Best local LLM for rtx 5070
Last updated 2026-05-26 · Page updated 2026-07-13
Top 7 open-source picks for rtx 5070, ranked by benchmark performance and real-world fit. Updated monthly.
Qwen 3 14B
A 14B dense model from Alibaba that matches Qwen 2.5 32B Base on STEM and code, with the same hybrid thinking system as the rest of the Qwen 3 family. The pragmatic sweet spot for a single 24GB GPU.
Phi-4 Reasoning 14B
Microsoft's 14B reasoner that beats R1-Distill-Llama-70B on AIME and GPQA with 50x fewer parameters. MIT-licensed, English-first, with a 32K context.
DeepSeek R1 Distill Qwen 14B
DeepSeek's R1 reasoning distilled into Qwen 14B under MIT. AIME24 69.7 and MATH-500 93.9 — beats o1-mini on most reasoning benchmarks.
Phi-4 14B
Microsoft's Phi-4 14B, trained on ultra-curated synthetic data with a heavy STEM bias. The 14B reasoning leader at the end of 2024.
Mistral Nemo 12B Instruct
Mistral AI and NVIDIA's co-developed 12B instruct model with 128k context, the Tekken tokenizer, and strong European multilingual coverage.
Gemma 3 12B
The 12B sweet spot of Google's Gemma 3 line — multimodal, 128K context, and 140 languages. Fits on a single consumer GPU with room for batching.
Qwen 2.5 14B Instruct
Alibaba's Apache 2.0 dense 14B hitting MMLU 79.7 and HumanEval 83.5 across 29+ languages. The pragmatic sweet spot for self-hosted general-purpose chat.
Which GPU should you buy to run Qwen 3 14B?
To run Qwen 3 14B locally at Q4, you need ~9 GB of VRAM. The best value for this is a RTX 5070 (12 GB VRAM).
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Frequently asked questions
What is the best local LLM for rtx 5070?
Qwen 3 14B tops this ranking — a 14B model, licensed under Apache 2.0, needing about 9 GB of VRAM at Q4 quantization. See the full list below for the runner-ups and how they compare.
How much VRAM do I need to run Qwen 3 14B?
At Q4 quantization, Qwen 3 14B needs about 9 GB of VRAM and fits comfortably on a single 24 GB GPU.
Which of these models fit an 8 GB GPU?
At Q4 quantization, Mistral Nemo 12B Instruct, Gemma 3 12B fit within 8 GB of VRAM.
Are the models on this rtx 5070 list free for commercial use?
Licenses across this list include Apache 2.0, Gemma, MIT. Check the specific license of each model on its catalog page before deploying commercially, as terms vary by author.
What context window do these models support?
Context windows on this list range from 16k to 128k tokens, depending on the model.