NVIDIA - consumer GPU - verified
Local LLMs that run on NVIDIA GeForce RTX 4070 Ti SUPER (16 GB)
By this directory's rule of thumb, 18 of 63 open-weight models fit in the 16 GB of VRAM on the RTX 4070 Ti SUPER. The largest by total parameters is gpt-oss-20b (20.9B), whose smallest non-MLX download is 11.6 GB, the Q4_K_M GGUF build from unsloth/gpt-oss-20b-GGUF.
- Models that fit
- 18 of 63
- Memory
- 16 GB
- Memory type
- GDDR6X
- Bandwidth
- Not stated
Spec sheet
- Memory
- 16 GB
- Memory type
- GDDR6X
- Unified memory
- No
- Bandwidth
- Not stated
- Released
- 2024
256-bit memory interface; NVIDIA's spec page does not state memory bandwidth.
Source: NVIDIA spec page (nvidia.com)
18 models that fit in 16 GB
Total params, largest first| Model | Total params | Smallest download | Quant | Commercial |
|---|---|---|---|---|
| gpt-oss-20bOpenAI | 20.9B3.6B active | 11.6 GB | Q4_K_MGGUF | Commercial use: Yes |
| Phi-4Microsoft | 14.7B | 9.1 GB | Q4_KGGUF | Commercial use: Yes |
| Phi-4-reasoning-plusMicrosoft | 14.7B | 9.1 GB | Q4_K_MGGUF | Commercial use: Yes |
| Ministral 3 14B Instruct 2512Mistral AI | 13.9B | 8.2 GB | Q4_K_MGGUF | Commercial use: Yes |
| Gemma 4 12BGoogle | 12B | 7.0 GB | Q4_0 (QAT)GGUF | Commercial use: Yes |
| Qwen3.5-9BAlibaba Cloud (Qwen) | 9.7B | 5.7 GB | Q4_K_MGGUF | Commercial use: Yes |
| Ministral 3 8B Instruct 2512Mistral AI | 8.9B | 5.2 GB | Q4_K_MGGUF | Commercial use: Yes |
| IBM Granite 4.2 8BIBM | 8.8B | 5.3 GB | Q4_K_MGGUF | Commercial use: Yes |
| Cohere Command R7B (12-2024)Cohere | 8B | 5.1 GB | Q4_K_MGGUF | Commercial use: No |
| Gemma 4 E4BGoogle | 8B | 5.0 GB | Q4_K_MGGUF | Commercial use: Yes |
| Gemma 4 E2BGoogle | 5.1B | 3.1 GB | Q4_K_MGGUF | Commercial use: Yes |
| Qwen3.5-4BAlibaba Cloud (Qwen) | 4.7B | 2.7 GB | Q4_K_MGGUF | Commercial use: Yes |
| Ministral 3 3B Instruct 2512Mistral AI | 3.8B | 2.1 GB | Q4_K_MGGUF | Commercial use: Yes |
| Phi-4-mini-instructMicrosoft | 3.8B | 2.5 GB | Q4_K_MGGUF | Commercial use: Yes |
| Phi-4-mini-reasoningMicrosoft | 3.8B | 2.5 GB | Q4_K_MGGUF | Commercial use: Yes |
| Liquid AI LFM2.5-2.6BLiquid AI | 2.7B | 1.7 GB | Q4_K_MGGUF | Commercial use: Conditions |
| Qwen3.5-2BAlibaba Cloud (Qwen) | 2.3B | 1.3 GB | Q4_K_MGGUF | Commercial use: Yes |
| Qwen3.5-0.8BAlibaba Cloud (Qwen) | 0.9B | 0.5 GB | Q4_K_MGGUF | Commercial use: Yes |
1 more model fits in 16 GB only as an MLX build, which runs on Apple silicon only: Liquid AI LFM2.5-24B-A2B. It is on the list for the MacBook Air (M5) with 16 GB.
The rest of the 63 need more than 16 GB. Browse every local model.
Other devices with 16 GB
Same memory size. Each shows how many models fit under its own rule (Macs also count MLX builds), and the memory type and bandwidth differ.
Compare all 33 GPUs and Macs by memory, bandwidth and how many models fit.
FAQ
How many local LLMs can the RTX 4070 Ti SUPER run?
18 of the 63 open-weight models in this directory fit, with 16 GB of VRAM, by this site's rule of thumb that the smallest non-MLX download is at most 85% of the memory. MLX builds do not count here: they run on Apple silicon only.
Can the RTX 4070 Ti SUPER run gpt-oss-20b?
Yes, by this directory's rule of thumb: its smallest non-MLX download, 11.6 GB, is at most 85% of 16 GB (13.6 GB), the Q4_K_M GGUF build from unsloth/gpt-oss-20b-GGUF. That leaves room for the context. It is a memory check, not a speed estimate.
Can the RTX 4070 Ti SUPER run IBM Granite 4.2 8B?
Yes, by this directory's rule of thumb: its smallest non-MLX download, 5.3 GB, is at most 85% of 16 GB (13.6 GB), the Q4_K_M GGUF build from ibm-granite/granite-4.2-8b-GGUF. That leaves room for the context. It is a memory check, not a speed estimate.
Can the RTX 4070 Ti SUPER run Devstral Small 2 24B Instruct 2512?
Not by this directory's rule of thumb: its smallest non-MLX download, 14.3 GB, is more than 85% of 16 GB (13.6 GB). It needs the 24 GB tier or more: https://www.developersdigest.tech/local-models/fits/24.
Can the RTX 4070 Ti SUPER use system RAM for bigger models?
This page only counts models that fit entirely in the 16 GB of VRAM. Runtimes can offload layers to system RAM, but this directory does not list or measure that.
What memory bandwidth does the RTX 4070 Ti SUPER have?
NVIDIA's spec page does not state a bandwidth figure, so this page shows Not stated. The memory is GDDR6X.
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