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Gemma2 Eclipse 9B by mpasila

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Gemma2 Eclipse 9B is an open-source language model by mpasila. Features: 9b LLM, VRAM: 18.6GB, Context: 8K, Merged, LLM Explorer Score: 0.16.

  Merged Model Base model:anthracite-org/magn... Base model:crestf411/gemma2-9b... Base model:nbeerbower/gemma2-g...   Base model:unsloth/gemma-2-9b Base model:unsloth/gemma-2-9b-...   Conversational   Endpoints compatible   Gemma2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/mpasila/Gemma2-Eclipse-9B 

Gemma2 Eclipse 9B Benchmarks

LLME Score: 0.1563
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gemma2 Eclipse 9B (mpasila/Gemma2-Eclipse-9B)
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Gemma2 Eclipse 9B Parameters and Internals

LLM NameGemma2 Eclipse 9B
Repository 🤗https://huggingface.co/mpasila/Gemma2-Eclipse-9B 
Base Model(s)  Gemma 2 9B   crestf411/gemma2-9B-sunfall-v0.5.2   Magnum V4 9B   Gemma 2 9B It   Gemma2 Gutenberg Doppel 9B   unsloth/gemma-2-9b   crestf411/gemma2-9B-sunfall-v0.5.2   anthracite-org/magnum-v4-9b   unsloth/gemma-2-9b-it   nbeerbower/Gemma2-Gutenberg-Doppel-9B
Merged ModelYes
Model Size9b
Required VRAM18.6 GB
Updated2026-05-14
Maintainermpasila
Model Typegemma2
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   5.0 GB: 3-of-4   3.6 GB: 4-of-4
Model ArchitectureGemma2ForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.45.2
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 mpasila/Gemma2-Eclipse-9B.

Rank the Gemma2 Eclipse 9B Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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