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Gemma2b Quotes by dwb2023

 »  All LLMs  »  dwb2023  »  Gemma2b Quotes   URL Share it on

  12   
  Adapter   Base model:google/gemma-2b   Finetuned   Generated from trainer   License:gemma   Lora   Peft   Region:us   Safetensors   Sft   Tensorboard   Trl
Model Card on HF 🤗: https://huggingface.co/dwb2023/gemma2b_quotes 

Gemma2b Quotes Benchmarks

LLME Score: 0.19267
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gemma2b Quotes (dwb2023/gemma2b_quotes)

Gemma2b Quotes Parameters and Internals

Additional Notes 
The model is fine-tuned on an unknown dataset. It achieves a training loss of 2.1219 at the final step (step 50) and a validation loss of 2.7806.
LLM NameGemma2b Quotes
Repository 🤗https://huggingface.co/dwb2023/gemma2b_quotes 
Base Model(s)  Gemma 2B   google/gemma-2b
Model Size2b
Required VRAM0.1 GB
Updated2024-07-20
Maintainerdwb2023
Model Files  0.1 GB   0.0 GB
Model ArchitectureAdapter
Licensegemma
Is Biasednone
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesgate_proj|q_proj|v_proj|k_proj|up_proj|down_proj|o_proj
LoRA Alpha32
LoRA Dropout0
R Param16

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Note: green Score (e.g. "73.2") means that the model is better than dwb2023/gemma2b_quotes.

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Release v20241227
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