What are the hardware requirements for Vortex 9B CodeCore Merge?

Vortex 9B CodeCore Merge requires approximately 19.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Vortex 9B CodeCore Merge and how large is it?

Vortex 9B CodeCore Merge is developed by prithivMLmods, a model with 9b 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 Vortex 9B CodeCore Merge?

Vortex 9B CodeCore Merge is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Vortex 9B CodeCore Merge by prithivMLmods — VRAM 19.3GB

Name: Vortex 9B CodeCore Merge
Author: prithivMLmods

Vortex 9B CodeCore Merge is an open-source language model by prithivMLmods. Features: 9b LLM, VRAM: 19.3GB, License: apache-2.0, LLM Explorer Score: 0.31.

Agent Base model:jackrong/qwopus3.5-... Base model:merge:jackrong/qwop... Base model:merge:ornith-ai/orn... Base model:merge:qwen/qwen3.5-... Base model:merge:tokenrhythm/n... Base model:ornith-ai/ornith-1.... Base model:qwen/qwen3.5-9b Base model:tokenrhythm/neohors... Chain-of-thought Coder Conversational En Endpoints compatible Function-calling Image-text-to-text Merge Omnimergekit Pytorch Qwen3.5-9b Qwen3 5 Reasoning Region:us Safetensors Sft Sharded Tensorflow Tool-use

Model Card on HF 🤗: https://huggingface.co/prithivMLmods/Vortex-9B-CodeCore-Merge

Vortex 9B CodeCore Merge Parameters and Internals

LLM Name	Vortex 9B CodeCore Merge
Repository 🤗	https://huggingface.co/prithivMLmods/Vortex-9B-CodeCore-Merge
Base Model(s)	Qwen/Qwen3.5-9B NeoHorse 1 9B Jackrong/Qwopus3.5-9B-Coder ornith-ai/Ornith-1.5-9B Qwen/Qwen3.5-9B TokenRhythm/NeoHorse-1-9B Jackrong/Qwopus3.5-9B-Coder ornith-ai/Ornith-1.5-9B
Model Size	9b
Required VRAM	19.3 GB
Updated	2026-09-19
Maintainer	prithivMLmods
Model Type	qwen3_5
Model Files	5.4 GB: 1-of-4 5.4 GB: 2-of-4 5.4 GB: 3-of-4 3.1 GB: 4-of-4
Supported Languages	en
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	4.57.0.dev0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Vortex 9B CodeCore Merge 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 Vortex 9B CodeCore Merge

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.8 Distilled 9B NPU2	256K / GB	4037	4
Qwen3.5 9B	0K / 19.3 GB	12207758	1799
Ornith 1.0 9B	0K / 18.8 GB	1203961	544
Qwable 9B Claude Fable 5	0K / 18.8 GB	1088	115
Qwythos 9B Claude Mythos 5 1M	0K / 18.8 GB	37427	906
Negentropy Claude Opus 4.7 9B	0K / 18.8 GB	63	26
Qwen3.8 9B Distill	0K / 19.3 GB	5839	148
WeMM Embedding 9B	0K / 18.8 GB	2618	105
Qwythos 9B V2	0K / 19.3 GB	19208	156
Ornith 1.5 9B	0K / 18.9 GB	1324	120

Note: green Score (e.g. "73.2") means that the model is better than prithivMLmods/Vortex-9B-CodeCore-Merge.