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OxytocinErosEngineeringF2 7B Slerp by weezywitasneezy

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  Merged Model   Autotrain compatible   Base model:epiculous/mika-7b Base model:jeiku/eros prodigad...   Endpoints compatible   Epiculous/mika-7b   Gguf   Jeiku/eros prodigadigm 7b   Mistral   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/weezywitasneezy/OxytocinErosEngineeringF2-7B-slerp 

OxytocinErosEngineeringF2 7B Slerp Benchmarks

LLME Score: 0.15461
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
OxytocinErosEngineeringF2 7B Slerp (weezywitasneezy/OxytocinErosEngineeringF2-7B-slerp)
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OxytocinErosEngineeringF2 7B Slerp Parameters and Internals

LLM NameOxytocinErosEngineeringF2 7B Slerp
Repository 🤗https://huggingface.co/weezywitasneezy/OxytocinErosEngineeringF2-7B-slerp 
Base Model(s)  Eros Prodigadigm 7B   Mika 7B   jeiku/Eros_Prodigadigm_7B   Epiculous/Mika-7B
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2025-07-11
Maintainerweezywitasneezy
Model Typemistral
Model Files  14.5 GB   2.0 GB: 1-of-8   1.9 GB: 2-of-8   2.0 GB: 3-of-8   2.0 GB: 4-of-8   1.9 GB: 5-of-8   1.9 GB: 6-of-8   1.9 GB: 7-of-8   0.8 GB: 8-of-8
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than weezywitasneezy/OxytocinErosEngineeringF2-7B-slerp.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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