What are the hardware requirements for TABPO Llama3.3 70B 3epoch?

TABPO Llama3.3 70B 3epoch requires approximately 141.9 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 TABPO Llama3.3 70B 3epoch and how large is it?

TABPO Llama3.3 70B 3epoch is developed by lm2445, 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 TABPO Llama3.3 70B 3epoch?

TABPO Llama3.3 70B 3epoch is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

TABPO Llama3.3 70B 3epoch by lm2445 — VRAM 141.9GB, 128K context

Name: TABPO Llama3.3 70B 3epoch
Author: lm2445

TABPO Llama3.3 70B 3epoch is an open-source language model by lm2445. Features: 70b LLM, VRAM: 141.9GB, Context: 128K, LLM Explorer Score: 0.23.

Arxiv:2603.00025 Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/lm2445/TABPO_llama3.3_70B_3epoch

TABPO Llama3.3 70B 3epoch Parameters and Internals

LLM Name	TABPO Llama3.3 70B 3epoch
Repository 🤗	https://huggingface.co/lm2445/TABPO_llama3.3_70B_3epoch
Model Size	70b
Required VRAM	141.9 GB
Updated	2026-08-07
Maintainer	lm2445
Model Type	llama
Model Files	4.6 GB: 1-of-30 4.7 GB: 2-of-30 5.0 GB: 3-of-30 5.0 GB: 4-of-30 4.7 GB: 5-of-30 4.7 GB: 6-of-30 4.7 GB: 7-of-30 5.0 GB: 8-of-30 5.0 GB: 9-of-30 4.7 GB: 10-of-30 4.7 GB: 11-of-30 4.7 GB: 12-of-30 5.0 GB: 13-of-30 5.0 GB: 14-of-30 4.7 GB: 15-of-30 4.7 GB: 16-of-30 4.7 GB: 17-of-30 5.0 GB: 18-of-30 5.0 GB: 19-of-30 4.7 GB: 20-of-30 4.7 GB: 21-of-30 4.7 GB: 22-of-30 5.0 GB: 23-of-30 5.0 GB: 24-of-30 4.7 GB: 25-of-30 4.7 GB: 26-of-30 4.7 GB: 27-of-30 5.0 GB: 28-of-30 5.0 GB: 29-of-30 2.1 GB: 30-of-30
Model Architecture	LlamaForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.51.3
Tokenizer Class	PreTrainedTokenizer
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the TABPO Llama3.3 70B 3epoch 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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