NVIDIA · Ada Lovelace · 8 GB VRAM tier
Best AI Models for NVIDIA RTX 3000 Ada Generation Laptop GPU (8 GB)
Runs 7–9B models well; 14B doesn't fit in 8 GB.
8 GB GDDR6256 GB/s80 TFLOPS FP16140 WAda Lovelace 2023
8 GB limits it to ~7-8B Q4 models even though the chip is fast. Power limit varies by chassis.
| # | Model | Speed | llmrun Score | Quant · VRAM |
|---|---|---|---|---|
| 1 | Qwen3.5 9BAlibabaHow to run → Q4_K_M · 6.6 GB · 26.2 t/s | 26.2 tok/s | Q4_K_M · 6.6 GB | |
| 2 | Qwen3.5 4BAlibaba Q4_K_M · 3.4 GB · 51.0 t/s | 51.0 tok/s | Q4_K_M · 3.4 GB | |
| 3 | Gemma 2 9B ITGoogle Q4_K_M · 7.3 GB · 27.3 t/s | 27.3 tok/s | Q4_K_M · 7.3 GB | |
| 4 | Gemma 3 4B ITGoogle Q4_K_M · 5.0 GB · 58.6 t/s | 58.6 tok/s | Q4_K_M · 5.0 GB | |
| 5 | Ling 3.0 TinyInclusion AI Q4_K_M · 5.5 GB · 144 t/s | 144 tok/s | Q4_K_M · 5.5 GB |
| # | Model | Speed | Reasoning Score | Quant · VRAM |
|---|---|---|---|---|
| 1 | Qwen3.5 9BAlibabaHow to run → Q4_K_M · 6.6 GB · 26.2 t/s | 26.2 tok/s | Q4_K_M · 6.6 GB | |
| 2 | Gemma 3 4B ITGoogle Q4_K_M · 5.0 GB · 58.6 t/s | 58.6 tok/s | Q4_K_M · 5.0 GB | |
| 3 | Qwen2.5 7B InstructAlibaba Q4_K_M · 5.8 GB · 33.3 t/s | 33.3 tok/s | Q4_K_M · 5.8 GB | |
| 4 | Gemma 2 9B ITGoogle Q4_K_M · 7.3 GB · 27.3 t/s | 27.3 tok/s | overall | Q4_K_M · 7.3 GB |
| 5 | Ling 3.0 TinyInclusion AI Q4_K_M · 5.5 GB · 144 t/s | 144 tok/s | Q4_K_M · 5.5 GB |
| # | Model | Speed | Long context Score | Quant · VRAM |
|---|---|---|---|---|
| 1 | Qwen3.5 4BAlibabaHow to run → Q4_K_M · 3.4 GB · 51.0 t/s | 51.0 tok/s | Q4_K_M · 3.4 GB | |
| 2 | Qwen3.5 9BAlibaba Q4_K_M · 6.6 GB · 26.2 t/s | 26.2 tok/s | Q4_K_M · 6.6 GB | |
| 3 | Ling 3.0 TinyInclusion AI Q4_K_M · 5.5 GB · 144 t/s | 144 tok/s | Q4_K_M · 5.5 GB | |
| 4 | Gemma 4 E4B ITGoogle Q4_K_M · 5.6 GB · 31.3 t/s | 31.3 tok/s | Q4_K_M · 5.6 GB | |
| 5 | Spark X2.6 4BXHToken Q4_K_M · 4.3 GB · 56.2 t/s | 56.2 tok/s | Q4_K_M · 4.3 GB |
| # | Model | Speed ↓ | llmrun Score | Quant · VRAM |
|---|---|---|---|---|
| 1 | Qwen3.5 4BAlibabaHow to run → Q4_K_M · 3.4 GB · 51.0 t/s | 51.0 tok/s | Q4_K_M · 3.4 GB | |
| 2 | Ling 3.0 TinyInclusion AI Q4_K_M · 5.5 GB · 144 t/s | 144 tok/s | Q4_K_M · 5.5 GB | |
| 3 | Gemma 4 E4B ITGoogle Q4_K_M · 5.6 GB · 31.3 t/s | 31.3 tok/s | Q4_K_M · 5.6 GB | |
| 4 | Q4_K_M · 6.5 GB · 26.8 t/s | 26.8 tok/s | Q4_K_M · 6.5 GB | |
| 5 | Qwen3.5 9BAlibaba Q4_K_M · 6.6 GB · 26.2 t/s | 26.2 tok/s | Q4_K_M · 6.6 GB |
| # | Model | Speed | Vision Score | Quant · VRAM |
|---|---|---|---|---|
| 1 | Qwen3.5 9BAlibabaHow to run → Q4_K_M · 6.6 GB · 26.2 t/s | 26.2 tok/s | Q4_K_M · 6.6 GB | |
| 2 | Qwen3.5 4BAlibaba Q4_K_M · 3.4 GB · 51.0 t/s | 51.0 tok/s | Q4_K_M · 3.4 GB | |
| 3 | Gemma 3 4B ITGoogle Q4_K_M · 5.0 GB · 58.6 t/s | 58.6 tok/s | Q4_K_M · 5.0 GB | |
| 4 | Q4_K_M · 6.5 GB · 26.8 t/s | 26.8 tok/s | Q4_K_M · 6.5 GB | |
| 5 | MiniCPM V 4.7 1BOpenBMB Q4_K_M · 1.6 GB · 130 t/s | 130 tok/s | Q4_K_M · 1.6 GB |
See all 218 models on the RTX 3000 Ada Generation Laptop GPU →Best quant that fits · speeds estimated on this card
The RTX 3000 Ada Generation Laptop GPU runs 7–9B models well. Ada Lovelace generation, released 2023.
