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Slim Boolean by llmware

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  Autotrain compatible   Custom code   Pytorch   Region:us   Stablelm epoch
Model Card on HF 🤗: https://huggingface.co/llmware/slim-boolean 

Slim Boolean Benchmarks

LLME Score: 0.18386
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Slim Boolean (llmware/slim-boolean)

Slim Boolean Parameters and Internals

Model Type 
boolean question answering
Additional Notes 
Experimental model designed for boolean question answering.
Training Details 
Methodology:
Fine-tuned on top of llmware/bling-stable-lm-3b-4e1t-v0
Input Output 
Input Format:
A context passage, a yes-no question, optionally with '(explain)'.
Accepted Modalities:
text
Output Format:
Python dictionary with 'answer' and 'explanation' keys.
Performance Tips:
Use the 'quantized tool' version for fast inference.
LLM NameSlim Boolean
Repository 🤗https://huggingface.co/llmware/slim-boolean 
Model Size3b
Required VRAM5.6 GB
Updated2024-12-23
Maintainerllmware
Model Typestablelm_epoch
Model Files  5.6 GB
Model ArchitectureStableLMEpochForCausalLM
Licensecc-by-sa-4.0
Context Length4096
Model Max Length4096
Transformers Version4.33.2
Tokenizer ClassGPTNeoXTokenizer
Vocabulary Size50304
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than llmware/slim-boolean.

Rank the Slim Boolean 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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