What are the hardware requirements for Naps Llama3.1 70B V0.2 Fp16?

Naps Llama3.1 70B V0.2 Fp16 requires approximately 142.4 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 Naps Llama3.1 70B V0.2 Fp16 and how large is it?

Naps Llama3.1 70B V0.2 Fp16 is developed by NAPS-ai, 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 Naps Llama3.1 70B V0.2 Fp16?

Naps Llama3.1 70B V0.2 Fp16 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Naps Llama3.1 70B V0.2 Fp16 by NAPS-ai — VRAM 142.4GB, 128K context

Name: Naps Llama3.1 70B V0.2 Fp16
Author: NAPS-ai

Naps Llama3.1 70B V0.2 Fp16 is an open-source language model by NAPS-ai. Features: 70b LLM, VRAM: 142.4GB, Context: 128K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.16.

Base model:finetune:meta-llama... Base model:meta-llama/llama-3.... Fp16 Instruct Ko Llama Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/NAPS-ai/naps-llama3.1-70B-v0.2-fp16

Naps Llama3.1 70B V0.2 Fp16 Parameters and Internals

LLM Name	Naps Llama3.1 70B V0.2 Fp16
Repository 🤗	https://huggingface.co/NAPS-ai/naps-llama3.1-70B-v0.2-fp16
Base Model(s)	meta-llama/Llama-3.1-70B-Instruct meta-llama/Llama-3.1-70B-Instruct
Model Size	70b
Required VRAM	142.4 GB
Updated	2026-07-16
Maintainer	NAPS-ai
Model Type	llama
Instruction-Based	Yes
Model Files	4.6 GB: 1-of-30 4.7 GB: 2-of-30 5.0 GB: 3-of-30 4.6 GB: 4-of-30 4.7 GB: 5-of-30 4.7 GB: 6-of-30 5.0 GB: 7-of-30 4.6 GB: 8-of-30 4.7 GB: 9-of-30 4.7 GB: 10-of-30 5.0 GB: 11-of-30 4.6 GB: 12-of-30 4.7 GB: 13-of-30 4.7 GB: 14-of-30 5.0 GB: 15-of-30 4.6 GB: 16-of-30 4.7 GB: 17-of-30 4.7 GB: 18-of-30 5.0 GB: 19-of-30 4.6 GB: 20-of-30 4.7 GB: 21-of-30 4.7 GB: 22-of-30 5.0 GB: 23-of-30 4.6 GB: 24-of-30 4.7 GB: 25-of-30 4.7 GB: 26-of-30 5.0 GB: 27-of-30 4.6 GB: 28-of-30 4.7 GB: 29-of-30 4.8 GB: 30-of-30
Supported Languages	ko
Quantization Type	fp16
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.45.2
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	float16

Rank the Naps Llama3.1 70B V0.2 Fp16 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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