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Gemma 9jan by ajinkya-ftpl

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  Autotrain compatible Base model:finetune:unsloth/ge...   Base model:unsloth/gemma-2-9b   En   Endpoints compatible   Gemma2   Region:us   Safetensors   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/ajinkya-ftpl/gemma_9jan 

Gemma 9jan Benchmarks

LLME Score: 0.24168
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gemma 9jan (ajinkya-ftpl/gemma_9jan)

Gemma 9jan Parameters and Internals

LLM NameGemma 9jan
Repository 🤗https://huggingface.co/ajinkya-ftpl/gemma_9jan 
Base Model(s)  Gemma 2 9B   unsloth/gemma-2-9b
Model Size9b
Required VRAM18.6 GB
Updated2025-02-08
Maintainerajinkya-ftpl
Model Typegemma2
Model Files  4.9 GB: 1-of-4   5.0 GB: 2-of-4   5.0 GB: 3-of-4   3.7 GB: 4-of-4
Supported Languagesen
Model ArchitectureGemma2ForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.47.1
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typebfloat16

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SILMA 9B Instruct V1.08K / 18.6 GB1609973
...erge 02012025163610 Gemma 2 9B8K / 20.4 GB220
...erge 02012025163610 Gemma 2 9B8K / 20.4 GB221
MTM Merge Gemma 2 9B8K / 20.4 GB242
Note: green Score (e.g. "73.2") means that the model is better than ajinkya-ftpl/gemma_9jan.

Rank the Gemma 9jan Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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