Base model:finetune:interviten... Base model:intervitensinc/llam... Dataset:anthracite-core/full-o... Dataset:fourohfour/instruct ph... Dataset:fourohfour/rp phase Dataset:mielikki/erebus-87k En Instruct Mixtral Moe Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/AuraIndustries/Aura-MoE-2x4B
Aura MoE 2x4B Benchmarks
MMLU Pro: 18.33
GPQA: 2.91
MUSR: 9.83
BBH: 20.61
IFEval: 46.01 vs 88 (so35)-47.7%
MATH Lvl 5: 3.1
LLME Score: 0.26945
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 Parameters and Internals
| LLM Name | Aura MoE 2x4B |
| Repository 🤗 | https://huggingface.co/AuraIndustries/Aura-MoE-2x4B |
| Base Model(s) | |
| Model Size | 7.2b |
| Required VRAM | 14.5 GB |
| Updated | 2025-03-18 |
| Maintainer | AuraIndustries |
| Model Type | mixtral |
| Instruction-Based | Yes |
| 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 |
Rank the Aura MoE 2x4B 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! 🌟
What open-source LLMs or SLMs are you in search of? 46634 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227