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Magnum V2 12B by anthracite-org

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Base model:finetune:mistralai/... Base model:mistralai/mistral-n...   Chat   Conversational   De   En   Es   Fr   It   Ja   Mistral   Model-index   Pt   Region:us   Ru   Safetensors   Sharded   Tensorflow   Zh
Model Card on HF 🤗: https://huggingface.co/anthracite-org/magnum-v2-12b 

Magnum V2 12B Benchmarks

MMLU Pro: 24.08
GPQA: 5.48
MUSR: 11.37
BBH: 28.79
IFEval: 37.62 vs 88 (so35)-57.3%
MATH Lvl 5: 4.83
LLME Score: 0.32615
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Magnum V2 12B (anthracite-org/magnum-v2-12b)

Magnum V2 12B Parameters and Internals

Model Type 
text generation, chat
Supported Languages 
en (English), fr (French), de (German), es (Spanish), it (Italian), pt (Portuguese), ru (Russian), zh (Chinese), ja (Japanese)
Training Details 
Data Sources:
Stheno dataset (filtered), kalomaze/Opus_Instruct_25k, Nopm/Opus_WritingStruct, Gryphe/Sonnet3.5-SlimOrcaDedupCleaned, kalomaze/Opus_Instruct_3k
Data Volume:
~16k rows subset from Gryphe/Sonnet3.5-SlimOrcaDedupCleaned
Methodology:
Instruct tuned with ChatML formatting, fine-tuned for 2 epochs
Hardware Used:
8x NVIDIA H100 Tensor Core GPUs
LLM NameMagnum V2 12B
Repository 🤗https://huggingface.co/anthracite-org/magnum-v2-12b 
Base Model(s)  Mistral Nemo Base 2407   mistralai/Mistral-Nemo-Base-2407
Model Size12b
Required VRAM24.5 GB
Updated2024-12-21
Maintaineranthracite-org
Model Typemistral
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 fr de es it pt ru zh ja
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length1024000
Model Max Length1024000
Transformers Version4.44.0.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-v2-12b.

Rank the Magnum V2 12B 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217
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