What are the hardware requirements for Llama 3.3 70B Instruct V2 3d 4M 400K 0.1 Reverse Padzero 99 128D 1L 2H 512I?

Llama 3.3 70B Instruct V2 3d 4M 400K 0.1 Reverse Padzero 99 128D 1L 2H 512I requires a context window of 0.3K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Where can I download or evaluate Llama 3.3 70B Instruct V2 3d 4M 400K 0.1 Reverse Padzero 99 128D 1L 2H 512I?

Llama 3.3 70B Instruct V2 3d 4M 400K 0.1 Reverse Padzero 99 128D 1L 2H 512I 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 Instruct V2 3d 4M 400K 0.1 Reverse Padzero 99 128D 1L 2H 512I by arithmetic-circuit-overloading — 0.3K context

Name: Llama 3.3 70B Instruct V2 3d 4M 400K 0.1 Reverse Padzero 99 128D 1L 2H 512I
Author: arithmetic-circuit-overloading

Llama 3.3 70B Instruct V2 3d 4M 400K 0.1 Reverse Padzero 99 128D 1L 2H 512I is an open-source language model by arithmetic-circuit-overloading. Features: 70b LLM, Context: 0.3K, License: llama3.3, Instruction-Based, LLM Explorer Score: 0.23.

Base model:finetune:meta-llama... Base model:meta-llama/llama-3.... Endpoints compatible Generated from trainer Instruct Llama Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/arithmetic-circuit-overloading/Llama-3.3-70B-Instruct-v2-3d-4M-400K-0.1-reverse-padzero-99-128D-1L-2H-512I

Llama 3.3 70B Instruct V2 3d 4M 400K 0.1 Reverse Padzero 99 128D 1L 2H 512I Parameters and Internals

LLM Name	Llama 3.3 70B Instruct V2 3d 4M 400K 0.1 Reverse Padzero 99 128D 1L 2H 512I
Repository 🤗	https://huggingface.co/arithmetic-circuit-overloading/Llama-3.3-70B-Instruct-v2-3d-4M-400K-0.1-reverse-padzero-99-128D-1L-2H-512I
Base Model(s)	meta-llama/Llama-3.3-70B-Instruct meta-llama/Llama-3.3-70B-Instruct
Model Size	70b
Required VRAM	0 GB
Updated	2026-08-06
Maintainer	arithmetic-circuit-overloading
Model Type	llama
Instruction-Based	Yes
Model Files	0.0 GB 0.0 GB
Model Architecture	LlamaForCausalLM
License	llama3.3
Context Length	256
Model Max Length	256
Transformers Version	4.57.1
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<pad>
Vocabulary Size	22

Rank the Llama 3.3 70B Instruct V2 3d 4M 400K 0.1 Reverse Padzero 99 128D 1L 2H 512I capabilities

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Instruction Following and Task Automation
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Data Analysis and Insight Generation
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Multi-Language Support and Translation

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Note: green Score (e.g. "73.2") means that the model is better than arithmetic-circuit-overloading/Llama-3.3-70B-Instruct-v2-3d-4M-400K-0.1-reverse-padzero-99-128D-1L-2H-512I.