WorldBuilder 12B by theprint

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WorldBuilder 12B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
WorldBuilder 12B (theprint/WorldBuilder-12B)

WorldBuilder 12B Parameters and Internals

LLM NameWorldBuilder 12B
Repository ๐Ÿค—https://huggingface.co/theprint/WorldBuilder-12B 
Base Model(s)  unsloth/mistral-nemo-base-2407-bnb-4bit   unsloth/mistral-nemo-base-2407-bnb-4bit
Model Size12b
Required VRAM24.5 GB
Updated2025-02-22
Maintainertheprint
Model Files  0.1 GB   4.9 GB: 1-of-5   4.9 GB: 2-of-5   4.9 GB: 3-of-5   4.9 GB: 4-of-5   4.9 GB: 5-of-5
Supported Languagesen
Quantization Type4bit
Model ArchitectureAutoModelForCausalLM
Licenseapache-2.0
Model Max Length1024000
Is Biasednone
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<pad>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesk_proj|q_proj|up_proj|down_proj|gate_proj|o_proj|v_proj
LoRA Alpha16
LoRA Dropout0
R Param8

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Note: green Score (e.g. "73.2") means that the model is better than theprint/WorldBuilder-12B.

Rank the WorldBuilder 12B Capabilities

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