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Llama 3.3 70B Atlas9 Sdf V5 Balanced by jprivera44

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Llama 3.3 70B Atlas9 Sdf V5 Balanced is an open-source language model by jprivera44. Features: 70b LLM, VRAM: 216.2GB, Context: 128K, Instruction-Based, LLM Explorer Score: 0.29.

  Instruct   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/jprivera44/llama-3.3-70b-atlas9-sdf-v5-balanced 

Llama 3.3 70B Atlas9 Sdf V5 Balanced Benchmarks

LLME Score: 0.29043
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3.3 70B Atlas9 Sdf V5 Balanced (jprivera44/llama-3.3-70b-atlas9-sdf-v5-balanced)
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Llama 3.3 70B Atlas9 Sdf V5 Balanced Parameters and Internals

LLM NameLlama 3.3 70B Atlas9 Sdf V5 Balanced
Repository 🤗https://huggingface.co/jprivera44/llama-3.3-70b-atlas9-sdf-v5-balanced 
Model Size70b
Required VRAM216.2 GB
Updated2026-05-01
Maintainerjprivera44
Model Typellama
Instruction-BasedYes
Model Files  4.8 GB: 1-of-62   4.4 GB: 2-of-62   4.4 GB: 3-of-62   5.0 GB: 4-of-62   4.4 GB: 5-of-62   4.4 GB: 6-of-62   5.0 GB: 7-of-62   4.4 GB: 8-of-62   4.4 GB: 9-of-62   5.0 GB: 10-of-62   4.4 GB: 11-of-62   4.4 GB: 12-of-62   5.0 GB: 13-of-62   4.4 GB: 14-of-62   4.4 GB: 15-of-62   5.0 GB: 16-of-62   4.4 GB: 17-of-62   4.4 GB: 18-of-62   5.0 GB: 19-of-62   4.4 GB: 20-of-62   4.4 GB: 21-of-62   5.0 GB: 22-of-62   4.4 GB: 23-of-62   4.4 GB: 24-of-62   5.0 GB: 25-of-62   4.4 GB: 26-of-62   4.4 GB: 27-of-62   5.0 GB: 28-of-62   4.4 GB: 29-of-62   4.4 GB: 30-of-62   5.0 GB: 31-of-62   4.4 GB: 32-of-62   4.4 GB: 33-of-62   5.0 GB: 34-of-62   4.4 GB: 35-of-62   4.4 GB: 36-of-62   5.0 GB: 37-of-62   4.4 GB: 38-of-62   4.4 GB: 39-of-62   5.0 GB: 40-of-62   4.4 GB: 41-of-62   4.4 GB: 42-of-62   5.0 GB: 43-of-62   4.4 GB: 44-of-62   4.4 GB: 45-of-62   5.0 GB: 46-of-62   4.4 GB: 47-of-62
Model ArchitectureLlamaForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.46.3
Vocabulary Size128256
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than jprivera44/llama-3.3-70b-atlas9-sdf-v5-balanced.

Rank the Llama 3.3 70B Atlas9 Sdf V5 Balanced 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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