What are the hardware requirements for Llama 3.3 70B Atlas9 Sdf V5 Balanced?

Llama 3.3 70B Atlas9 Sdf V5 Balanced requires approximately 216.2 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama 3.3 70B Atlas9 Sdf V5 Balanced and how large is it?

Llama 3.3 70B Atlas9 Sdf V5 Balanced is developed by jprivera44, a model with 70b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Llama 3.3 70B Atlas9 Sdf V5 Balanced?

Llama 3.3 70B Atlas9 Sdf V5 Balanced is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3.3 70B Atlas9 Sdf V5 Balanced by jprivera44 — VRAM 216.2GB, 128K context

Name: Llama 3.3 70B Atlas9 Sdf V5 Balanced
Author: jprivera44

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: 0.23.

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 Parameters and Internals

LLM Name	Llama 3.3 70B Atlas9 Sdf V5 Balanced
Repository 🤗	https://huggingface.co/jprivera44/llama-3.3-70b-atlas9-sdf-v5-balanced
Model Size	70b
Required VRAM	216.2 GB
Updated	2026-07-24
Maintainer	jprivera44
Model Type	llama
Instruction-Based	Yes
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 Architecture	LlamaForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.46.3
Vocabulary Size	128256
Torch Data Type	float32

Rank the Llama 3.3 70B Atlas9 Sdf V5 Balanced capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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