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Discrete GPU

Arc A310

Data as of

Memory bandwidth
124 GB/s
Source
Checked:

With 4 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).

  • mxbai-embed-large-v1 F32 Embedding (not for chat)
    Context length 512 Estimated 2.41 GB 1.88 GB left Speed 56–74
  • MOSS-Music-8B-Instruct F16 Speech / audio
    Context length 8,192 Estimated 3.78 GB 0.51 GB left Speed 43–58
  • Qwen3.5-4B UD-Q4_K_XL Image input
    Context length 8,192 Estimated 4.28 GB 0.02 GB left (tight) Speed 26–34
  • Wan2.1 Q4_K_M
    Context length 4,096 Estimated 4.22 GB 0.07 GB left (tight) Speed 27–36
  • Qwen3-ASR-1.7B Q8_0 Speech / audio
    Context length 8,192 Estimated 3.97 GB 0.32 GB left Speed 34–45
  • Ternary-Bonsai-2-9B Q8_0 Image input
    Context length 8,192 Estimated 4.04 GB 0.25 GB left Speed 28–37
  • HyperCLOVAX-SEED-Text-Instruct-1.5B-Q4_K_M Q4_K_M
    Context length 16,384 Estimated 3.51 GB 0.79 GB left Speed 66–87
  • Ternary-Bonsai-2-2B Q2_0 Image input
    Context length 131,072 Estimated 3.22 GB 1.07 GB left Speed 136–181
  • Cyber-Ornith-1.5-9B-OBLITERATED IQ1_M
    Context length 8,192 Estimated 4.24 GB 0.05 GB left (tight) Speed 26–34
  • Sharp-Spark-X2.5-4B Q4_K_XL
    Context length 16,384 Estimated 4.20 GB 0.09 GB left (tight) Speed 28–37
  • AdaVaR-3B Q6_K
    Context length 16,384 Estimated 3.99 GB 0.30 GB left Speed 29–39
  • Qwen3-4B-Instruct-2507 UD-Q3_K_XL
    Context length 8,192 Estimated 4.18 GB 0.11 GB left (tight) Speed 35–47
  • Qwen3-VL-4B-Instruct UD-Q3_K_XL Image input
    Context length 8,192 Estimated 4.18 GB 0.11 GB left (tight) Speed 35–47
  • Qwen2.5-7B-Instruct IQ2_M
    Context length 8,192 Estimated 4.10 GB 0.20 GB left (tight) Speed 27–36
  • Qwen3-4B UD-Q3_K_XL
    Context length 8,192 Estimated 4.19 GB 0.11 GB left (tight) Speed 35–47
  • gemma-4-E2B-it Q4_1 Image input
    Context length 8,192 Estimated 4.29 GB 0.00 GB left (tight) Speed 24–31
  • Qwen3.8-4B-Distill Q4_K_M
    Context length 8,192 Estimated 4.15 GB 0.14 GB left (tight) Speed 27–36
  • Spark-X2.5-4B-Heretic-jp Q5_K_M
    Context length 8,192 Estimated 4.20 GB 0.10 GB left (tight) Speed 25–33
  • nomic-embed-text-v1.5 F32 Embedding (not for chat)
    Context length 2,048 Estimated 1.62 GB 2.67 GB left Speed 136–181
  • jinen-v1-small F16
    Context length 1,024 Estimated 1.55 GB 2.74 GB left Speed 168–224
  • Qwen3.8-2B-Distill Q8_0
    Context length 65,536 Estimated 3.95 GB 0.35 GB left Speed 36–48
  • Qwen2.5-1.5B-Instruct F16
    Context length 8,192 Estimated 4.18 GB 0.12 GB left (tight) Speed 24–32
  • Qwen3.5-2B UD-Q8_K_XL Image input
    Context length 16,384 Estimated 4.10 GB 0.19 GB left (tight) Speed 26–35
  • bge-large-en-v1.5 F32 Embedding (not for chat)
    Context length 512 Estimated 2.41 GB 1.88 GB left Speed 56–74
  • Qwen3.5-0.8B-Artemis Q5_K_M Image input
    Context length 131,072 Estimated 3.25 GB 1.05 GB left Speed 131–174
  • bge-small-en-v1.5 F32 Embedding (not for chat)
    Context length 512 Estimated 1.21 GB 3.09 GB left Speed 557–742
  • MiniCPM5-2B Q8_0
    Context length 16,384 Estimated 4.19 GB 0.11 GB left (tight) Speed 28–37
  • Qwen2.5-0.5B-Instruct F16
    Context length 8,192 Estimated 2.22 GB 2.08 GB left Speed 59–78
  • bge-base-en-v1.5 F32 Embedding (not for chat)
    Context length 512 Estimated 1.51 GB 2.78 GB left Speed 171–227
  • gemma-4-E2B-it-Artemis Q3_K_L Image input
    Context length 131,072 Estimated 4.20 GB 0.09 GB left (tight) Speed 32–43

Frequently asked questions

Which local LLMs run on Arc A310?
On this site, 277 models have a quantization that fits in 4 GB at 8,192 tokens (estimated). Popular ones include Ornith-1.5-9B, MOSS-Music-8B-Instruct, Qwen3.5-4B, Qwen3-4B, Ternary-Bonsai-2-9B.
What is the largest model that runs on Arc A310?
Among the models listed here, Qwen3.8-Flash-Next-FP4-Local-Strata (about 51.2B); BF16 fits in 4 GB (estimated at 8,192 tokens).
How fast does Arc A310 generate text?
With 124 GB/s of memory bandwidth, Ornith-1.5-9B at IQ1_M (2.81 GB) runs at an estimated 26–35 tokens per second (60–80% of bandwidth ÷ file size; prompt processing not included).