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README.md

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----
-license: mit
----
+---
+quantized_by: ubergarm
+pipeline_tag: text-generation
+base_model: zai-org/GLM-4.5
+license: mit
+base_model_relation: quantized
+tags:
+- imatrix
+- conversational
+- ik_llama.cpp
+---
+
+This is an experimental place-holder with an imatrix not for general purpose use just yet. I'm not releasing any quants for this just yet until the various PRs are in place and tested better.
+
+Check the References below for the BF16 GGUF I used and a github discussion showing methodology used to collect this imatrix specificlly for @Thireus.
+
+Keep an eye out for new PR and follow along, once this thing is tested and considered working correctly I hope to release some quants for both this and the smaller Air model.
+
+## `ik_llama.cpp` imatrix Quantizations of zai-org/GLM-4.5
+This quant collection **REQUIRES** [ik_llama.cpp](https://github.com/ikawrakow/ik_llama.cpp/) fork to support the ik's latest SOTA quants and optimizations! Do **not** download these big files and expect them to run on mainline vanilla llama.cpp, ollama, LM Studio, KoboldCpp, etc!
+
+*NOTE* `ik_llama.cpp` can also run your existing GGUFs from bartowski, unsloth, mradermacher, etc if you want to try it out before downloading my quants.
+
+Some of ik's new quants are supported with [Nexesenex/croco.cpp](https://github.com/Nexesenex/croco.cpp) fork of KoboldCPP.
+
+These quants provide best in class perplexity for the given memory footprint.
+
+## Big Thanks
+Shout out to Wendell and the **Level1Techs** crew, the community [Forums](https://forum.level1techs.com/t/deepseek-deep-dive-r1-at-home/225826), [YouTube Channel](https://www.youtube.com/@Level1Techs)!  **BIG thanks** for providing **BIG hardware** expertise and access to run these experiments and make these great quants available to the community!!!
+
+Also thanks to all the folks in the quanting and inferencing community on [BeaverAI Club Discord](https://huggingface.co/BeaverAI) and on [r/LocalLLaMA](https://www.reddit.com/r/LocalLLaMA/) for tips and tricks helping each other run, test, and benchmark all the fun new models!
+
+## Quant Collection
+Perplexity computed against *wiki.test.raw*.
+
+![Perplexity Chart](images/perplexity.png "Chart showing Perplexity improving as BPW increases.")
+
+These first two are just test quants for baseline perplexity comparison:
+* `BF16` 670.586 GiB (16.075 BPW)
+  - Final estimate: PPL = TODO
+* `Q8_0` 359.183 GiB (8.610 BPW)
+  - Final estimate: PPL = TODO
+
+TODO
+
+## Quick Start
+#### CPU-Only
+
+## References
+* [ik_llama.cpp](https://github.com/ikawrakow/ik_llama.cpp)
+* [Getting Started Guide (already out of date lol)](https://github.com/ikawrakow/ik_llama.cpp/discussions/258)
+* [ubergarm-imatrix-calibration-corpus-v02.txt](https://gist.github.com/ubergarm/edfeb3ff9c6ec8b49e88cdf627b0711a?permalink_comment_id=5682584#gistcomment-5682584)
+* [Thireus/GLM-4.5-THIREUS-BF16-SPECIAL_SPLIT](https://huggingface.co/Thireus/GLM-4.5-THIREUS-BF16-SPECIAL_SPLIT/tree/main)
+* [Experimental ik_llama.cpp PR discussion](https://github.com/ikawrakow/ik_llama.cpp/pull/662#issuecomment-3145001132)