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Gemma ChemWiz 16bit by dbands

 »  All LLMs  »  dbands  »  Gemma ChemWiz 16bit   URL Share it on

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  16bit   Dataset:ai-mo/numinamath-cot   Dataset:ai4chem/chemdata700k Dataset:andersonbcdefg/chemist... Dataset:medalpaca/medical mead...   Gemma   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/dbands/Gemma_ChemWiz_16bit 

Gemma ChemWiz 16bit Benchmarks

LLME Score: 0.21192
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gemma ChemWiz 16bit (dbands/Gemma_ChemWiz_16bit)

Gemma ChemWiz 16bit Parameters and Internals

Model Type 
text-generation-inference, transformers
Additional Notes 
This gemma model was trained 2x faster with Unsloth and Huggingface's TRL library.
Supported Languages 
en (high)
Training Details 
Data Sources:
AI-MO/NuminaMath-CoT, AI4Chem/ChemData700K, medalpaca/medical_meadow_mediqa, andersonbcdefg/chemistry
Methodology:
Fine-tuned on chemical memory and logical reasoning using datasets.
Release Notes 
Version:
2024-08-15
Date:
2024-08-15
Notes:
This is now the base model. The model with python RDKit training is created as Gemma_ChemWiz_rdkit_16bit.
Version:
2024-08-15
Date:
2024-08-15
Notes:
Splitting model today. This model will be the base ChemWiz Model.
Version:
2024-08-13
Date:
2024-08-13
Notes:
Second round of AI4Chem/ChemData700K, results of chemical smiles are very low.
Version:
2024-08-12
Date:
2024-08-12
Notes:
medalpaca/medical_meadow_mediqa dataset was used, model converged in less than one epoch.
Version:
2024-08-12
Date:
2024-08-12
Notes:
Fine-tuning on chemical memory rather than chemistry reasoning.
Version:
2024-08-09
Date:
2024-08-09
Notes:
Fine-tuned for logical reasoning, model still experimental.
LLM NameGemma ChemWiz 16bit
Repository 🤗https://huggingface.co/dbands/Gemma_ChemWiz_16bit 
Model Size8.5b
Required VRAM17.1 GB
Updated2025-01-20
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
Quantization Type16bit
Model ArchitectureGemmaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.44.0
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typebfloat16

Quantized Models of the Gemma ChemWiz 16bit

Model
Likes
Downloads
VRAM
Gemma ChemWiz Rdkit 16bit0817 GB

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Note: green Score (e.g. "73.2") means that the model is better than dbands/Gemma_ChemWiz_16bit.

Rank the Gemma ChemWiz 16bit Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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