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Qwen3 Coder 42B A3B Instruct TOTAL RECALL MASTER CODER M 1million Ctx by DavidAU

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Qwen3 Coder 42B A3B Instruct TOTAL RECALL MASTER CODER M 1million Ctx is an open-source language model by DavidAU. Features: 30b LLM, VRAM: 84.8GB, Context: 1024K, License: apache-2.0, Instruction-Based, Code Generating, LLM Explorer Score: 0.21.

  Arxiv:2401.02415   1 million context   1000k context   128 experts   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-1million-ctx 

Qwen3 Coder 42B A3B Instruct TOTAL RECALL MASTER CODER M 1million Ctx Benchmarks

LLME Score: 0.21485
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3 Coder 42B A3B Instruct TOTAL RECALL MASTER CODER M 1million Ctx (DavidAU/Qwen3-Coder-42B-A3B-Instruct-TOTAL-RECALL-MASTER-CODER-M-1million-ctx)
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Qwen3 Coder 42B A3B Instruct TOTAL RECALL MASTER CODER M 1million Ctx Parameters and Internals

LLM NameQwen3 Coder 42B A3B Instruct TOTAL RECALL MASTER CODER M 1million Ctx
Repository 🤗https://huggingface.co/DavidAU/Qwen3-Coder-42B-A3B-Instruct-TOTAL-RECALL-MASTER-CODER-M-1million-ctx 
Base Model(s)  Qwen3 Coder 30B A3B Instruct   Qwen/Qwen3-Coder-30B-A3B-Instruct
Model Size30b
Required VRAM84.8 GB
Updated2026-04-18
MaintainerDavidAU
Model Typeqwen3_moe
Instruction-BasedYes
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 Languagesen fr zh de
Generates CodeYes
Model ArchitectureQwen3MoeForCausalLM
Licenseapache-2.0
Context Length1048576
Model Max Length1048576
Transformers Version4.52.0.dev0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Qwen3 30B A3B YOYO V3986K / 61.1 GB57
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Qwen3 30B A3B YOYO V2986K / 61.1 GB155
Qwen3 Coder 30B A3B Instruct256K / 61.1 GB11773291002
...en3 Coder 30B A3B Instruct FP8256K / 31.2 GB348201172
Qwen3 Coder 30B A3B Instruct256K / 61.1 GB612726
Qwen3 Coder REAP 25B A3B256K / 49.8 GB12978
... Instruct 480B Distill V2 Fp32256K / 122.2 GB36410
...TOTAL RECALL V2 MASTER CODER L256K / 106 GB4114
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-1million-ctx.

Rank the Qwen3 Coder 42B A3B Instruct TOTAL RECALL MASTER CODER M 1million Ctx 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  

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