Qwen3 42B A3B 2507 TOTAL RECALL V2 Medium MASTER CODER by DavidAU

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Qwen3 42B A3B 2507 TOTAL RECALL V2 Medium MASTER CODER Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3 42B A3B 2507 TOTAL RECALL V2 Medium MASTER CODER (DavidAU/Qwen3-42B-A3B-2507-TOTAL-RECALL-v2-Medium-MASTER-CODER)
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Qwen3 42B A3B 2507 TOTAL RECALL V2 Medium MASTER CODER Parameters and Internals

LLM NameQwen3 42B A3B 2507 TOTAL RECALL V2 Medium MASTER CODER
Repository ๐Ÿค—https://huggingface.co/DavidAU/Qwen3-42B-A3B-2507-TOTAL-RECALL-v2-Medium-MASTER-CODER 
Base Model(s)  Qwen3 30B A3B Instruct 2507   Qwen/Qwen3-30B-A3B-Instruct-2507
Model Size30b
Required VRAM84.8 GB
Updated2025-11-13
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
Model ArchitectureQwen3MoeForCausalLM
Licenseapache-2.0
Context Length262144
Model Max Length262144
Transformers Version4.52.0.dev0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than DavidAU/Qwen3-42B-A3B-2507-TOTAL-RECALL-v2-Medium-MASTER-CODER.

Rank the Qwen3 42B A3B 2507 TOTAL RECALL V2 Medium MASTER CODER 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124