GenerationAda Lovelacereleased 2023
RTX 3000 Ada Generation Laptop GPU strengths and weaknesses
Strengths
- Runs 7–9B models: Qwen3.5 9B at 26.2 tok/s in 6.6 GB
- Reads long prompts fast: A 4K-token prompt on Qwen3.5 9B starts answering in 2.2 s
- Low power draw: 140 W board power; a 300 W PSU is enough
Weaknesses
- 14B models don't fit: Qwen3 14B needs 11.9 GB at Q4 vs 8 GB here
- Little room for context: Qwen3.5 9B uses 6.6 of 8 GB, 1.4 GB left
Output speed depends on memory bandwidth (256 GB/s). Grey rows need more than 8 GB.
- 9BQwen3.5 9B · Q4_K_M · 6.6 GB26.2tok/s
- 14BQwen3 14B · not at 4-bitneeds 11.9 GB
- 27–31BQwen3.8 27B · not at 4-bitneeds 17.9 GB
- 35B MoEQwen3.6 35B A3B · not at 4-bitneeds 22.0 GB
- 70BLlama 3.3 70B Instruct · not at 4-bitneeds 51.3 GB
- 120B MoEGPT OSS 120B · not at 4-bitneeds 70.8 GB
Estimated speeds: Q4_K_M, 4K context, one user. How we estimate
All 842 models on the RTX 3000 Ada Generation Laptop GPU
Featured onlyBest quant that fits, ordered by llmrun Score. Fit grades how well it runs here, S best. How ranking works
| Model | Quant | VRAM | Speed | Context | Score | Fit |
|---|---|---|---|---|---|---|
TinyLLama V0Chat | Q4_K_M | 0.0 GB | 16640.0 t/s | 2K | S100, Runs great | |
Idefics3 8B Llama3Vision | Q4_K_M | 7.5 GB | 29.5 t/s | 131K | B49, Decent | |
Gemma 3n E2B ITVision | Q4_K_M | 5.9 GB | 46.4 t/s | — | A78, Runs well | |
Yi 1.5 6B ChatChat | Q4_K_M | 4.2 GB | 40.9 t/s | 4K | A75, Runs well | |
| Q4_K_M | 1.0 GB | 164.8 t/s | 2K | S97, Runs great | ||
| Q4_K_M | 0.0 GB | 16640.0 t/s | 1K | S100, Runs great | ||
Gemma 3 4B PtVision | Q4_K_M | 5 GB | 58.6 t/s | — | A83, Runs well | |
| Q4_K_M | 1.5 GB | 108.1 t/s | 2K | S93, Runs great | ||
Mamba 2.8B HFChat | Q4_K_M | 3.7 GB | 90.9 t/s | — | S90, Runs great | |
Pythia 1.4BChat | Q4_K_M | 1 GB | 166.4 t/s | 2K | S98, Runs great | |
| Q4_K_M | 1.9 GB | 90.4 t/s | 8K | S90, Runs great | ||
Phi 4 Mini InstructChatCodeFunctions | Q4_K_M | 4.8 GB | 58.0 t/s | 131K | A83, Runs well | |
| Q4_K_M | 6.2 GB | 30.9 t/s | 8K | A71, Runs well | ||
Llama 68MChat | Q4_K_M | 0.0 GB | 4160.0 t/s | 2K | S100, Runs great | |
Pythia 1BChat | Q4_K_M | 0.7 GB | 234.4 t/s | 2K | S100, Runs great |
Specs
- Architecture
- Ada Lovelace
- VRAM
- 8 GB GDDR6
- Memory bandwidth
- 256.0 GB/s
- FP16 (dense)
- 79.75 TFLOPS
- CUDA cores
- 4,608
- Tensor cores
- 144
- Compute capability
- 8.9
- TDP
- 140 W
- Released
- 2023-03-21
RTX 3000 Ada Generation Laptop GPU FAQ
What is the largest model the RTX 3000 Ada Generation Laptop GPU can run?
Qwen3.5 9B (9.7B) is the largest at 4-bit or better: at Q4_K_M it uses 6.6 GB of 8 GB, and runs at about 26.2 tok/s.
Can the RTX 3000 Ada Generation Laptop GPU run 14B models?
No. Qwen3 14B needs 11.9 GB at Q4, more than the 8 GB on this card.
How many tokens per second does the RTX 3000 Ada Generation Laptop GPU give?
About 26.2 tok/s on Qwen3.5 9B at Q4_K_M, with the first token after 2.2 s on a 4K-token prompt.
What power supply does the RTX 3000 Ada Generation Laptop GPU need?
Plan a 300 W PSU (2× the 140 W TDP).