What are the hardware requirements for NeKo V0 Post Correction?

NeKo V0 Post Correction requires approximately 187.7 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed NeKo V0 Post Correction and how large is it?

NeKo V0 Post Correction is developed by nvidia, a model with 46.7b 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 NeKo V0 Post Correction?

NeKo V0 Post Correction is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

NeKo V0 Post Correction by nvidia — VRAM 187.7GB, 32K context

Name: NeKo V0 Post Correction
Author: nvidia

NeKo V0 Post Correction is an open-source language model by nvidia. Features: 46.7b LLM, VRAM: 187.7GB, Context: 32K, MoE, LLM Explorer Score: 0.13.

Arxiv:1910.09700 Conversational Endpoints compatible Mixtral Moe Nemo Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/nvidia/NeKo-v0-post-correction

NeKo V0 Post Correction Parameters and Internals

LLM Name	NeKo V0 Post Correction
Repository 🤗	https://huggingface.co/nvidia/NeKo-v0-post-correction
Model Size	46.7b
Required VRAM	187.7 GB
Updated	2026-08-08
Maintainer	nvidia
Model Type	mixtral
Model Files	4.9 GB: 1-of-39 4.9 GB: 2-of-39 4.9 GB: 3-of-39 4.9 GB: 4-of-39 4.9 GB: 5-of-39 4.9 GB: 6-of-39 4.9 GB: 7-of-39 4.9 GB: 8-of-39 4.9 GB: 9-of-39 4.9 GB: 10-of-39 4.9 GB: 11-of-39 5.0 GB: 12-of-39 4.8 GB: 13-of-39 4.9 GB: 14-of-39 4.9 GB: 15-of-39 4.9 GB: 16-of-39 4.9 GB: 17-of-39 4.9 GB: 18-of-39 4.9 GB: 19-of-39 4.9 GB: 20-of-39 4.9 GB: 21-of-39 4.9 GB: 22-of-39 4.9 GB: 23-of-39 4.9 GB: 24-of-39 4.9 GB: 25-of-39 4.9 GB: 26-of-39 4.9 GB: 27-of-39 4.9 GB: 28-of-39 4.9 GB: 29-of-39 4.9 GB: 30-of-39 4.9 GB: 31-of-39 4.9 GB: 32-of-39 4.9 GB: 33-of-39 4.9 GB: 34-of-39 4.9 GB: 35-of-39 4.9 GB: 36-of-39 5.0 GB: 37-of-39 4.8 GB: 38-of-39 1.5 GB: 39-of-39
Model Architecture	MixtralForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.40.2
Vocabulary Size	32002
Torch Data Type	float32

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Note: green Score (e.g. "73.2") means that the model is better than nvidia/NeKo-v0-post-correction.