Edge0/Edge0-145B-NVFP4
text-generation model by Edge0
From the publisher
Model card & documentation
Source previewRead the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.
Edge0-145B · NVFP4 Quality · Speed · Architecture · Quick start A 145B agent, running on one consumer GPU. 98.3 tok/s agent decode · 3165.7 tok/s 16K prefill · 86.5 terminal-bench 2.1. Throughput measured on RTX 5090 D 24 GB · NVFP4. A latent sparse MoE: 48 layers, 512 experts, 10 active per token, 256K context, trained natively at 4 bits. This repository: Edge0-145B · NVFP4 ⓘ With residency enabled, 145B NVFP4 used 23.25 GiB VRAM + 38.27 GiB host RAM on RTX 5090 D 24 GB. Model overview NVFP4 · RTX 5090 D 24 GB. Prefill throughput uses a 16K-token input; weight sizes are listed separately for each format. Quality Higher is better. Results are listed by model. Speed Throughput is shown in tok/s, grouped by hardware and build. The summary above uses NVFP4 on RTX 5090 D 24 GB. Full speed table · all reported machines and builds…
Read the full model card ↗ · Preview checked 2026-11-13T09:27:30.945Z
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Model overview
Edge0/Edge0-145B-NVFP4 is a text-generation model repository published by Edge0 on Hugging Face. The source reports the edge0 library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-generation
- Library
- edge0
- Recent downloads (30 days)
- 14,134
- Cumulative likes
- 213
- Hugging Face trending score
- 186
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- other
- Access
- Not gated by Hugging Face
- Created
- 2026-11-11T05:22:51.000Z
- Last modified
- 2026-11-13T14:37:59.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: Qwen/Qwen3.8-Flash-Next
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.
No model weights are downloaded or executed by AltAPIs. Never enable remote model code without reviewing it.
Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-14T06:56:53.534Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.