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Google Codegemma 2B AWQ 4bit Smashed by PrunaAI

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  4-bit   4bit   Autotrain compatible   Awq   Base model:google/codegemma-2b Base model:quantized:google/co...   Endpoints compatible   Gemma   Pruna-ai   Quantized   Region:us   Safetensors

Google Codegemma 2B AWQ 4bit Smashed Benchmarks

LLME Score: 0.21306
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Google Codegemma 2B AWQ 4bit Smashed Parameters and Internals

LLM NameGoogle Codegemma 2B AWQ 4bit Smashed
Repository 🤗https://huggingface.co/PrunaAI/google-codegemma-2b-AWQ-4bit-smashed 
Base Model(s)  Codegemma 2B   google/codegemma-2b
Model Size2b
Required VRAM3.1 GB
Updated2024-09-16
MaintainerPrunaAI
Model Typegemma
Model Files  3.1 GB
AWQ QuantizationYes
Quantization Typeawq|4bit
Model ArchitectureGemmaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.40.0
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typefloat16
Google Codegemma 2B AWQ 4bit Smashed (PrunaAI/google-codegemma-2b-AWQ-4bit-smashed)

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Note: green Score (e.g. "73.2") means that the model is better than PrunaAI/google-codegemma-2b-AWQ-4bit-smashed.

Rank the Google Codegemma 2B AWQ 4bit Smashed Capabilities

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Release v2024072803
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