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Ct2fast RedPajama INCITE Instruct 3B V1 by michaelfeil

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Ct2fast RedPajama INCITE Instruct 3B V1 is an open-source language model by michaelfeil. Features: 3b LLM, VRAM: 5.5GB, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.07.

  Ctranslate2 Dataset:muennighoff/natural-in...   Dataset:muennighoff/p3 Dataset:togethercomputer/redpa...   En   Endpoints compatible   Float16   Instruct   Int8   Region:us
Model Card on HF 🤗: https://huggingface.co/michaelfeil/ct2fast-RedPajama-INCITE-Instruct-3B-v1 

Ct2fast RedPajama INCITE Instruct 3B V1 Benchmarks

LLME Score: 0.07022
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Ct2fast RedPajama INCITE Instruct 3B V1 (michaelfeil/ct2fast-RedPajama-INCITE-Instruct-3B-v1)
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Ct2fast RedPajama INCITE Instruct 3B V1 Parameters and Internals

Model Type 
Language Model
Additional Notes 
This model is a quantized version for 2x-4x speedup in inference using int8. This is intended to have identical license conditions as the original model.
Supported Languages 
en (high)
Training Details 
Data Sources:
togethercomputer/RedPajama-Data-1T, Muennighoff/P3, Muennighoff/natural-instructions
Data Volume:
131M tokens
Methodology:
fine-tuned for few-shot applications
Hardware Used:
8 A100
LLM NameCt2fast RedPajama INCITE Instruct 3B V1
Repository 🤗https://huggingface.co/michaelfeil/ct2fast-RedPajama-INCITE-Instruct-3B-v1 
Model Size3b
Required VRAM5.5 GB
Updated2026-05-25
Maintainermichaelfeil
Instruction-BasedYes
Model Files  5.5 GB
Supported Languagesen
Model ArchitectureAutoModel
Licenseapache-2.0
Model Max Length2048
Tokenizer ClassGPTNeoXTokenizer

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Note: green Score (e.g. "73.2") means that the model is better than michaelfeil/ct2fast-RedPajama-INCITE-Instruct-3B-v1.

Rank the Ct2fast RedPajama INCITE Instruct 3B V1 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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