What are the hardware requirements for Qwen3 Coder 42B A3B Instruct TOTAL RECALL MASTER CODER M?

Qwen3 Coder 42B A3B Instruct TOTAL RECALL MASTER CODER M requires approximately 84.8 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.

Where can I download or evaluate Qwen3 Coder 42B A3B Instruct TOTAL RECALL MASTER CODER M?

Qwen3 Coder 42B A3B Instruct TOTAL RECALL MASTER CODER M is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 Coder 42B A3B Instruct TOTAL RECALL MASTER CODER M by DavidAU — VRAM 84.8GB, 256K context

Name: Qwen3 Coder 42B A3B Instruct TOTAL RECALL MASTER CODER M
Author: DavidAU

Qwen3 Coder 42B A3B Instruct TOTAL RECALL MASTER CODER M is an open-source language model by DavidAU. Features: 30b LLM, VRAM: 84.8GB, Context: 256K, License: apache-2.0, Instruction-Based, Code Generating, LLM Explorer Score: 0.19.

Arxiv:2401.02415 128 experts 256k context 8 active experts Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-coder-30... Brainstorm Brainstorm 20x Chat Code Code generation Codegen Codeqwen Coder Coding Conversational De En Endpoints compatible Finetuned Fr Instruct Mixture of experts Moe Optional thinking Qwen Qwen-coder Qwen2 Qwen3 Qwen3-30b-a3b Qwen3-coder-30b-a3b-instruct Qwen3 moe Region:us Safetensors Sharded Tensorflow Zh

Model Card on HF 🤗: https://huggingface.co/DavidAU/Qwen3-Coder-42B-A3B-Instruct-TOTAL-RECALL-MASTER-CODER-M

Qwen3 Coder 42B A3B Instruct TOTAL RECALL MASTER CODER M Parameters and Internals

LLM Name	Qwen3 Coder 42B A3B Instruct TOTAL RECALL MASTER CODER M
Repository 🤗	https://huggingface.co/DavidAU/Qwen3-Coder-42B-A3B-Instruct-TOTAL-RECALL-MASTER-CODER-M
Base Model(s)	Qwen3 Coder 30B A3B Instruct Qwen/Qwen3-Coder-30B-A3B-Instruct
Model Size	30b
Required VRAM	84.8 GB
Updated	2026-05-31
Maintainer	DavidAU
Model Type	qwen3_moe
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-17 5.0 GB: 2-of-17 5.0 GB: 3-of-17 5.0 GB: 4-of-17 5.0 GB: 5-of-17 5.0 GB: 6-of-17 5.0 GB: 7-of-17 5.0 GB: 8-of-17 5.0 GB: 9-of-17 5.0 GB: 10-of-17 5.0 GB: 11-of-17 5.0 GB: 12-of-17 5.0 GB: 13-of-17 5.0 GB: 14-of-17 5.0 GB: 15-of-17 5.0 GB: 16-of-17 4.8 GB: 17-of-17
Supported Languages	en fr zh de
Generates Code	Yes
Model Architecture	Qwen3MoeForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	4.52.0.dev0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen3 Coder 42B A3B Instruct TOTAL RECALL MASTER CODER M capabilities

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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 Qwen3 Coder 42B A3B Instruct TOTAL RECALL MASTER CODER M

Best Alternatives	Context / RAM	Downloads	Likes
...LL MASTER CODER M 1million Ctx	1024K / 84.8 GB	176	9
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 DavidAU/Qwen3-Coder-42B-A3B-Instruct-TOTAL-RECALL-MASTER-CODER-M.