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Magnum V2 32B by anthracite-org

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  Autotrain compatible Base model:finetune:qwen/qwen1...   Base model:qwen/qwen1.5-32b   Chat   Conversational   En   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow   Zh

Magnum V2 32B Benchmarks

LLME Score: 0.27041
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Magnum V2 32B Parameters and Internals

LLM NameMagnum V2 32B
Repository 🤗https://huggingface.co/anthracite-org/magnum-v2-32b 
Base Model(s)  Qwen/Qwen1.5-32B   Qwen/Qwen1.5-32B
Model Size32b
Required VRAM64.6 GB
Updated2024-09-29
Maintaineranthracite-org
Model Typeqwen2
Model Files  4.9 GB: 1-of-14   4.8 GB: 2-of-14   4.8 GB: 3-of-14   4.8 GB: 4-of-14   4.8 GB: 5-of-14   4.8 GB: 6-of-14   4.8 GB: 7-of-14   4.8 GB: 8-of-14   4.8 GB: 9-of-14   4.8 GB: 10-of-14   4.8 GB: 11-of-14   4.8 GB: 12-of-14   4.8 GB: 13-of-14   2.1 GB: 14-of-14   0.0 GB   0.0 GB
Supported Languagesen zh
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.43.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace
Magnum V2 32B (anthracite-org/magnum-v2-32b)

Best Alternatives to Magnum V2 32B

Best Alternatives
Context / RAM
Downloads
Likes
Qwen2.5 32B128K / 65.5 GB481017
Qwen2.5 32B Instruct32K / 65.5 GB2791574
Qwen1.5 32B Chat32K / 65.5 GB10985106
Qwen2.5 32B AGI32K / 44.6 GB23740
Qwen1.5 32B32K / 65.5 GB1162580
EZO Qwen2.5 32B Instruct32K / 65.8 GB1752
BigQwen2.5 Echo 47B Instruct32K / 95.3 GB533
BigQwen2.5 52B Instruct32K / 105 GB1021
Magnum 32B V132K / 64.6 GB18727
Magnum 32B V232K / 64.6 GB19717
Note: green Score (e.g. "73.2") means that the model is better than anthracite-org/magnum-v2-32b.

Rank the Magnum V2 32B 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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Release v2024072803
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