Datasets:

ChuckMcSneed
/

NeoEvalPlusN_benchmark

@@ -30,24 +30,26 @@ PS=creative writing
 Here they are. The results of each test. You can see pure data in file [LLM-test.csv](LLM-test.csv)
 What they show is quite interesting:
-- Goliath in the best at following commands, followed by Qwen and Nous-Hermes
-- Goliath, Xwin and Mixtral are the best at creative writing
 - Qwen is terrible at creative writing, but good at following commands, Mixtral is the opposite
-- Size matters! 34B Nous-Capubara is the worst on average(out of "legit" models), likely due to its size
-- Xwin, Goliath and Mixtral are the best at stylized writing
-- Goliath, Euryale, Xwin and Mixtral are the only ones who were capable to write coherent poems most of the time
 - Una-xaberius shows that overtraining on benchmarks leads to loss of creativity and the model does not become smarter
 - Solar-instruct, despite its small size still can write poems, but is incapable of writing in style
 - ChatGPT can't pass B-test due to filter, C-test and P tests were not performed for that reason. It is incredibly good at stylized writing though, outperforming ALL tested local models. It can't pass D-test due to overfitting.
 - Cybertron seems to perform at approximately the same level as Solar-instruct, it also was surprisingly okay at writing poems
 - Neither Cybertron nor Solar-instruct outperform 70B models as they claim. Both are unable to follow advanced instructions(BCD tests).
 # More tests?
 Feel free to suggest more models for testing by opening new discussion. Mention model name, size and why do you want to test it.
 # Updates
-2023-12-19
-Added solar-instruct(suspicously high benchmarks) una-xaberius(known cheater) and ChatGPT. Some tests were not performed with ChatGPT because Sam will ban me for them.
-Added cybertron v3 per request of @fblgit.

 Here they are. The results of each test. You can see pure data in file [LLM-test.csv](LLM-test.csv)
 What they show is quite interesting:
+- Goliath and Spicyboros are the best at following commands, followed by Qwen and Nous-Hermes
 - Qwen is terrible at creative writing, but good at following commands, Mixtral is the opposite
+- Xwin, Goliath, Spicyboros and Mixtral are the best at creative tasks
 - Una-xaberius shows that overtraining on benchmarks leads to loss of creativity and the model does not become smarter
 - Solar-instruct, despite its small size still can write poems, but is incapable of writing in style
 - ChatGPT can't pass B-test due to filter, C-test and P tests were not performed for that reason. It is incredibly good at stylized writing though, outperforming ALL tested local models. It can't pass D-test due to overfitting.
+- Spicyboros likely ingerited its ability of stylized writing from GPT
+- Spicyboros is incredibly well finetuned on following instructions, and can even do stylized writing, outperforming Goliath on this benchmark. Not sure how it performs in practice
 - Cybertron seems to perform at approximately the same level as Solar-instruct, it also was surprisingly okay at writing poems
 - Neither Cybertron nor Solar-instruct outperform 70B models as they claim. Both are unable to follow advanced instructions(BCD tests).
+- Chronos is the first 70B model that can't pass any of BCD tests ie is incapable of following complex instructions
+- SynthIA is a disappointment
 # More tests?
 Feel free to suggest more models for testing by opening new discussion. Mention model name, size and why do you want to test it.
 # Updates
+### 2023-12-20
+- Added Synthia, Spicyboros and Chronos
+### 2023-12-19
+- Added solar-instruct(suspicously high benchmarks) una-xaberius(known cheater) and ChatGPT. Some tests were not performed with ChatGPT because Sam will ban me for them.
+- Added cybertron v3 per request of @fblgit.