Gemma 2 2B It Heisenberg by dhanush-radhakrishna

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  Arxiv:1910.09700   Autotrain compatible   Conversational   Endpoints compatible   Gemma2   Lora   Region:us   Safetensors   Sharded   Tensorflow

Gemma 2 2B It Heisenberg Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gemma 2 2B It Heisenberg (dhanush-radhakrishna/gemma-2-2b-it-Heisenberg)
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Gemma 2 2B It Heisenberg Parameters and Internals

LLM NameGemma 2 2B It Heisenberg
Repository ๐Ÿค—https://huggingface.co/dhanush-radhakrishna/gemma-2-2b-it-Heisenberg 
Model Size2b
Required VRAM5.2 GB
Updated2025-07-02
Maintainerdhanush-radhakrishna
Model Files  2.4 GB   5.0 GB: 1-of-2   0.2 GB: 2-of-2
Model ArchitectureAutoModelForCausalLM
Is Biasednone
Tokenizer ClassGemmaTokenizer
Padding Token<|im_end|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesdown_proj|up_proj|gate_proj|v_proj|o_proj|k_proj|q_proj
LoRA Alpha32
LoRA Dropout0.05
R Param16

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Note: green Score (e.g. "73.2") means that the model is better than dhanush-radhakrishna/gemma-2-2b-it-Heisenberg.

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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  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124