Triangle104
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Update README.md
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README.md
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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.
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Refer to the [original model card](https://huggingface.co/Darkknight535/OpenCrystal-12B-L3) for more details on the model.
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## Use with llama.cpp
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Install llama.cpp through brew (works on Mac and Linux)
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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.
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Refer to the [original model card](https://huggingface.co/Darkknight535/OpenCrystal-12B-L3) for more details on the model.
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---
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Model details:
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OpenCrystal-12B-L3
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This is a finetuned language model. (I recommend using this one v2 and v2.1 are not good enough)
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Rohma
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128K??
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L3.1 Variant here
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Instruct Template
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Default llama3 instruct and context preset, but here is the one i use. Instruct Context
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Samplers
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Creative
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Temp : 1.23
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Min P : 0.05
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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
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Min P : 0.1
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Repetition Penalty : 1.1
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[And everything else neutral]
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Pro Tip
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You can uncheck Include Names option in sillytavern, to force it to speak as others dynamically. Not Recommended
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Features
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Can speak as other npc automatically.
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Creative (Swipes are crazy.)
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Coherent (Sometime gets horny)
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Output feels like you're using Character.ai
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Follows prompt better
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Likes higher context length. (12K easily tested)
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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)
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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.
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FeedBack
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FeedBack here
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Open LLM Leaderboard Evaluation Results
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Detailed results can be found here
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Metric Value
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Avg. 20.51
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IFEval (0-Shot) 40.71
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BBH (3-Shot) 31.84
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MATH Lvl 5 (4-Shot) 7.93
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GPQA (0-shot) 7.49
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MuSR (0-shot) 5.74
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MMLU-PRO (5-shot) 29.34
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---
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## Use with llama.cpp
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Install llama.cpp through brew (works on Mac and Linux)
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