Bling Red Pajamas 3B 0.1 by llmware

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  Autotrain compatible   Fp16   Gpt neox   Pytorch   Quantized   Region:us

Bling Red Pajamas 3B 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 Red Pajamas 3B 0.1 (llmware/bling-red-pajamas-3b-0.1)

Bling Red Pajamas 3B 0.1 Parameters and Internals

Model Type 
GPTNeoX, instruct-trained, decoder
Use Cases 
Areas:
enterprise automation, RAG scenarios
Applications:
question-answering, key-value extraction, basic summarization
Primary Use Cases:
enterprise automation in knowledge-intensive industries, rapid prototyping, local end-to-end workflow without Internet-based API
Supported Languages 
English (NLP)
Training Details 
Methodology:
Fine-tuned with distilled high-quality custom instruct datasets, targeted at a specific subset of instruct tasks.
Model Architecture:
GPTNeoX instruct-trained decoder
Input Output 
Input Format:
Two sub-parts: 1. Text Passage Context, 2. Specific question or instruction
Performance Tips:
Wrap inference entries: \: my_prompt \n \:; For HuggingFace: set temperature at 0.3, max_new_tokens at 100
LLM NameBling Red Pajamas 3B 0.1
Repository ๐Ÿค—https://huggingface.co/llmware/bling-red-pajamas-3b-0.1 
Model Namebling-red-pajamas-3b-0.1
Model Size3b
Required VRAM5.5 GB
Updated2025-02-05
Maintainerllmware
Model Typegpt_neox
Model Files  5.5 GB
Quantization Typefp16
Model ArchitectureGPTNeoXForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.28.1
Tokenizer ClassGPTNeoXTokenizer
Vocabulary Size50432
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than llmware/bling-red-pajamas-3b-0.1.

Rank the Bling Red Pajamas 3B 0.1 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 v20241227