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README.md

@@ -106,72 +106,6 @@ 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.
 
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-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
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-[And everything else neutral]
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-Normal
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-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
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-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)