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localllm

Discrete GPU

GeForce RTX 4070 Ti

Data as of

Memory bandwidth
504 GB/s

With 12 GB

One entry per model, up to 30, sorted by popularity. For each model we show the largest (most precise) quantization that fits in this memory with a context of at least 8K tokens. The context length is the longest one that quantization fits (for models whose maximum is under 8K, such as embedding models, that maximum). Models that are not for chat or text generation are labelled with their use. "Left" is the memory minus the estimate; under 5% of the memory is marked "tight" (not a guarantee that it fits).

  • Qwen3.8-27B IQ2_S Image input
    Context length 8,192 Estimated 12.9 GB 0.00 GB left (tight) Speed 27–36
  • Context length 32,768 Estimated 12.0 GB 0.90 GB left Speed 31–41
  • Huihui-Qwen3.8-27B-abliterated UD-IQ3_XXS Image input
    Context length 8,192 Estimated 12.8 GB 0.12 GB left (tight) Speed 27–37
  • gemma-4-12B-it UD-Q6_K_XL Image input
    Context length 32,768 Estimated 12.8 GB 0.09 GB left (tight) Speed 28–38
  • Context length 8,192 Estimated 12.4 GB 0.52 GB left (tight) Speed 28–38
  • Context length 65,536 Estimated 12.8 GB 0.08 GB left (tight) Speed 32–42
  • mxbai-embed-large-v1 F32 Embedding (not for chat)
    Context length 512 Estimated 2.41 GB 10.5 GB left Speed 226–302
  • Qwen3.6-35B-A3B-MTP UD-IQ1_M Image input
    Context length 16,384 Estimated 12.8 GB 0.07 GB left (tight) Speed not estimated (MoE)
  • Context length 16,384 Estimated 12.4 GB 0.51 GB left (tight) Speed 28–38
  • MOSS-Music-8B-Instruct Q8_0 Speech / audio
    Context length 16,384 Estimated 12.0 GB 0.91 GB left Speed 35–46
  • Context length 8,192 Estimated 12.4 GB 0.47 GB left (tight) Speed 28–38
  • gemma-4-26B-A4B-it UD-IQ3_S Image input
    Context length 8,192 Estimated 12.8 GB 0.04 GB left (tight) Speed not estimated (MoE)
  • Qwen3-VL-8B-Instruct UD-Q8_K_XL Image input
    Context length 8,192 Estimated 12.9 GB 0.00 GB left (tight) Speed 28–37
  • Qwen3.5-9B Q8_0 Image input
    Context length 32,768 Estimated 12.0 GB 0.91 GB left Speed 31–41
  • Context length 65,536 Estimated 12.8 GB 0.11 GB left (tight) Speed 32–42
  • Qwen3.6-35B-A3B UD-IQ2_M Image input
    Context length 8,192 Estimated 12.8 GB 0.08 GB left (tight) Speed not estimated (MoE)
  • Context length 32,768 Estimated 11.0 GB 1.91 GB left Speed 40–53
  • Context length 16,384 Estimated 12.7 GB 0.17 GB left (tight) Speed 29–39
  • Qwen3.5-4B BF16 Image input
    Context length 65,536 Estimated 11.9 GB 0.97 GB left Speed 35–47
  • Dirk-Qwen3.8-27B IQ3_XXS Image input
    Context length 16,384 Estimated 12.7 GB 0.17 GB left (tight) Speed 29–39
  • Wan2.1 IQ2_M
    Context length 8,192 Estimated 12.4 GB 0.49 GB left (tight) Speed 28–38
  • Qwen3.8-27B-GSQ-RCO IQ3_XXS Image input
    Context length 16,384 Estimated 12.7 GB 0.17 GB left (tight) Speed 29–39
  • Qwen3-ASR-1.7B F16 Speech / audio
    Context length 65,536 Estimated 12.5 GB 0.43 GB left (tight) Speed 74–99
  • Context length 4,096 Estimated 12.9 GB 0.03 GB left (tight) Speed not estimated (MoE)
  • gemma-4-E4B-it-qat-q4_0 Q4_0 Image input
    Context length 131,072 Estimated 8.42 GB 4.47 GB left Speed 59–78
  • Ternary-Bonsai-2-9B Q8_0 Image input
    Context length 262,144 Estimated 12.4 GB 0.52 GB left (tight) Speed 113–151
  • Context length 65,536 Estimated 8.34 GB 4.55 GB left Speed 267–356
  • gemma-4-12B-it-qat-q4_0 Q4_0 Image input
    Context length 262,144 Estimated 12.8 GB 0.04 GB left (tight) Speed 43–58
  • Hy-MT2-7B Q8_0
    Context length 16,384 Estimated 10.9 GB 1.96 GB left Speed 38–51
  • Context length 16,384 Estimated 12.7 GB 0.17 GB left (tight) Speed 29–39

Frequently asked questions

Which local LLMs run on GeForce RTX 4070 Ti?
On this site, 753 models have a quantization that fits in 12 GB at 8,192 tokens (estimated). Popular ones include Qwen3.8-27B, Ornith-1.5-9B, Ornith-1.5-35B-A3B, Huihui-Qwen3.8-27B-abliterated, gemma-4-12B-it.
What is the largest model that runs on GeForce RTX 4070 Ti?
Among the models listed here, Qwen3.8-Flash-Next-FP4-Local-Strata (about 51.2B); BF16 fits in 12 GB (estimated at 8,192 tokens).
How fast does GeForce RTX 4070 Ti generate text?
With 504 GB/s of memory bandwidth, Qwen3.8-27B at IQ2_S (11.1 GB) runs at an estimated 27–36 tokens per second (60–80% of bandwidth ÷ file size; prompt processing not included).