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Magnum V4 12B by anthracite-org

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Magnum V4 12B is an open-source language model by anthracite-org. Features: 12b LLM, VRAM: 24.5GB, Context: 1000K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.24.

  Autotrain compatible   Chat   Conversational Dataset:anthracite-org/c2 logs... Dataset:anthracite-org/kalo-op... Dataset:anthracite-org/kalo-op... Dataset:anthracite-org/kalo mi... Dataset:anthracite-org/kalo op... Dataset:anthracite-org/nopm cl...   En   Endpoints compatible   Instruct   Mistral   Model-index   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/anthracite-org/magnum-v4-12b 

Magnum V4 12B Benchmarks

MMLU Pro: 28.93
GPQA: 6.15
MUSR: 10.36
BBH: 30.5
IFEval: 33.93 vs 88 (so35)-61.4%
MATH Lvl 5: 11.78
LLME Score: 0.24122
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)
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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 🤗https://huggingface.co/anthracite-org/magnum-v4-12b 
Model Size12b
Required VRAM24.5 GB
Updated2025-09-23
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

🆘 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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