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MT Merge4 BMUGI Gemma 2 9B by zelk12

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  Merged Model   Autotrain compatible   Conversational   Endpoints compatible   Gemma2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/zelk12/MT-Merge4-BMUGI-gemma-2-9B 

MT Merge4 BMUGI Gemma 2 9B Benchmarks

LLME Score: 0.28546
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MT Merge4 BMUGI Gemma 2 9B (zelk12/MT-Merge4-BMUGI-gemma-2-9B)

MT Merge4 BMUGI Gemma 2 9B Parameters and Internals

LLM NameMT Merge4 BMUGI Gemma 2 9B
Repository 🤗https://huggingface.co/zelk12/MT-Merge4-BMUGI-gemma-2-9B 
Base Model(s)  MT Merge4 BMU Gemma 2 9B   MT Merge4 GI Gemma 2 9B   zelk12/MT-Merge4-BMU-gemma-2-9B   zelk12/MT-Merge4-GI-gemma-2-9B
Merged ModelYes
Model Size9b
Required VRAM20.4 GB
Updated2024-12-23
Maintainerzelk12
Model Typegemma2
Model Files  5.0 GB: 1-of-5   5.0 GB: 2-of-5   4.9 GB: 3-of-5   5.0 GB: 4-of-5   0.5 GB: 5-of-5
Model ArchitectureGemma2ForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.46.2
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than zelk12/MT-Merge4-BMUGI-gemma-2-9B.

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