Edge0/Edge0-145B-q3k
text-generation model by Edge0
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Model card & documentation
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Edge0-145B · Q3K Quality · Speed · Architecture · Quick start A 145B agent, running on one consumer GPU. 121.2 tok/s agent decode · 3554.9 tok/s 16K prefill · 86.5 terminal-bench 2.1. Throughput measured on RTX 5090 D 24 GB · Q3K. A latent sparse MoE: 48 layers, 512 experts, 10 active per token, 256K context, trained natively at 4 bits. This repository: Edge0-145B · Q3K ⓘ 145B Q3K was tested with a 16 GiB VRAM + 20 GiB host RAM budget on RTX 5090 D 24 GB. These are test limits, not minimum system requirements; see the speed table and residency figures below. Model overview Q3K · 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…
Read the full model card ↗ · Preview checked 2026-11-14T09:37:09.676Z
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Model overview
Edge0/Edge0-145B-q3k 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)
- 8,317
- Cumulative likes
- 53
- Hugging Face trending score
- 52
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- other
- Access
- Not gated by Hugging Face
- Created
- 2026-11-11T05:23:10.000Z
- Last modified
- 2026-11-13T12:55:22.000Z
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
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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.