initial commit
Browse files- .gitattributes +3 -0
- README.md +48 -3
.gitattributes
CHANGED
@@ -33,3 +33,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
|
|
33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
36 |
+
imatrix-*.dat filter=lfs diff=lfs merge=lfs -text
|
37 |
+
*.gguf filter=lfs diff=lfs merge=lfs -text
|
38 |
+
*.png filter=lfs diff=lfs merge=lfs -text
|
README.md
CHANGED
@@ -1,3 +1,48 @@
|
|
1 |
-
---
|
2 |
-
|
3 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
quantized_by: ubergarm
|
3 |
+
pipeline_tag: text-generation
|
4 |
+
base_model: deepcogito/cogito-v2-preview-deepseek-671B-MoE
|
5 |
+
license: mit
|
6 |
+
base_model_relation: quantized
|
7 |
+
tags:
|
8 |
+
- mla
|
9 |
+
- imatrix
|
10 |
+
- conversational
|
11 |
+
- deepseek_v3
|
12 |
+
- ik_llama.cpp
|
13 |
+
---
|
14 |
+
|
15 |
+
*WIP* This big one will take a bit, please be patient as it cooks and uploads!
|
16 |
+
|
17 |
+
## `ik_llama.cpp` imatrix Quantizations of deepcogito/cogito-v2-preview-deepseek-671B-MoE
|
18 |
+
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!
|
19 |
+
|
20 |
+
*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.
|
21 |
+
|
22 |
+
Some of ik's new quants are supported with [Nexesenex/croco.cpp](https://github.com/Nexesenex/croco.cpp) fork of KoboldCPP.
|
23 |
+
|
24 |
+
These quants provide best in class perplexity for the given memory footprint.
|
25 |
+
|
26 |
+
## Big Thanks
|
27 |
+
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!!!
|
28 |
+
|
29 |
+
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!
|
30 |
+
|
31 |
+
## Quant Collection
|
32 |
+
Perplexity computed against *wiki.test.raw*.
|
33 |
+
|
34 |
+

|
35 |
+
|
36 |
+
These first two are just test quants for baseline perplexity comparison:
|
37 |
+
* `Q8_0` TODO GiB (TODO BPW)
|
38 |
+
- Final estimate: PPL = TODO
|
39 |
+
* `Q4_0` TODO GiB (TODO BPW)
|
40 |
+
- Final estimate: PPL = TODO
|
41 |
+
|
42 |
+
TODO
|
43 |
+
|
44 |
+
## References
|
45 |
+
* [ik_llama.cpp](https://github.com/ikawrakow/ik_llama.cpp)
|
46 |
+
* [Getting Started Guide (already out of date lol)](https://github.com/ikawrakow/ik_llama.cpp/discussions/258)
|
47 |
+
* [ubergarm-imatrix-calibration-corpus-v02.txt](https://gist.github.com/ubergarm/edfeb3ff9c6ec8b49e88cdf627b0711a?permalink_comment_id=5682584#gistcomment-5682584)
|
48 |
+
* [deepcogito blog post](https://www.deepcogito.com/research/cogito-v2-preview)
|