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WorldBuilder 7B by theprint

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  4bit   Autotrain compatible Base model:finetune:unsloth/mi... Base model:unsloth/mistral-7b-...   En   Endpoints compatible   Lora   Mistral   Quantized   Region:us   Safetensors   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/theprint/WorldBuilder-7B 

WorldBuilder 7B Benchmarks

LLME Score: 0.24019
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
WorldBuilder 7B (theprint/WorldBuilder-7B)

WorldBuilder 7B Parameters and Internals

LLM NameWorldBuilder 7B
Repository 🤗https://huggingface.co/theprint/WorldBuilder-7B 
Base Model(s)  unsloth/mistral-7b-v0.3-bnb-4bit   unsloth/mistral-7b-v0.3-bnb-4bit
Model Size7b
Required VRAM14.5 GB
Updated2024-12-22
Maintainertheprint
Model Files  0.2 GB   5.0 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
Quantization Type4bit
Model ArchitectureAutoModelForCausalLM
Licenseapache-2.0
Model Max Length32768
Is Biasednone
Tokenizer ClassLlamaTokenizer
Padding Token[control_768]
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesq_proj|gate_proj|k_proj|up_proj|o_proj|down_proj|v_proj
LoRA Alpha16
LoRA Dropout0
R Param16

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Context / RAM
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Likes
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Note: green Score (e.g. "73.2") means that the model is better than theprint/WorldBuilder-7B.

Rank the WorldBuilder 7B 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 v20241217
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