Gemma2bVinhntV01 by ntvcie

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  4bit Base model:quantized:unsloth/g... Base model:unsloth/gemma-2b-bn...   En   Endpoints compatible   Gemma   Gguf   Lora   Pytorch   Quantized   Region:us   Safetensors   Sharded   Trl   Unsloth

Gemma2bVinhntV01 Benchmarks

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

Gemma2bVinhntV01 Parameters and Internals

LLM NameGemma2bVinhntV01
Repository ๐Ÿค—https://huggingface.co/ntvcie/Gemma2bVinhntV01 
Base Model(s)  Gemma 2B Bnb 4bit   unsloth/gemma-2b-bnb-4bit
Model Size2b
Required VRAM5.1 GB
Updated2024-09-16
Maintainerntvcie
Model Files  5.0 GB   2.5 GB   5.0 GB: 1-of-2   0.1 GB: 2-of-2
Supported Languagesen
GGUF QuantizationYes
Quantization Type4bit|gguf
Model ArchitectureAutoModel
Licenseapache-2.0
Model Max Length8192
Is Biasednone
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesv_proj|down_proj|q_proj|o_proj|up_proj|k_proj|gate_proj
LoRA Alpha512
LoRA Dropout0
R Param512
Gemma2bVinhntV01 (ntvcie/Gemma2bVinhntV01)

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Jenna Gemma V01 Gguf 8bit0K / 2.7 GB91
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Note: green Score (e.g. "73.2") means that the model is better than ntvcie/Gemma2bVinhntV01.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803