What are the hardware requirements for Securecoder 30B Pro V3 Merged?

Securecoder 30B Pro V3 Merged requires approximately 61.2 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Securecoder 30B Pro V3 Merged and how large is it?

Securecoder 30B Pro V3 Merged is developed by Taimwe, a model with 30b 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 Securecoder 30B Pro V3 Merged?

Securecoder 30B Pro V3 Merged is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Securecoder 30B Pro V3 Merged by Taimwe — VRAM 61.2GB, 256K context

Name: Securecoder 30B Pro V3 Merged
Author: Taimwe

Securecoder 30B Pro V3 Merged is an open-source language model by Taimwe. Features: 30b LLM, VRAM: 61.2GB, Context: 256K, License: apache-2.0, Instruction-Based, Code Generating, LLM Explorer Score: 0.29.

Base model:finetune:unsloth/qw... Base model:unsloth/qwen3-coder... Code Codegen Conversational Cybersecurity Endpoints compatible Finetuned Instruct Qwen3 Qwen3 moe Region:us Safetensors Securecoder Security Sharded Tensorflow Tool-calling Unsloth

Model Card on HF 🤗: https://huggingface.co/Taimwe/securecoder-30b-pro-v3-merged

Securecoder 30B Pro V3 Merged Parameters and Internals

LLM Name	Securecoder 30B Pro V3 Merged
Repository 🤗	https://huggingface.co/Taimwe/securecoder-30b-pro-v3-merged
Model Name	unsloth/Qwen3-Coder-30B-A3B-Instruct
Base Model(s)	Qwen3 Coder 30B A3B Instruct unsloth/Qwen3-Coder-30B-A3B-Instruct
Model Size	30b
Required VRAM	61.2 GB
Updated	2026-10-08
Maintainer	Taimwe
Model Type	qwen3_moe
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-13 5.0 GB: 2-of-13 5.0 GB: 3-of-13 5.0 GB: 4-of-13 5.0 GB: 5-of-13 5.0 GB: 6-of-13 5.0 GB: 7-of-13 5.0 GB: 8-of-13 5.0 GB: 9-of-13 5.0 GB: 10-of-13 5.0 GB: 11-of-13 5.0 GB: 12-of-13 1.2 GB: 13-of-13
Generates Code	Yes
Model Architecture	Qwen3MoeForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	5.5.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Vocabulary Size	151936
Errors	replace

Rank the Securecoder 30B Pro V3 Merged 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 Securecoder 30B Pro V3 Merged

Best Alternatives	Context / RAM	Downloads	Likes
...LL MASTER CODER M 1million Ctx	1024K / 84.8 GB	160	11
Qwen3 30B A3B YOYO V3	986K / 61.1 GB	11	7
...07 YOYO2 TOTAL RECALL Instruct	986K / 84.8 GB	27	1
...07 YOYO2 TOTAL RECALL Instruct	986K / 106 GB	20	0
Qwen3 30B A3B YOYO V2	986K / 61.1 GB	19	4
Qwen3 Coder 30B A3B Instruct	256K / 61.1 GB	1746771	1168
...en3 Coder 30B A3B Instruct FP8	256K / 31.2 GB	1556690	191
Tiny Pickle V3 Coder	256K / 61.2 GB	64	0
Qwen3 Coder 30B A3B Instruct	256K / 61.1 GB	9034	27
Qwen3 Coder REAP 25B A3B	256K / 49.8 GB	579	88

Note: green Score (e.g. "73.2") means that the model is better than Taimwe/securecoder-30b-pro-v3-merged.