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User releases 140GB GLM-5.2 coding quantization for testing

By PulseAugur Editorial · [1 sources] ·

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

How we ranked this

Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
User-created quantization of an existing model, not a frontier release from a major lab.
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
model release, product
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AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
80 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

Full methodology in our editorial standards.

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…

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