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MT1 GB Gemma 2 9B by zelk12

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MT1 GB Gemma 2 9B is an open-source language model by zelk12. Features: 9b LLM, VRAM: 20.4GB, Context: 8K, Merged, LLM Explorer Score: 0.16.

  Merged Model Base model:zelk12/mt1-bb-gemma... Base model:zelk12/mt1-gp-gemma...   Conversational   Endpoints compatible   Gemma2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/zelk12/MT1-GB-gemma-2-9B 

MT1 GB Gemma 2 9B Benchmarks

LLME Score: 0.15948
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MT1 GB Gemma 2 9B (zelk12/MT1-GB-gemma-2-9B)
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MT1 GB Gemma 2 9B Parameters and Internals

Model Type 
transformers
Additional Notes 
The model's merge process was managed using MergeKit, with distinct base models merged using specific configuration parameters for merging.
Training Details 
Methodology:
The model was created using the SLERP merge method using two base models.
Release Notes 
Notes:
This model is a result of merging two pre-trained language models, zelk12/MT1-GP-gemma-2-RPMHv0.1RAt0.25v0.1-9B and zelk12/MT1-BB-gemma-2-RIv0.1RAt0.25v0.1-9B, using the SLERP method with specific parameter settings.
LLM NameMT1 GB Gemma 2 9B
Repository 🤗https://huggingface.co/zelk12/MT1-GB-gemma-2-9B 
Base Model(s)  zelk12/MT1-GP-gemma-2-RPMHv0.1RAt0.25v0.1-9B   zelk12/MT1-BB-gemma-2-RIv0.1RAt0.25v0.1-9B   zelk12/MT1-GP-gemma-2-RPMHv0.1RAt0.25v0.1-9B   zelk12/MT1-BB-gemma-2-RIv0.1RAt0.25v0.1-9B
Merged ModelYes
Model Size9b
Required VRAM20.4 GB
Updated2026-04-04
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 Version4.45.1
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/MT1-GB-gemma-2-9B.

Rank the MT1 GB Gemma 2 9B Capabilities

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