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User releases 140GB GLM-5.2 coding quantization for testing

A user has created a 140 GB IQ2_XXS REAP quantization of the GLM-5.2 model, specifically optimized for coding tasks. This quantization is based on the "most liked REAP" and is available on Hugging Face. The creator is seeking testers and is curious about how it compares to other models like Qwen 3.6 27b and DeepSeek Flash v4. AI

IMPACT This specific quantization offers a large-model variant for local use, potentially improving coding assistance on consumer hardware.

RANK_REASON User-created quantization of an existing model, not a frontier release from a major lab.

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

User releases 140GB GLM-5.2 coding quantization for testing

COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/whiteh4cker ·

    I created a 140 GB IQ2_XXS REAP quant of GLM 5.2 for coding. Looking for testers.

    <!-- SC_OFF --><div class="md"><p><a href="https://huggingface.co/icecubetr/GLM-5.2-504B-Code-GGUF">GLM-5.2-504B-Code-GGUF</a> is an imatrix calibrated quant of the most liked REAP, which is <a href="https://huggingface.co/0xSero/GLM-5.2-REAP-504B-GGUF">0xSero/GLM-5.2-REAP-504B-G…