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Can the NVIDIA RTX 500 Ada Generation Laptop GPU run Skywork Reward V2 Qwen3 8B?

84Great quality (A) · 84 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 11/100 (quality, fit, speed and memory use) sets the ranking.

No, it doesn’t fit

No. Skywork Reward V2 Qwen3 8B needs about 10.5 GB even at Q8_0; the NVIDIA RTX 500 Ada Generation Laptop GPU has 4.0 GB usable.

Download Skywork Reward V2 Qwen3 8B

Original weights · Hugging Face

Full-precision files from Skywork, for Transformers, Sentence Transformers, Text Embeddings Inference, Infinity or vLLM.

huggingface.co/Skywork/Skywork-Reward-V2-Qwen3-8B (opens in a new tab)

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Links checked 7 hours ago against Hugging Face, Ollama and GitHub.

How it’s rated

Quality 84Great quality (A) · 84 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 11/100 (quality, fit, speed and memory use) sets the ranking.
How capable the model itself is at Q8_0, from its editorial quality tier scaled by the quantization or precision. It’s the same on any hardware that runs this variant. Scale: A+ 85+ · A 70+ · B 55+ · C 40+ · D under 40.
Runs Won't run
How well it runs on the NVIDIA RTX 500 Ada Generation Laptop GPU: speed, capped by how well it fits in memory. Runs great: 30+ tokens/s (or near the image, video or decision speed target) · Runs well: 10+ tokens/s · Slow: 3+ tokens/s · Very slow: under 3 · Won’t run: doesn’t fit even with offload. A tight fit or RAM offload caps it at Runs well; heavy offload caps it at Slow.

Match score

To order lists, each result also gets a match score out of 100 from four parts. It favors the most capable model that still runs well.

PrecisionEditorial precision tier from the model’s published benchmarks, scaled by the quantization or precision used.11.3 / 45
Memory fitFull marks when everything sits in GPU memory; fewer when part spills to system RAM.0.0 / 25
SpeedTime for one decision against a 100 ms target: reading the input plus any tokens the model writes.0.0 / 15
ClarityHow easy the answer is to use in code: a probability or score earns the most, written feedback before a score the least.0.0 / 15
Match score11.3 / 100

The match score orders results; it is not shown as a grade. Quality and Runs are the two ratings in the tables.

It doesn’t fit, so only a reduced share of the quality points counts and fit, speed and memory use score zero.

Every quantization on the NVIDIA RTX 500 Ada Generation Laptop GPU

Quant Memory needed Available Speed Runs Quality Download
Q8_0 10.5 GB 4.0 GB — Won't run 84Great quality (A) · 84 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 11/100 (quality, fit, speed and memory use) sets the ranking. All files (opens in a new tab)
F16 17.6 GB 4.0 GB — Won't run 84Great quality (A) · 84 of 100: how capable the model is at F16, whatever it runs on. Match score 11/100 (quality, fit, speed and memory use) sets the ranking. Original weights (opens in a new tab)

Times are for one request with a 1,024-token input. Batching servers process many requests at once.

Hardware that can run it

Models that do run on the NVIDIA RTX 500 Ada Generation Laptop GPU

Quick answers

How much memory does Skywork Reward V2 Qwen3 8B need on the NVIDIA RTX 500 Ada Generation Laptop GPU 4GB?

Even at Q8_0 it needs about 10.5 GB; the NVIDIA RTX 500 Ada Generation Laptop GPU 4GB has 4.0 GB usable.

What can the NVIDIA RTX 500 Ada Generation Laptop GPU 4GB run instead?

Jina Reranker v3.5, Jina Reranker v3 and FRIDA-Decisions run best on it; the page lists more, each with its speed.

What hardware can run Skywork Reward V2 Qwen3 8B?

NVIDIA RTX PRO 6000 Blackwell 96GB, RX 7900 XTX 24GB and RTX 5090 32GB run it; the page lists more, each with its speed.

Estimates come from published hardware specs and our open formulas, not from running the model on your machine. Real speed varies with runtime, drivers and settings. Numbers marked “Measured” come from a linked benchmark.

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