What are the hardware requirements for Code Millenials 1B?

Code Millenials 1B requires approximately 2.8 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Code Millenials 1B and how large is it?

Code Millenials 1B is developed by budecosystem, a model with 1b 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 Code Millenials 1B?

Code Millenials 1B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Code Millenials 1B by budecosystem — VRAM 2.8GB

Name: Code Millenials 1B
Author: budecosystem

Code Millenials 1B is an open-source language model by budecosystem. Features: 1b LLM, VRAM: 2.8GB, LLM Explorer Score: 0.1.

Code Custom code Endpoints compatible Phi Pytorch Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/budecosystem/code-millenials-1b

Code Millenials 1B Parameters and Internals

Model Type

code generation

Additional Notes

Model may sometimes make errors or produce misleading results.

Training Details

Training Time:

6 hours

Hardware Used:

8 A100 80GB GPUs

Input Output

Input Format:

A chat between a curious user and an artificial intelligence assistant.

Accepted Modalities:

text

Output Format:

Text responses to coding related inquiries

Release Notes

Version:

Date:

2024-01-09

Notes:

Achieves 51.82 pass@1 on HumanEval Benchmarks

LLM Name	Code Millenials 1B
Repository 🤗	https://huggingface.co/budecosystem/code-millenials-1b
Model Size	1b
Required VRAM	2.8 GB
Updated	2026-07-25
Maintainer	budecosystem
Model Type	phi
Model Files	2.8 GB 2.8 GB
Model Architecture	PhiForCausalLM
Model Max Length	2048
Transformers Version	4.34.1
Tokenizer Class	CodeGenTokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	51200
Torch Data Type	float16
Activation Function	gelu_new

Rank the Code Millenials 1B 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

Best Alternatives to Code Millenials 1B

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MFANN Phigments Slerp 1B	2K / 5.6 GB	8	0

Note: green Score (e.g. "73.2") means that the model is better than budecosystem/code-millenials-1b.