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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 is an open-source language model by DavidAU. Features: 30b LLM, VRAM: 84.8GB, Context: 256K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.22.

  Arxiv:2401.02415   128 experts   256k context   8 active experts   Autotrain compatible Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-30b-a3b-...   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   Qwen3-30b-a3b-instruct-2507   Qwen3 moe   Region:us   Safetensors   Sharded   Tensorflow   Zh
Model Card on HF 🤗: https://huggingface.co/DavidAU/Qwen3-42B-A3B-2507-TOTAL-RECALL-v2-Medium-MASTER-CODER 

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

LLME Score: 0.22318
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 🤗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

Best Alternatives to Qwen3 42B A3B 2507 TOTAL RECALL V2 Medium MASTER CODER

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Context / RAM
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Qwen3 30B A3B YOYO V2986K / 61.1 GB875
Qwen3 30B A3B YOYO V3986K / 61.1 GB87
...07 YOYO2 TOTAL RECALL Instruct986K / 84.8 GB271
...07 YOYO2 TOTAL RECALL Instruct986K / 106 GB200
Qwen3 Coder 30B A3B Instruct256K / 61.1 GB459085877
Qwen3 30B A3B Instruct 2507256K / 61.1 GB1497250600
...wen3 30B A3B Instruct 2507 FP8256K / 31.2 GB13651375
...en3 Coder 30B A3B Instruct FP8256K / 31.2 GB8620691
Qwen3 30B A3B Instruct 2507256K / 61.1 GB1397913
Qwen3 Coder 30B A3B Instruct256K / 61.1 GB445217
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

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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