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Llama 3 IMPACTS 2x8B 64K MLX by Severian

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Model Card on HF 🤗: https://huggingface.co/Severian/Llama-3-IMPACTS-2x8B-64k-MLX 

Llama 3 IMPACTS 2x8B 64K MLX Benchmarks

LLME Score: 0.15303
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3 IMPACTS 2x8B 64K MLX (Severian/Llama-3-IMPACTS-2x8B-64k-MLX)
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Llama 3 IMPACTS 2x8B 64K MLX Parameters and Internals

Model Type 
text-generation
Supported Languages 
en (high)
Training Details 
Data Sources:
I.M.P.A.C.T. dataset
Data Volume:
35,000 examples
Context Length:
64000
Model Architecture:
Llama-3
LLM NameLlama 3 IMPACTS 2x8B 64K MLX
Repository 🤗https://huggingface.co/Severian/Llama-3-IMPACTS-2x8B-64k-MLX 
Required VRAM27.4 GB
Updated2025-09-23
MaintainerSeverian
Model Typemixtral
Model Files  5.3 GB: 1-of-6   5.3 GB: 2-of-6   5.3 GB: 3-of-6   5.3 GB: 4-of-6   5.1 GB: 5-of-6   1.1 GB: 6-of-6
Supported Languagesen
Model ArchitectureMixtralForCausalLM
Licensemit
Context Length65536
Model Max Length65536
Transformers Version4.41.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|begin_of_text|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Severian/Llama-3-IMPACTS-2x8B-64k-MLX.

Rank the Llama 3 IMPACTS 2x8B 64K MLX Capabilities

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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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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