Replit CodeInstruct V3 by sahil2801

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Replit CodeInstruct V3 is an open-source language model by sahil2801. Features: 3b LLM, VRAM: 10.4GB, LLM Explorer Score: 0.08.

  Autotrain compatible   Custom code   Endpoints compatible   Mpt   Pytorch   Region:us   Sharded

Replit CodeInstruct V3 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Replit CodeInstruct V3 (sahil2801/Replit-CodeInstruct-v3)
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Replit CodeInstruct V3 Parameters and Internals

LLM NameReplit CodeInstruct V3
Repository ๐Ÿค—https://huggingface.co/sahil2801/Replit-CodeInstruct-v3 
Model Size3b
Required VRAM10.4 GB
Updated2025-09-26
Maintainersahil2801
Model Typempt
Model Files  10.0 GB: 1-of-2   0.4 GB: 2-of-2
Model ArchitectureMPTForCausalLM
Model Max Length2048
Transformers Version4.28.0
Tokenizer ClassReplitLMTokenizer
Padding Token<|pad|>
Vocabulary Size32768
Torch Data Typefloat32

Best Alternatives to Replit CodeInstruct V3

Best Alternatives
Context / RAM
Downloads
Likes
Replit Code V1.5 3B0K / 6.6 GB158312
Replit Code V1 3B0K / 10.4 GB833742
Sea Lion 3B0K / 6.4 GB77817
Code Millenials 3B0K / 5.2 GB151
SEA LION V1 3B0K / 6.4 GB10819
Mpt 3B 8K Instruct0K / 6.9 GB53
Glaive Function Calling V10K / 10.4 GB2875
...aive Function Calling V2 Small0K / 10.4 GB3815
Evol Replit V10K / 10.4 GB68
Replit V2 CodeInstruct 3B0K / 10.4 GB1571
Note: green Score (e.g. "73.2") means that the model is better than sahil2801/Replit-CodeInstruct-v3.

Rank the Replit CodeInstruct V3 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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Release v20260328a