Update README.md

README.md

@@ -106,6 +106,72 @@ model-index:
 This model was converted to GGUF format from [`Darkknight535/OpenCrystal-12B-L3`](https://huggingface.co/Darkknight535/OpenCrystal-12B-L3) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
 Refer to the [original model card](https://huggingface.co/Darkknight535/OpenCrystal-12B-L3) for more details on the model.
 
+---
+Model details:
+-
+OpenCrystal-12B-L3
+
+This is a finetuned language model. (I recommend using this one v2 and v2.1 are not good enough)
+
+Rohma
+128K??
+
+L3.1 Variant here
+Instruct Template
+
+Default llama3 instruct and context preset, but here is the one i use. Instruct Context
+Samplers
+Creative
+
+Temp : 1.23
+Min P : 0.05
+Repetition Penalty : 1.05
+
+[And everything else neutral]
+
+Normal
+
+Temp : 0.6 - 0.8
+Min P : 0.1
+Repetition Penalty : 1.1
+
+[And everything else neutral]
+
+Pro Tip
+
+    You can uncheck Include Names option in sillytavern, to force it to speak as others dynamically. Not Recommended
+
+Features
+
+    Can speak as other npc automatically.
+    Creative (Swipes are crazy.)
+    Coherent (Sometime gets horny)
+    Output feels like you're using Character.ai
+    Follows prompt better
+    Likes higher context length. (12K easily tested)
+    can summarize and generate image prompts well [The Above image's prompt is generated in a roleplay by this model] (Possible : Due to llama-3-instruct as base)
+
+Instruct Prompt
+
+You're {{char}}, follow {{char}} personality and plot of the story, Don't impersonate as {{user}}, Speak as others NPC except {{user}} when needed. Be Creative, Create various interesting events and situations during the story.
+
+FeedBack
+
+FeedBack here
+Open LLM Leaderboard Evaluation Results
+
+Detailed results can be found here
+Metric 	Value
+Avg. 	20.51
+IFEval (0-Shot) 	40.71
+BBH (3-Shot) 	31.84
+MATH Lvl 5 (4-Shot) 	7.93
+GPQA (0-shot) 	7.49
+MuSR (0-shot) 	5.74
+MMLU-PRO (5-shot) 	29.34
+
+---
+
 ## Use with llama.cpp
 Install llama.cpp through brew (works on Mac and Linux)