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Mera Mix 4x7B by meraGPT

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Mera Mix 4x7B is an open-source language model by meraGPT. Features: 24.2b LLM, VRAM: 48.3GB, Context: 32K, License: apache-2.0, MoE, HF Score: 75.9, LLM Explorer Score: 0.22, Arc: 73, HellaSwag: 89.2, MMLU: 64.4, TruthfulQA: 77.2, WinoGrande: 85.6, GSM8K: 66.1.

  Endpoints compatible   Mixtral   Model-index   Moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/meraGPT/mera-mix-4x7B 

Mera Mix 4x7B Benchmarks

MMLU Pro: 19.42
GPQA: 7.27
MUSR: 9.27
BBH: 17.49
IFEval: 48.32 vs 88 (so35)-45.1%
ARC: 72.95 vs 96.7 (so35)-24.6%
HellaSwag: 89.17 vs 95.3 (gpt4)-6.4%
MMLU: 64.44 vs 88.3 (so35)-27%
TruthfulQA: 77.17 vs 59 (gpt4)30.8%
WinoGrande: 85.64 vs 87.5 (gpt4)-2.1%
GSM8K: 66.11 vs 96.4 (so35)-31.4%
MATH Lvl 5: 5.36
LLME Score: 0.22291
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mera Mix 4x7B (meraGPT/mera-mix-4x7B)
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Mera Mix 4x7B Parameters and Internals

Model Type 
Mixture of Experts (MoE), text-generation
Additional Notes 
Can be used as a drop-in replacement for Mixtral-8x7B for faster inference.
LLM NameMera Mix 4x7B
Repository 🤗https://huggingface.co/meraGPT/mera-mix-4x7B 
Model Size24.2b
Required VRAM48.3 GB
Updated2026-04-08
MaintainermeraGPT
Model Typemixtral
Model Files  9.9 GB: 1-of-5   9.9 GB: 2-of-5   10.0 GB: 3-of-5   10.0 GB: 4-of-5   8.5 GB: 5-of-5
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.39.3
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32000
Torch Data Typebfloat16

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Proto Athena 4x7B32K / 48.4 GB50
Proto Athena V0.2 4x7B32K / 48.4 GB60
NeuralStar FusionWriter 4x7b32K / 48.3 GB249
Note: green Score (e.g. "73.2") means that the model is better than meraGPT/mera-mix-4x7B.

Rank the Mera Mix 4x7B 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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