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Gemma 2B Sauerkraut Gguf Chunked by BoscoTheDog

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Gemma 2B Sauerkraut Gguf Chunked is an open-source language model by BoscoTheDog. Features: 2b LLM, VRAM: 0.1GB, Context: 8K, Quantized, LLM Explorer Score: 0.14.

  Endpoints compatible   Gemma   Gguf   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/BoscoTheDog/gemma_2b_sauerkraut_gguf_chunked 

Gemma 2b Sauerkraut Gguf Chunked Benchmarks

LLME Score: 0.13842
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gemma 2B Sauerkraut Gguf Chunked (BoscoTheDog/gemma_2b_sauerkraut_gguf_chunked)
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Gemma 2B Sauerkraut Gguf Chunked Parameters and Internals

LLM NameGemma 2b Sauerkraut Gguf Chunked
Repository 🤗https://huggingface.co/BoscoTheDog/gemma_2b_sauerkraut_gguf_chunked 
Model Size2b
Required VRAM0.1 GB
Updated2026-05-07
MaintainerBoscoTheDog
Model Typegemma
Model Files  0.5 GB: 1-of-4   0.5 GB: 2-of-4   0.5 GB: 3-of-4   0.1 GB: 4-of-4   1.6 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureGemmaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.39.0.dev0
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typebfloat16

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GemSUra Edu8K / 5 GB440
Note: green Score (e.g. "73.2") means that the model is better than BoscoTheDog/gemma_2b_sauerkraut_gguf_chunked.

Rank the Gemma 2B Sauerkraut Gguf Chunked 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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