What are the hardware requirements for Codes 15B Spider?

Codes 15B Spider requires approximately 62.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Codes 15B Spider and how large is it?

Codes 15B Spider is developed by seeklhy, 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 Codes 15B Spider?

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

Codes 15B Spider by seeklhy — VRAM 62.1GB

Name: Codes 15B Spider
Author: seeklhy

Codes 15B Spider is an open-source language model by seeklhy. Features: 15b LLM, VRAM: 62.1GB, Code Generating, LLM Explorer Score: 0.09.

Codegen Endpoints compatible Gpt bigcode Pytorch Region:us Sharded

Model Card on HF 🤗: https://huggingface.co/seeklhy/codes-15b-spider

Codes 15B Spider Parameters and Internals

LLM Name	Codes 15B Spider
Repository 🤗	https://huggingface.co/seeklhy/codes-15b-spider
Model Size	15b
Required VRAM	62.1 GB
Updated	2026-07-25
Maintainer	seeklhy
Model Type	gpt_bigcode
Model Files	9.9 GB: 1-of-7 9.9 GB: 2-of-7 9.8 GB: 3-of-7 9.9 GB: 4-of-7 9.8 GB: 5-of-7 9.9 GB: 6-of-7 2.9 GB: 7-of-7
Generates Code	Yes
Model Architecture	GPTBigCodeForCausalLM
Transformers Version	4.32.0
Tokenizer Class	GPT2Tokenizer
Vocabulary Size	49152
Torch Data Type	float32
Activation Function	gelu

Rank the Codes 15B Spider 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 Codes 15B Spider

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
MoTCoder 15B V1.0	0K / 30.9 GB	26	2
WizardCoder 15B V1.0	0K / 31 GB	211	761
Interplay AppCoder	0K / 31.2 GB	10	2
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 seeklhy/codes-15b-spider.