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Magnum V2 4B by anthracite-org

 »  All LLMs  »  anthracite-org  »  Magnum V2 4B   URL Share it on

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Base model:finetune:nvidia/lla... Base model:nvidia/llama-3.1-mi...   Chat   Conversational   En   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/anthracite-org/magnum-v2-4b 

Magnum V2 4B Benchmarks

LLME Score: 0.18953
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Magnum V2 4B (anthracite-org/magnum-v2-4b)
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Magnum V2 4B Parameters and Internals

Model Type 
text-generation
Additional Notes 
This is the eighth model in a series designed to replicate the prose quality of the Claude 3 models, specifically Sonnet and Opus.
Supported Languages 
en (proficient)
Training Details 
Data Sources:
anthracite-org/Gryphe-3.5-16k-Subset, Epiculous/Synthstruct-Gens-v1-Filtered-n-Cleaned, anthracite-org/Stheno-Data-Filtered, Epiculous/SynthRP-Gens-v1-Filtered-n-Cleaned, lodrick-the-lafted/NopmWritingStruct, anthracite-org/kalo-opus-instruct-22k-no-refusal
Context Length:
16384
Hardware Used:
2 x RTX 6000s
Input Output 
Input Format:
ChatML formatting
Accepted Modalities:
text
Output Format:
text
LLM NameMagnum V2 4B
Repository 🤗https://huggingface.co/anthracite-org/magnum-v2-4b 
Base Model(s)  nvidia/Llama-3.1-Minitron-4B-Width-Base   nvidia/Llama-3.1-Minitron-4B-Width-Base
Model Size4b
Required VRAM9 GB
Updated2025-07-16
Maintaineranthracite-org
Model Typellama
Model Files  5.0 GB: 1-of-2   4.0 GB: 2-of-2
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.45.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than anthracite-org/magnum-v2-4b.

Rank the Magnum V2 4B 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 v20241124
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