Bling Falcon 1B 0.1 by llmware

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  Arxiv:2306.01116   Autotrain compatible   Custom code   Falcon   Pytorch   Region:us

Bling Falcon 1B 0.1 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Bling Falcon 1B 0.1 (llmware/bling-falcon-1b-0.1)

Bling Falcon 1B 0.1 Parameters and Internals

Model Type 
GPTNeoX instruct-trained decoder
Use Cases 
Areas:
enterprise automation, financial services, legal and regulatory industries
Applications:
question-answering, key-value extraction, basic summarization
Primary Use Cases:
Provide high-quality Instruct models for local testing, Push the state of the art for smaller Instruct-following models
Additional Notes 
Designed to run on a CPU laptop without advanced quantization optimizations, useful for handling sensitive enterprise data locally.
Supported Languages 
English (High)
Training Details 
Methodology:
Instruct trained on top of a falcon-rw-1b base model
LLM NameBling Falcon 1B 0.1
Repository ๐Ÿค—https://huggingface.co/llmware/bling-falcon-1b-0.1 
Model Namebling-falcon-1b-0.1
Model Size1b
Required VRAM5.2 GB
Updated2025-02-05
Maintainerllmware
Model Typefalcon
Model Files  5.2 GB
Model ArchitectureFalconForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.33.2
Is Biased1
Tokenizer ClassGPT2Tokenizer
Vocabulary Size50304
Torch Data Typebfloat16

Best Alternatives to Bling Falcon 1B 0.1

Best Alternatives
Context / RAM
Downloads
Likes
Neuralfalcon 1B V12K / 2.8 GB13380
Falcon Rw 1B Chat2K / 2.6 GB15003
Falcon Rw 1B Instruct Openorca2K / 2.6 GB175411
Falcon 1b Stage22K / 2.6 GB44213
Falcon 1b Stage12K / 2.6 GB23570
Falcon 1b Stage32K / 2.6 GB220
Falcon 1b Stage3 22K / 2.6 GB130
INTERS Falcon 1B2K / 0.7 GB561
HelpingAI Lite Chat2K / 2.6 GB1294
Crow 1B Attempt12K / 5.3 GB1063
Note: green Score (e.g. "73.2") means that the model is better than llmware/bling-falcon-1b-0.1.

Rank the Bling Falcon 1B 0.1 Capabilities

๐Ÿ†˜ Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! ๐ŸŒŸ

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 v20241227