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 +1,104 @@
----
-license: mit
----
+---
+quantized_by: ubergarm
+pipeline_tag: text-generation
+base_model: inclusionAI/Ling-1T
+license: mit
+base_model_relation: quantized
+tags:
+- imatrix
+- bailing_moe
+- conversational
+- ik_llama.cpp
+---
+
+## `ik_llama.cpp` imatrix Quantizations of inclusionAI/Ling-1T
+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 with Windows builds for CUDA 12.9. Also check for [Windows builds by Thireus here.](https://github.com/Thireus/ik_llama.cpp/releases) which have been CUDA 12.8.
+
+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.")
+
+This one is just a test quant for baseline perplexity comparison:
+* `Q8_0` 989.678 GiB (8.504 BPW)
+  - Final estimate: PPL = TODO
+
+## smol-IQ4_KSS TODO
+Final estimate: PPL = TODO
+
+## smol-IQ2_KS TODO
+Final estimate: PPL = TODO
+
+Should hopefully fit in 249.38 GiB RAM + 14.3 GiB VRAM + kv-cache/context...🤞
+
+Leaving the `attn.*`/first 4 dense layers/shexp at full q8_0 would take about 20.1 GiB VRAM, might do some other quants like that for folks with more VRAM.
+
+<details>
+
+<summary>👈 Secret Recipe</summary>
+
+```bash
+custom="
+# 80 Repeating Layers [0-79]
+
+# Attention
+blk\..*\.attn_qkv.*=iq6_k
+blk\..*\.attn_output.*=iq6_k
+
+# First 4 Dense Layers [0-3]
+blk\..*\.ffn_down\.weight=iq5_ks
+blk\..*\.ffn_(gate|up)\.weight=iq5_ks
+
+# Shared Expert Layers [3-79]
+blk\..*\.ffn_down_shexp\.weight=iq5_ks
+blk\..*\.ffn_(gate|up)_shexp\.weight=iq5_ks
+
+# Routed Experts Layers [3-79]
+blk\..*\.ffn_down_exps\.weight=iq2_ks
+blk\..*\.ffn_(gate|up)_exps\.weight=iq2_ks
+
+# Non-Repeating Layers
+token_embd\.weight=iq4_k
+output\.weight=iq6_k
+"
+
+custom=$(
+  echo "$custom" | grep -v '^#' | \
+  sed -Ez 's:\n+:,:g;s:,$::;s:^,::'
+)
+
+numactl -N ${SOCKET} -m ${SOCKET} \
+./build/bin/llama-quantize \
+    --custom-q "$custom" \
+    --imatrix /mnt/data/models/ubergarm/Ling-1T-GGUF/imatrix-Ling-1T-Q8_0.dat \
+    /mnt/data/models/ubergarm/Ling-1T-GGUF/Ling-1T-BF16-00001-of-00046.gguf \
+    /mnt/data/models/ubergarm/Ling-1T-GGUF/Ling-1T-smol-IQ2_KS.gguf
+    IQ2_KS \
+    192
+```
+
+</details>
+
+
+## Quick Start
+```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)
+* [ik_llama.cpp PR833](https://github.com/ikawrakow/ik_llama.cpp/pull/833)
+* [mainline llama.cpp PR16063](https://github.com/ggml-org/llama.cpp/pull/16063)