Magnum V4 12B by anthracite-org

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Magnum V4 12B 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 12B (anthracite-org/magnum-v4-12b)

Magnum V4 12B Parameters and Internals

Model Type 
text-generation
Additional Notes 
Designed to replicate the prose quality of Claude 3 models, specifically Sonnet and Opus.
Training Details 
Data Sources:
anthracite-org/c2_logs_32k_llama3_qwen2_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
Methodology:
Fine-tuning
Context Length:
32768
Training Time:
2 epochs
Hardware Used:
8x H100 GPUs
Input Output 
Input Format:
Instruct format inside SillyTavern
Accepted Modalities:
text
Output Format:
Assistant message format
LLM NameMagnum V4 12B
Repository ๐Ÿค—https://huggingface.co/anthracite-org/magnum-v4-12b 
Model Size12b
Required VRAM24.5 GB
Updated2024-12-21
Maintaineranthracite-org
Model Typemistral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-5   4.9 GB: 2-of-5   4.9 GB: 3-of-5   4.9 GB: 4-of-5   4.9 GB: 5-of-5
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length1024000
Model Max Length1024000
Transformers Version4.45.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<pad>
Vocabulary Size131072
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than anthracite-org/magnum-v4-12b.

Rank the Magnum V4 12B 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