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Discrete GPU

Arc A770 (8GB)

Data as of

Memory bandwidth
512 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 46–61
  • Ornith-1.5-9B Q5_K_M
    Context length 16,384 Estimated 8.49 GB 0.10 GB left (tight) Speed 45–60
  • gemma-4-12B-it IQ4_XS Image input
    Context length 8,192 Estimated 8.49 GB 0.10 GB left (tight) Speed 45–60
  • Ornith-1.0-9B Q5_K_M
    Context length 16,384 Estimated 8.13 GB 0.46 GB left Speed 47–63
  • mxbai-embed-large-v1 F32 Embedding (not for chat)
    Context length 512 Estimated 2.41 GB 6.18 GB left Speed 230–306
  • 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 44–59
  • MOSS-Music-8B-Instruct Q4_K_M
    Context length 16,384 Estimated 8.45 GB 0.14 GB left (tight) Speed 59–79
  • Qwen3-VL-8B-Instruct UD-Q5_K_XL Image input
    Context length 8,192 Estimated 7.94 GB 0.65 GB left Speed 52–70
  • Qwen3.5-9B Q5_K_M Image input
    Context length 8,192 Estimated 8.48 GB 0.11 GB left (tight) Speed 43–58
  • Ornith-1.5-9B-uncensored Q5_K_M
    Context length 16,384 Estimated 8.10 GB 0.49 GB left Speed 47–63
  • Qwen3.5-4B UD-Q8_K_XL Image input
    Context length 32,768 Estimated 8.12 GB 0.47 GB left Speed 52–69
  • Wan2.1 Q4_K_M
    Context length 16,384 Estimated 8.08 GB 0.51 GB left Speed 53–71
  • Qwen3-ASR-1.7B F16 Speech / audio
    Context length 16,384 Estimated 6.82 GB 1.77 GB left Speed 75–100
  • 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 60–79
  • Ternary-Bonsai-2-9B Q8_0 Image input
    Context length 131,072 Estimated 8.07 GB 0.52 GB left Speed 115–153
  • 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 271–361
  • Hy-MT2-7B Q6_K
    Context length 8,192 Estimated 8.04 GB 0.55 GB left Speed 50–66
  • Ternary-Bonsai-2-2B Q2_0 Image input
    Context length 262,144 Estimated 4.83 GB 3.76 GB left Speed 562–749
  • 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 45–60
  • Cyber-Ornith-1.5-9B-OBLITERATED Q5_K_M
    Context length 16,384 Estimated 8.10 GB 0.49 GB left Speed 47–63
  • Sharp-Spark-X2.5-4B Q6_K_XL
    Context length 65,536 Estimated 6.95 GB 1.64 GB left Speed 85–113
  • AdaVaR-3B F16
    Context length 32,768 Estimated 8.23 GB 0.36 GB left (tight) Speed 50–66
  • Qwen3-8B Q5_K_L
    Context length 8,192 Estimated 8.29 GB 0.30 GB left (tight) Speed 49–66
  • Qwen3.5-9B-Kimi-k3-Distilled Q5_K_M
    Context length 16,384 Estimated 8.28 GB 0.31 GB left (tight) Speed 46–62
  • Qwen3-4B-Instruct-2507 UD-Q8_K_XL
    Context length 16,384 Estimated 8.32 GB 0.27 GB left (tight) Speed 61–81
  • B1-9B Q5_K_M
    Context length 16,384 Estimated 8.28 GB 0.31 GB left (tight) Speed 46–62
  • Qwen3-VL-4B-Instruct UD-Q8_K_XL Image input
    Context length 16,384 Estimated 8.32 GB 0.27 GB left (tight) Speed 61–81
  • Qwen2.5-7B-Instruct Q6_K_L
    Context length 16,384 Estimated 8.31 GB 0.28 GB left (tight) Speed 47–63
  • Qwen3-4B UD-Q8_K_XL
    Context length 16,384 Estimated 8.32 GB 0.27 GB left (tight) Speed 61–81
  • 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 49–65

Frequently asked questions

Which local LLMs run on Arc A770 (8GB)?
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 Arc A770 (8GB)?
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 Arc A770 (8GB) generate text?
With 512 GB/s of memory bandwidth, Qwen3.8-27B at UD-IQ1_M (6.73 GB) runs at an estimated 46–61 tokens per second (60–80% of bandwidth ÷ file size; prompt processing not included).