Can the RTX 4060 Mobile run OTel-2.0-LLM-31B-IT-QLoRA?
No. OTel-2.0-LLM-31B-IT-QLoRA needs about 19.8 GB at Q4_K_M (weights plus 1.8 GB runtime overhead), and the RTX 4060 Mobile has 8 GB, so it won't fit without offloading layers to system RAM, which is far slower.
Every quantization
OTel-2.0-LLM-31B-IT-QLoRA (31.3B) on 8 GB
| Quant | Weights | Needs | Fit | Est. speed |
|---|---|---|---|---|
| Q4_K_M | 18 GB | 19.8 GB | Too big | - |
| Q5_K_M | 22 GB | 23.8 GB | Too big | - |
| Q8_0 | 33 GB | 34.8 GB | Too big | - |
| FP16 | 63 GB | 64.8 GB | Too big | - |
Estimates. Needs = weights + 1.8 GB for KV cache and runtime at modest context. Speed is single-stream decode scaled from the RTX 4060 Mobile's 256 GB/s bandwidth (Estimated from memory bandwidth (llama.cpp decode)). Long contexts need more memory and run slower.
What to do instead
Two ways forward
Cheapest cards that run it
- NVIDIA Tesla P40 - 24 GB, ~$159
- AMD Radeon RX 7900 XT - 20 GB, ~$699
- NVIDIA RTX 3090 - 24 GB, ~$750
- AMD Radeon RX 7900 XTX - 24 GB, ~$849
Models that fit the RTX 4060 Mobile
- Qwen3.5 4B - 4.7B, 3 GB at Q4
- Qwen3-4B-Instruct-2507 - 4B, 2 GB at Q4
- Phi-4 Mini - 3B, 2.5 GB at Q4
Compare
Same model, other hardware - and other models on this card
OTel-2.0-LLM-31B-IT-QLoRA on other hardware
- RTX 5090~57 tok/s
- RTX 5090 D~57 tok/s
- RTX 6000D~50 tok/s
- RTX 4090~35 tok/s
- Radeon RX 7900 XTX~31 tok/s
- RTX 3090~30 tok/s
- MacBook Pro 16" M4 Max~17 tok/s
- Arc Pro B60~15 tok/s
Also runs on the RTX 4060 Mobile
- Qwen3.5 4B~49 tok/s
- Qwen3-4B-Instruct-2507~74 tok/s
- Phi-4 Mini~59 tok/s
Frequently asked
Quick answers
Can the GeForce RTX 4060 Mobile run OTel-2.0-LLM-31B-IT-QLoRA?
No. OTel-2.0-LLM-31B-IT-QLoRA needs about 19.8 GB at Q4_K_M (weights plus 1.8 GB runtime overhead), and the RTX 4060 Mobile has 8 GB, so it won't fit without offloading layers to system RAM, which is far slower.
How much VRAM does OTel-2.0-LLM-31B-IT-QLoRA need?
About 18 GB of weights at Q4_K_M, 33 GB at Q8_0 and 63 GB at FP16. Add roughly 1.8 GB for the KV cache and runtime at modest context lengths.
How fast is OTel-2.0-LLM-31B-IT-QLoRA on the RTX 4060 Mobile?
It doesn't fit in the RTX 4060 Mobile's memory, so speed depends on how many layers you offload to system RAM - typically single-digit tokens per second or lower.