Magnum V4 22B by anthracite-org

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Magnum V4 22B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Magnum V4 22B (anthracite-org/magnum-v4-22b)

Magnum V4 22B Parameters and Internals

Model Type 
text-generation
Training Details 
Data Sources:
anthracite-org/c2_logs_32k_mistral-v3_v1.2_no_system, anthracite-org/kalo-opus-instruct-22k-no-refusal-no-system, anthracite-org/kalo-opus-instruct-3k-filtered-no-system, anthracite-org/nopm_claude_writing_fixed, anthracite-org/kalo_opus_misc_240827_no_system, anthracite-org/kalo_misc_part2_no_system
Context Length:
32768
Training Time:
2 epochs
Hardware Used:
8x H100s GPUs
LLM NameMagnum V4 22B
Repository ๐Ÿค—https://huggingface.co/anthracite-org/magnum-v4-22b 
Model Size22b
Required VRAM44.7 GB
Updated2024-12-22
Maintaineranthracite-org
Model Typemistral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-9   5.0 GB: 2-of-9   5.0 GB: 3-of-9   4.9 GB: 4-of-9   5.0 GB: 5-of-9   5.0 GB: 6-of-9   4.9 GB: 7-of-9   5.0 GB: 8-of-9   5.0 GB: 9-of-9
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.45.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32768
Torch Data Typebfloat16

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Rank the Magnum V4 22B 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 v20241217