What are the hardware requirements for MoTCoder 15B V1.0?

MoTCoder 15B V1.0 requires approximately 30.9 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed MoTCoder 15B V1.0 and how large is it?

MoTCoder 15B V1.0 is developed by JingyaoLi, a model with 15b 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 MoTCoder 15B V1.0?

MoTCoder 15B V1.0 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

MoTCoder 15B V1.0 by JingyaoLi — VRAM 30.9GB

Name: MoTCoder 15B V1.0
Author: JingyaoLi

MoTCoder 15B V1.0 is an open-source language model by JingyaoLi. Features: 15b LLM, VRAM: 30.9GB, License: bigscience-openrail-m, Code Generating, LLM Explorer Score: 0.1.

Arxiv:2312.15960 Code Codegen Endpoints compatible Gpt bigcode Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/JingyaoLi/MoTCoder-15B-v1.0

MoTCoder 15B V1.0 Parameters and Internals

Model Type

Code generation

Additional Notes

MoTCoder focuses on improving task modularity through sub-modules for better code generation effectiveness.

LLM Name	MoTCoder 15B V1.0
Repository 🤗	https://huggingface.co/JingyaoLi/MoTCoder-15B-v1.0
Model Size	15b
Required VRAM	30.9 GB
Updated	2026-08-06
Maintainer	JingyaoLi
Model Type	gpt_bigcode
Model Files	5.0 GB: 1-of-7 4.9 GB: 2-of-7 4.9 GB: 3-of-7 4.9 GB: 4-of-7 4.9 GB: 5-of-7 4.9 GB: 6-of-7 1.4 GB: 7-of-7 0.0 GB
Generates Code	Yes
Model Architecture	GPTBigCodeForCausalLM
License	bigscience-openrail-m
Model Max Length	2048
Transformers Version	4.35.0
Tokenizer Class	GPT2Tokenizer
Padding Token	[PAD]
Vocabulary Size	49153
Torch Data Type	float16
Activation Function	gelu

Rank the MoTCoder 15B V1.0 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 MoTCoder 15B V1.0

Best Alternatives	Context / RAM	Downloads	Likes
WizardCoder Guanaco 15B V1.1	0K / 31 GB	52	12
WizardCoder Guanaco 15B V1.0	0K / 31 GB	55	5
WizardCoder 15B V1.0	0K / 31 GB	211	761
Interplay AppCoder	0K / 31.2 GB	10	2
Codes 15B Spider	0K / 62.1 GB	19	0
Codes 15B Bird With Evidence	0K / 62.1 GB	5	0
Ziya Coding 15B V1	0K / 31.1 GB	11	5
WizardCoderSQL 15B V1.0	0K / 31.2 GB	6	1
Codes 15B	0K / 62.1 GB	11	9
...zardCoder 15B V1.0 Sharded 8gb	0K / 62.2 GB	18	0

Note: green Score (e.g. "73.2") means that the model is better than JingyaoLi/MoTCoder-15B-v1.0.