initial commit

.gitattributes

@@ -33,3 +33,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+imatrix-*.dat filter=lfs diff=lfs merge=lfs -text
+*.gguf filter=lfs diff=lfs merge=lfs -text
+*.png filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,3 +1,121 @@
 ---
+quantized_by: ubergarm
+pipeline_tag: text-generation
+base_model: Qwen/Qwen3-30B-A3B-Instruct-2507
 license: apache-2.0
+license_link: https://huggingface.co/Qwen/Qwen3-30B-A3B-Instruct-2507/blob/main/LICENSE
+base_model_relation: quantized
+tags:
+- imatrix
+- conversational
+- qwen3_moe
+- ik_llama.cpp
 ---
+
+## `ik_llama.cpp` imatrix Quantizations of Qwen/Qwen3-30B-A3B-Instruct-2507
+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*. These first two are just test quants for baseline perplexity comparison:
+
+![Perplexity Chart](images/perplexity.png "Chart showing Perplexity improving as BPW increases.")
+
+* `bf16` 56.894 GiB (16.007 BPW
+  - Final estimate: PPL = TODO
+* `Q8_0` TODO GiB (TODO BPW)
+  - Final estimate: PPL = TODO
+
+## `IQ5_K` TODO GiB (TODO BPW)
+Final estimate: PPL = TODO
+
+<details>
+
+<summary>👈 Secret Recipe</summary>
+
+```bash
+echo TODO
+```
+
+</details>
+
+## `IQ4_K`
+
+<details>
+
+<summary>👈 Secret Recipe</summary>
+
+```bash
+echo TODO
+```
+
+</details>
+
+## `IQ4_KSS`
+
+<details>
+
+<summary>👈 Secret Recipe</summary>
+
+```bash
+```
+
+</details>
+
+
+## `IQ3_K`
+
+<details>
+
+<summary>👈 Secret Recipe</summary>
+
+```bash
+```
+
+</details>
+
+## `IQ3_KS`
+
+<details>
+
+<summary>👈 Secret Recipe</summary>
+
+```bash
+```
+
+</details>
+
+
+## `IQ2_KL`
+
+<details>
+
+<summary>👈 Secret Recipe</summary>
+
+```bash
+```
+
+</details>
+
+## Quick Start
+This example is for a single CUDA GPU hybrid infrencing with CPU/RAM. Check ik_llama.cpp discussions or my other quants for more examples for multi-GPU etc.
+
+```bash
+echo 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)
+* [eaddario/imatrix-calibration](https://huggingface.co/datasets/eaddario/imatrix-calibration)