add BF16 and Q8_0 size info

README.md

@@ -1,3 +1,56 @@
----
-license: mit
----
+---
+quantized_by: ubergarm
+pipeline_tag: text-generation
+base_model: zai-org/GLM-4.5-Air
+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 the github discussion as folks are working on adding support for this model.
+
+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 smaller Air model and the larger one too..
+
+## `ik_llama.cpp` imatrix Quantizations of zai-org/GLM-4.5-Air
+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` 203.436 GiB (16.004 BPW)
+  - Final estimate: PPL = TODO
+* `Q8_0` 108.119 GiB (8.505 BPW)
+  - Final estimate: PPL = TODO
+
+TODO
+
+## Quick Start
+```bash
+TODO
+```
+
+## 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)
+* [Mainline llama.cpp Draft PR14939](https://github.com/ggml-org/llama.cpp/pull/14939)
+* [ik_llama.cpp GLM-4.5 MoE PR668](https://github.com/ikawrakow/ik_llama.cpp/pull/668)