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Mergekit Sce Xgsvvmh by mergekit-community

 »  All LLMs  »  mergekit-community  »  Mergekit Sce Xgsvvmh   URL Share it on

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  Merged Model   Arxiv:2408.07990   Autotrain compatible Base model:lambent/arsenic-nem... Base model:vdr1/sunfall-nemomi...   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/mergekit-community/mergekit-sce-xgsvvmh 

Mergekit Sce Xgsvvmh Benchmarks

LLME Score: 0.22779
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Mergekit Sce Xgsvvmh Parameters and Internals

LLM NameMergekit Sce Xgsvvmh
Repository 🤗https://huggingface.co/mergekit-community/mergekit-sce-xgsvvmh 
Base Model(s)  Arsenic Nemo Unleashed 12B   mergekit-community/mergekit-sce-bbsugqn   Vdr1/Sunfall-NemoMix-Unleashed-12B-v0.6.1   Lambent/arsenic-nemo-unleashed-12B   mergekit-community/mergekit-sce-bbsugqn   Vdr1/Sunfall-NemoMix-Unleashed-12B-v0.6.1
Merged ModelYes
Model Size12b
Required VRAM24.5 GB
Updated2025-06-09
Maintainermergekit-community
Model Typemistral
Model Files  4.9 GB: 1-of-5   4.9 GB: 2-of-5   4.9 GB: 3-of-5   4.9 GB: 4-of-5   4.9 GB: 5-of-5
Model ArchitectureMistralForCausalLM
Context Length1024000
Model Max Length1024000
Transformers Version4.48.2
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size131072
Torch Data Typebfloat16
Mergekit Sce Xgsvvmh (mergekit-community/mergekit-sce-xgsvvmh)

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Note: green Score (e.g. "73.2") means that the model is better than mergekit-community/mergekit-sce-xgsvvmh.

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Release v20241124
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