What are the hardware requirements for Replit Code V1.5 3B?

Replit Code V1.5 3B requires approximately 6.6 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Replit Code V1.5 3B and how large is it?

Replit Code V1.5 3B is developed by replit, a model with 3b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Replit Code V1.5 3B?

Replit Code V1.5 3B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Replit Code V1.5 3B by replit — VRAM 6.6GB

Name: Replit Code V1.5 3B
Author: replit

Replit Code V1.5 3B is an open-source language model by replit. Features: 3b LLM, VRAM: 6.6GB, License: apache-2.0, LLM Explorer Score: 0.11.

Code Composer Custom code Dataset:bigcode/the-stack-dedu... Dataset:togethercomputer/redpa... Endpoints compatible Llm-foundry Mosaicml Mpt Pytorch Region:us Streamingdatasets

Model Card on HF 🤗: https://huggingface.co/replit/replit-code-v1_5-3b

Replit Code V1.5 3B Parameters and Internals

Model Type

Causal Language Model

Use Cases

Primary Use Cases:

Code completion

Limitations:

Pre-training dataset may have contained offensive or inappropriate content

Training Details

Data Sources:

Bigcode's Stack Dedup dataset, RedPajama's StackExchange dataset

Data Volume:

1T tokens of code

Context Length:

4096

Hardware Used:

128 H100-80GB GPUs

Input Output

Performance Tips:

Experiment with temperature and repetition_penalty for optimal performance

LLM Name	Replit Code V1.5 3B
Repository 🤗	https://huggingface.co/replit/replit-code-v1_5-3b
Model Size	3b
Required VRAM	6.6 GB
Updated	2026-06-22
Maintainer	replit
Model Type	mpt
Model Files	6.6 GB
Supported Languages	code
Model Architecture	MPTForCausalLM
License	apache-2.0
Model Max Length	4096
Transformers Version	4.33.3
Tokenizer Class	GPTNeoXTokenizer
Vocabulary Size	32768
Torch Data Type	bfloat16

Rank the Replit Code V1.5 3B capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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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