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Magnum V3 34B by anthracite-org

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Model Card on HF 🤗: https://huggingface.co/anthracite-org/magnum-v3-34b 

Magnum V3 34B Benchmarks

MMLU Pro: 41.69
GPQA: 14.77
MUSR: 6.57
BBH: 44.33
IFEval: 51.15 vs 88 (so35)-41.9%
MATH Lvl 5: 19.49
LLME Score: 0.28662
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Magnum V3 34B (anthracite-org/magnum-v3-34b)

Magnum V3 34B Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
Research, Chat applications
Additional Notes 
This is the 9th in a series of models designed to replicate the prose quality of the Claude 3 models.
Supported Languages 
English (High proficiency)
Training Details 
Data Sources:
anthracite-org/stheno-filtered-v1.1, anthracite-org/kalo-opus-instruct-22k-no-refusal, lodrick-the-lafted/NopmWritingStruct, Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned, Epiculous/SynthRP-Gens-v1.1-Filtered-n-Cleaned
Data Volume:
Not specified
Methodology:
Instruct tuned with ChatML formatting.
Training Time:
Number of epochs: 2
Hardware Used:
8x Nvidia H100 GPUs
Model Architecture:
AutoModelForCausalLM with transformers
Input Output 
Input Format:
ChatML formatting.
Accepted Modalities:
text
Output Format:
Text generation
Performance Tips:
A minimum 'p' value of 0.2 is recommended for optimal performance.
LLM NameMagnum V3 34B
Repository 🤗https://huggingface.co/anthracite-org/magnum-v3-34b 
Model Size34b
Required VRAM69.2 GB
Updated2025-04-28
Maintaineranthracite-org
Model Typellama
Model Files  4.8 GB: 1-of-15   4.8 GB: 2-of-15   5.0 GB: 3-of-15   4.8 GB: 4-of-15   4.8 GB: 5-of-15   5.0 GB: 6-of-15   4.8 GB: 7-of-15   4.8 GB: 8-of-15   5.0 GB: 9-of-15   4.8 GB: 10-of-15   4.8 GB: 11-of-15   5.0 GB: 12-of-15   4.8 GB: 13-of-15   4.8 GB: 14-of-15   1.2 GB: 15-of-15
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.44.0
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size64000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than anthracite-org/magnum-v3-34b.

Rank the Magnum V3 34B 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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Release v20241227
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