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Best Local LLM for RTX 4070 (2026): 12GB VRAM Picks

The RTX 4070 (non-Ti) ships 12 GB of VRAM. That makes it a capable small-model card — excellent for 8-9B assistants — but 12 GB is the line below which 20B agent models stop fitting comfortably.

Picking hardware for an OpenClaw host?

Use the local model calculator first, then see our AI training options if you want help matching your workload to the right rig.

Short answer: on a 12 GB RTX 4070, run Qwen 3.5 9B at Q6_K (~9 GB, ~30 tok/sec) as your daily assistant, or Llama 3.1 8B at Q8 for general chat. gpt-oss 20B technically loads at Q4 but leaves almost no room for context — for reliable OpenClaw agent work, either use a 16 GB+ card or route agents to the cloud.

The VRAM Math

The 4070 is a great value chat card but a marginal agent card. If OpenClaw tool-calling reliability matters, the extra 4 GB of a 16 GB card (4070 Ti Super, 4080) is the single most useful upgrade.

What Actually Fits (Model Picks)

ModelQuantVRAM usedSpeedNotes
Qwen 3.5 9BQ6_K~9 GB~30 tok/sBest daily assistant
Llama 3.1 8BQ8_0~9 GB~32 tok/sGeneral chat
gpt-oss 20BQ4_K_M~12 GB (very tight)~18 tok/sLoads but no context headroom
Qwen 3.5 9BQ4_K_M~6 GB~35 tok/sLeaves room for bigger context

What You Can’t Run

  • gpt-oss 20B with usable context — at 12 GB the KV cache pushes you out of memory; keep 20B for 16 GB+ cards.
  • Qwen 3.6 27B at any good quant — needs 17-18 GB, far past 12 GB.
  • 70B models — not remotely close on a 12 GB card.
🎮 12 GB VALUE — OR 16-24 GB FOR AGENTS

For a linkable 12 GB card the RTX 3060 is the budget option. If you want to run 20B agent models reliably, step to a 16 GB 4070 Ti Super or a 24 GB 4090.

OpenClaw Setup

Point OpenClaw at your local model through Ollama:

# pull and run your pick, then set it as the OpenClaw default
ollama pull qwen3:9b
openclaw config set agents.defaults.models.chat "ollama/qwen3:9b"

For agent reliability, prefer a model with clean tool-call output (gpt-oss 20B where it fits) and cap context to what your memory holds. See the tool-calling reliability guide.

See Also

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