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Mika 7B LoRA by Epiculous

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  Arxiv:1910.09700   8-bit   Adapter Base model:adapter:mistralai/m... Base model:mistralai/mistral-7...   Bitsandbytes Dataset:chaoticneutrals/synthe... Dataset:chaoticneutrals/synthe...   Dataset:epiculous/gnosis Dataset:grimulkan/theory-of-mi...   Dataset:lemonilia/limarp   Finetuned   Lora   Mistral   Peft   Pytorch   Region:us   Safetensors   Sharded
Model Card on HF 🤗: https://huggingface.co/Epiculous/Mika-7B-LoRA 

Mika 7B LoRA Benchmarks

LLME Score: 0.15577
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mika 7B LoRA (Epiculous/Mika-7B-LoRA)

Mika 7B LoRA Parameters and Internals

LLM NameMika 7B LoRA
Repository 🤗https://huggingface.co/Epiculous/Mika-7B-LoRA 
Base Model(s)  mistralai/Mistral-7B-v0.1   mistralai/Mistral-7B-v0.1
Model Size7b
Required VRAM15 GB
Updated2025-06-03
MaintainerEpiculous
Model Files  0.3 GB   0.3 GB   0.7 GB   5.0 GB: 1-of-4   4.9 GB: 2-of-4   4.6 GB: 3-of-4   0.5 GB: 4-of-4   0.0 GB   0.0 GB
Model ArchitectureAdapter
Is Biasednone
Tokenizer ClassLlamaTokenizer
Padding Token</s>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesup_proj|q_proj|down_proj|v_proj|gate_proj|k_proj|o_proj
LoRA Alpha16
LoRA Dropout0.05
R Param32

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Note: green Score (e.g. "73.2") means that the model is better than Epiculous/Mika-7B-LoRA.

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Release v20241227
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