Gemma ChemWiz Rdkit 16bit by dbands

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  16bit   Autotrain compatible Base model:dbands/gemma chemwi... Base model:finetune:dbands/gem...   Chemistry   Dataset:dbands/chemistrycoder   En   Endpoints compatible   Gemma   Quantized   Region:us   Safetensors   Sharded   Tensorflow   Trl   Unsloth

Gemma ChemWiz Rdkit 16bit Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gemma ChemWiz Rdkit 16bit (dbands/Gemma_ChemWiz_rdkit_16bit)

Gemma ChemWiz Rdkit 16bit Parameters and Internals

Model Type 
text-generation
Additional Notes 
Finetuned from model: dbands/Gemma_ChemWiz_16bit
Supported Languages 
en (proficient)
Training Details 
Methodology:
Training with Unsloth and Huggingface's TRL library
Training Time:
2x faster training with Unsloth
LLM NameGemma ChemWiz Rdkit 16bit
Repository ๐Ÿค—https://huggingface.co/dbands/Gemma_ChemWiz_rdkit_16bit 
Base Model(s)  Gemma ChemWiz 16bit   dbands/Gemma_ChemWiz_16bit
Model Size8.5b
Required VRAM17.1 GB
Updated2025-03-12
Maintainerdbands
Model Typegemma
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   5.0 GB: 3-of-4   2.1 GB: 4-of-4
Supported Languagesen
Quantization Type16bit
Model ArchitectureGemmaForCausalLM
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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Note: green Score (e.g. "73.2") means that the model is better than dbands/Gemma_ChemWiz_rdkit_16bit.

Rank the Gemma ChemWiz Rdkit 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227