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Openchat 7B Galbaat Merged With Main by codingninja

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Openchat 7B Galbaat Merged With Main is an open-source language model by codingninja. Features: 7b LLM, VRAM: 17.1GB, Context: 8K, License: apache-2.0, Merged, LLM Explorer Score: 0.14.

  Merged Model   Autotrain compatible Base model:finetune:openchat/o... Base model:openchat/openchat-3...   Conversational   En   Endpoints compatible   Gemma   Region:us   Safetensors   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/codingninja/openchat-7b-galbaat-merged-with-main 

Openchat 7B Galbaat Merged With Main Benchmarks

LLME Score: 0.14137
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Openchat 7B Galbaat Merged With Main (codingninja/openchat-7b-galbaat-merged-with-main)
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Openchat 7B Galbaat Merged With Main Parameters and Internals

Model Type 
text-generation
Additional Notes 
This gemma model was trained 2x faster with Unsloth and Huggingface's TRL library.
Supported Languages 
en (proficient)
LLM NameOpenchat 7B Galbaat Merged With Main
Repository 🤗https://huggingface.co/codingninja/openchat-7b-galbaat-merged-with-main 
Base Model(s)  openchat/openchat-3.5-0106-gemma   openchat/openchat-3.5-0106-gemma
Merged ModelYes
Model Size7b
Required VRAM17.1 GB
Updated2025-09-23
Maintainercodingninja
Model Typegemma
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   5.0 GB: 3-of-4   2.1 GB: 4-of-4
Supported Languagesen
Model ArchitectureGemmaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.41.2
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 codingninja/openchat-7b-galbaat-merged-with-main.

Rank the Openchat 7B Galbaat Merged With Main 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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