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YetAnotherMerge V0.7a by Nohobby

 »  All LLMs  »  Nohobby  »  YetAnotherMerge V0.7a   URL Share it on

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  Merged Model   Autotrain compatible Base model:epiculous/crimson d... Base model:nbeerbower/mistral-... Base model:nohobby/yetanotherm...   Conversational   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Nohobby/YetAnotherMerge-v0.7a 

YetAnotherMerge V0.7a Benchmarks

LLME Score: 0.19711
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
YetAnotherMerge V0.7a (Nohobby/YetAnotherMerge-v0.7a)

YetAnotherMerge V0.7a Parameters and Internals

Additional Notes 
This model is a merge of pre-trained language models created using mergekit.
Training Details 
Methodology:
della merge method
LLM NameYetAnotherMerge V0.7a
Repository 🤗https://huggingface.co/Nohobby/YetAnotherMerge-v0.7a 
Base Model(s)  Epiculous/Crimson_Dawn-V0.1   Mistral Nemo Gutenberg 12B V3   Nohobby/YetAnotherMerge-v0.3   Epiculous/Crimson_Dawn-V0.1   nbeerbower/mistral-nemo-gutenberg-12B-v3   Nohobby/YetAnotherMerge-v0.3
Merged ModelYes
Model Size12b
Required VRAM24.5 GB
Updated2025-04-19
MaintainerNohobby
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 Version4.44.0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size131072
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Nohobby/YetAnotherMerge-v0.7a.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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