BBrainOutput
NVIDIA·GPU

NVIDIA RTX 4060 Ti 16GB: Specs & Local-AI Compatibility

16GB Ada Lovelace gpu. Indexed entry — detailed specs (bandwidth, TFLOPS, power) to verify.

Indexed from csv-import and approved for the catalog. Figures are sourced/derived (confidence: approximate); editorial review of strengths and use cases is pending.

Specs

Memory
16 GB
Memory type
to verify
Bandwidth
to verify
Approx FP16
to verify
Architecture
Ada Lovelace
Process
to verify
Power
to verify
Launch
2023

Models this chip can run

Open models graded for a single NVIDIA RTX 4060 Ti 16GB, best fit first.

  • DeepSeek-Coder V2 (class)
    DeepSeek · ~16B · 128K ctx · DeepSeek License

    Fits at Q4_K_M (~11GB) with ~3.1GB headroom — about 1 concurrent instance.

    Q4_K_M · ~11GBRuns well
  • StarCoder2 15B
    StarCoder · ~15B · 16K ctx · BigCode OpenRAIL-M

    Fits at Q4_K_M (~10GB) with ~4.1GB headroom — about 1 concurrent instance.

    Q4_K_M · ~10GBRuns well
  • Qwen2.5 14B
    Qwen · ~14B · 128K ctx · Apache-2.0

    Fits at Q4_K_M (~10GB) with ~4.1GB headroom — about 1 concurrent instance.

    Q4_K_M · ~10GBRuns well
  • Qwen3 14B
    Qwen · ~14B · 128K ctx · Apache-2.0

    Fits at Q4_K_M (~10GB) with ~4.1GB headroom — about 1 concurrent instance.

    Q4_K_M · ~10GBRuns well
  • Phi-3 Medium (14B)
    Phi · ~14B · 128K ctx · MIT

    Fits at Q4_K_M (~9GB) with ~5.1GB headroom — about 1 concurrent instance.

    Q4_K_M · ~9GBRuns well
  • Phi-4 (14B)
    Phi · ~14B · 16K ctx · MIT

    Fits at Q4_K_M (~9GB) with ~5.1GB headroom — about 1 concurrent instance.

    Q4_K_M · ~9GBRuns well
  • DeepSeek-R1 Distill 14B
    DeepSeek · ~14B · 128K ctx · MIT

    Fits at Q4_K_M (~10GB) with ~4.1GB headroom — about 1 concurrent instance.

    Q4_K_M · ~10GBRuns well
  • Qwen2.5-Coder 14B
    Qwen · ~14B · 128K ctx · Apache-2.0

    Fits at Q4_K_M (~10GB) with ~4.1GB headroom — about 1 concurrent instance.

    Q4_K_M · ~10GBRuns well

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