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OxytocinErosEngineeringF1 7B Slerp by weezywitasneezy

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OxytocinErosEngineeringF1 7B Slerp is an open-source language model by weezywitasneezy. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: cc-by-nc-4.0, Quantized, Merged, LLM Explorer Score: 0.13, Arc: 67.2, HellaSwag: 86, MMLU: 64.7, GSM8K: 61.8.

  Merged Model Base model:chaoticneutrals/eri... Base model:quantized:chaoticne...   Chaoticneutrals/eris remix 7b   Endpoints compatible   Gguf   Mistral   Quantized   Region:us   Safetensors   Sharded   Tensorflow   Virt-io/erebus-holodeck-7b
Model Card on HF 🤗: https://huggingface.co/weezywitasneezy/OxytocinErosEngineeringF1-7B-slerp 

OxytocinErosEngineeringF1 7B Slerp Benchmarks

ARC: 67.15 vs 96.7 (so35)-30.6%
HellaSwag: 86 vs 95.3 (gpt4)-9.8%
MMLU: 64.73 vs 88.3 (so35)-26.7%
GSM8K: 61.79 vs 96.4 (so35)-35.9%
LLME Score: 0.13214
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
OxytocinErosEngineeringF1 7B Slerp (weezywitasneezy/OxytocinErosEngineeringF1-7B-slerp)
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OxytocinErosEngineeringF1 7B Slerp Parameters and Internals

Additional Notes 
OxytocinErosEngineeringF1-7B-slerp is a merged model using 'LazyMergekit'. It merges two models: 'ChaoticNeutrals/Eris_Remix_7B' and 'Virt-io/Erebus-Holodeck-7B'. The configuration method is 'slerp'.
Training Details 
Methodology:
merge
LLM NameOxytocinErosEngineeringF1 7B Slerp
Repository 🤗https://huggingface.co/weezywitasneezy/OxytocinErosEngineeringF1-7B-slerp 
Base Model(s)  Eris Remix 7B   Virt-io/Erebus-Holodeck-7B   ChaoticNeutrals/Eris_Remix_7B   Virt-io/Erebus-Holodeck-7B
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2026-05-22
Maintainerweezywitasneezy
Model Typemistral
Model Files  14.5 GB   2.0 GB: 1-of-8   2.0 GB: 2-of-8   1.9 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
Licensecc-by-nc-4.0
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/OxytocinErosEngineeringF1-7B-slerp.

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Instruction Following and Task Automation  
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