Base model:finetune:interviten... Base model:intervitensinc/llam... Dataset:anthracite-core/full-o... Dataset:fourohfour/rp phase Dataset:jeiku/writing En Mixtral Moe Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/AuraIndustries/Aura-MoE-2x4B-v2
Aura MoE 2x4B V2 Benchmarks
MMLU Pro: 17.89
GPQA: 5.03
MUSR: 10.42
BBH: 20.8
IFEval: 47.78 vs 88 (so35)-45.7%
MATH Lvl 5: 3.17
LLME Score: 0.27931
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Aura MoE 2x4B V2 Parameters and Internals
| LLM Name | Aura MoE 2x4B V2 |
| Repository 🤗 | https://huggingface.co/AuraIndustries/Aura-MoE-2x4B-v2 |
| Base Model(s) | |
| Model Size | 7.2b |
| Required VRAM | 14.5 GB |
| Updated | 2025-03-18 |
| Maintainer | AuraIndustries |
| Model Type | mixtral |
| Model Files | |
| Supported Languages | en |
| Model Architecture | MixtralForCausalLM |
| License | apache-2.0 |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.47.0 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <|finetune_right_pad_id|> |
| Vocabulary Size | 128256 |
| Torch Data Type | bfloat16 |
Best Alternatives to Aura MoE 2x4B V2
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Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Aura MoE 2x4B | 128K / 14.5 GB | 8 | 0 |
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227