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GEMMA2 27B NLI 16bit by 1024m

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GEMMA2 27B NLI 16bit is an open-source language model by 1024m. Features: 27b LLM, VRAM: 54.7GB, Context: 8K, License: apache-2.0, Quantized, LLM Explorer Score: 0.16.

  4bit   Autotrain compatible Base model:finetune:unsloth/ge... Base model:unsloth/gemma-2-27b...   En   Endpoints compatible   Gemma2   Quantized   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/1024m/GEMMA2-27B-NLI-16bit 

GEMMA2 27B NLI 16bit Benchmarks

LLME Score: 0.15992
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
GEMMA2 27B NLI 16bit (1024m/GEMMA2-27B-NLI-16bit)
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GEMMA2 27B NLI 16bit Parameters and Internals

Model Type 
text-generation-inference, transformers, trl, sft
Additional Notes 
This gemma2 model was trained 2x faster with Unsloth and Huggingface's TRL library.
Supported Languages 
en ()
Training Details 
Methodology:
Finetuned from model : unsloth/gemma-2-27b-bnb-4bit using Unsloth and Huggingface's TRL library
LLM NameGEMMA2 27B NLI 16bit
Repository 🤗https://huggingface.co/1024m/GEMMA2-27B-NLI-16bit 
Base Model(s)  Gemma 2 27B Bnb 4bit   unsloth/gemma-2-27b-bnb-4bit
Model Size27b
Required VRAM54.7 GB
Updated2025-09-14
Maintainer1024m
Model Typegemma2
Model Files  4.7 GB: 1-of-12   4.9 GB: 2-of-12   4.9 GB: 3-of-12   5.0 GB: 4-of-12   4.9 GB: 5-of-12   4.9 GB: 6-of-12   5.0 GB: 7-of-12   4.9 GB: 8-of-12   4.9 GB: 9-of-12   5.0 GB: 10-of-12   4.9 GB: 11-of-12   0.7 GB: 12-of-12
Supported Languagesen
Quantization Type4bit
Model ArchitectureGemma2ForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.44.0
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typebfloat16

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Gemma 2 27B Bnb 4bit8K / 15.8 GB54513
Gemma 2 27B It 4bit8K / 15.3 GB2318
Gemma 2 27B It 8bit8K / 28.8 GB9110
Gemma 2 27B 8bit8K / 28.8 GB172
Gemma 2 27B It 4bit8K / 15.8 GB03
Gemma 2 27B 4bit8K / 15.3 GB110
ATOMIS32K / 66 GB55
SystemGemma2 27B It32K / 54.7 GB961
Note: green Score (e.g. "73.2") means that the model is better than 1024m/GEMMA2-27B-NLI-16bit.

Rank the GEMMA2 27B NLI 16bit 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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