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localllm
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Discrete GPU

GeForce RTX 3070 Ti

Data as of

Memory bandwidth
608 GB/s
Source
Checked:

With 8 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 UD-IQ1_M
    Context length 8,192 Estimated 8.47 GB 0.12 GB left (tight) Speed 54–72
  • Ornith-1.5-9B Q5_K_M
    Context length 16,384 Estimated 8.49 GB 0.10 GB left (tight) Speed 53–71
  • gemma-4-12B-it IQ4_XS Image input
    Context length 8,192 Estimated 8.49 GB 0.10 GB left (tight) Speed 54–72
  • Ornith-1.0-9B Q5_K_M
    Context length 16,384 Estimated 8.13 GB 0.46 GB left Speed 56–75
  • mxbai-embed-large-v1 F32 Embedding (not for chat)
    Context length 512 Estimated 2.41 GB 6.18 GB left Speed 273–364
  • Qwen3.5-9B-The-Defiant-Fable-Uncensored-Heretic-NEO-IMATRIX-MAX-MTP Q4_K_M Image input
    Context length 8,192 Estimated 8.35 GB 0.24 GB left (tight) Speed 52–70
  • MOSS-Music-8B-Instruct Q4_K_M
    Context length 16,384 Estimated 8.45 GB 0.14 GB left (tight) Speed 70–94
  • Qwen3-VL-8B-Instruct UD-Q5_K_XL Image input
    Context length 8,192 Estimated 7.94 GB 0.65 GB left Speed 62–83
  • Qwen3.5-9B Q5_K_M Image input
    Context length 8,192 Estimated 8.48 GB 0.11 GB left (tight) Speed 51–68
  • Ornith-1.5-9B-uncensored Q5_K_M
    Context length 16,384 Estimated 8.10 GB 0.49 GB left Speed 56–75
  • Qwen3.5-4B UD-Q8_K_XL Image input
    Context length 32,768 Estimated 8.12 GB 0.47 GB left Speed 61–82
  • Wan2.1 Q4_K_M
    Context length 16,384 Estimated 8.08 GB 0.51 GB left Speed 63–84
  • Qwen3-ASR-1.7B F16 Speech / audio
    Context length 16,384 Estimated 6.82 GB 1.77 GB left Speed 89–119
  • gemma-4-E4B-it-qat-q4_0 Q4_0 Image input
    Context length 131,072 Estimated 8.42 GB 0.17 GB left (tight) Speed 71–94
  • Ternary-Bonsai-2-9B Q8_0 Image input
    Context length 131,072 Estimated 8.07 GB 0.52 GB left Speed 136–182
  • HyperCLOVAX-SEED-Text-Instruct-1.5B-Q4_K_M Q4_K_M
    Context length 65,536 Estimated 8.34 GB 0.25 GB left (tight) Speed 322–429
  • Hy-MT2-7B Q6_K
    Context length 8,192 Estimated 8.04 GB 0.55 GB left Speed 59–79
  • Ternary-Bonsai-2-2B Q2_0 Image input
    Context length 262,144 Estimated 4.83 GB 3.76 GB left Speed 667–890
  • MiMo-V2.6-Distill-Qwen-9B Q5_K_M Image input
    Context length 16,384 Estimated 8.51 GB 0.08 GB left (tight) Speed 53–71
  • Cyber-Ornith-1.5-9B-OBLITERATED Q5_K_M
    Context length 16,384 Estimated 8.10 GB 0.49 GB left Speed 56–75
  • Sharp-Spark-X2.5-4B Q6_K_XL
    Context length 65,536 Estimated 6.95 GB 1.64 GB left Speed 101–135
  • AdaVaR-3B F16
    Context length 32,768 Estimated 8.23 GB 0.36 GB left (tight) Speed 59–79
  • Qwen3-8B Q5_K_L
    Context length 8,192 Estimated 8.29 GB 0.30 GB left (tight) Speed 59–78
  • Qwen3.5-9B-Kimi-k3-Distilled Q5_K_M
    Context length 16,384 Estimated 8.28 GB 0.31 GB left (tight) Speed 55–73
  • Qwen3-4B-Instruct-2507 UD-Q8_K_XL
    Context length 16,384 Estimated 8.32 GB 0.27 GB left (tight) Speed 72–96
  • B1-9B Q5_K_M
    Context length 16,384 Estimated 8.28 GB 0.31 GB left (tight) Speed 55–73
  • Qwen3-VL-4B-Instruct UD-Q8_K_XL Image input
    Context length 16,384 Estimated 8.32 GB 0.27 GB left (tight) Speed 72–96
  • Qwen2.5-7B-Instruct Q6_K_L
    Context length 16,384 Estimated 8.31 GB 0.28 GB left (tight) Speed 56–75
  • Qwen3-4B UD-Q8_K_XL
    Context length 16,384 Estimated 8.32 GB 0.27 GB left (tight) Speed 72–96
  • Qwen-Image-2.1-Turbo-Uncensored Q5_K Image / video generation
    Context length 8,192 Estimated 8.34 GB 0.25 GB left (tight) Speed 58–77

Frequently asked questions

Which local LLMs run on GeForce RTX 3070 Ti?
On this site, 584 models have a quantization that fits in 8 GB at 8,192 tokens (estimated). Popular ones include Qwen3.8-27B, Ornith-1.5-9B, gemma-4-12B-it, Qwen3.5-9B, MOSS-Music-8B-Instruct.
What is the largest model that runs on GeForce RTX 3070 Ti?
Among the models listed here, Qwen3.8-Flash-Next-FP4-Local-Strata (about 51.2B); BF16 fits in 8 GB (estimated at 8,192 tokens).
How fast does GeForce RTX 3070 Ti generate text?
With 608 GB/s of memory bandwidth, Qwen3.8-27B at UD-IQ1_M (6.73 GB) runs at an estimated 54–72 tokens per second (60–80% of bandwidth ÷ file size; prompt processing not included).