiered pricing, multimodal surcharges, web search, taxes and additional reasoning output.

INDEPENDENT BENCHMARKS

Public benchmarks & run configuration

暂无已采集的可核验公开评分。模型未上榜不代表能力较低。

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Frequently asked questions

Do open weights permit free commercial use?

Not necessarily. Check the version license, commercial conditions and usage policies. Self-hosting incurs compute and maintenance costs.

Are these real-time billing prices?

These are timestamped source snapshots, not live billing prices. Check the channel for current versions, regions, discounts and billing methods.

Sources & traceability

许可证:mit。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。