Asustor AS6702T

Hardware · Intel

What AI models can the Intel Celeron N5105 / N5095 NAS (4 GB) run?

RAM
4.0 GB
Usable for models
2.0 GB
Memory bandwidth
24 GB/s
Runs models on
CPU cores
Released
2021

A NAS with this chip runs models on its processor cores, so memory speed sets the pace: small models (about 1-4B) answer at a usable speed, bigger ones are slow. We plan around 2.0 GB for models, what is left after the NAS system and its storage services. Models run in a container (Docker) or the maker’s app store, and speeds assume the NAS isn’t busy with storage work.

More about this hardware

MakerIntel
TypeNAS (network attached storage) processor
Share of memory for models50% (what the NAS system and its storage services typically leave free at this size)
ChipIntel Celeron N5105 / N5095
AI acceleratorNone. Models run on the processor cores.
NAS models with this chipAsustor AS6702T · Asustor AS6704T · Asustor AS6706T · Asustor AS6702T v2 · Asustor AS6704T v2 · Asustor AS6706T v2 · Asustor FS6706T · Asustor FS6712X · Asustor AS5402T · Asustor AS5404T · LincPlus LincStation N1 · ORICO MetaBox HS200 (HS200-PRO) · ORICO MetaBox Pro HS500 (HS500-PRO) · QNAP TS-264 · QNAP TS-464 · QNAP TS-664 · QNAP TS-364 · QNAP TS-462A · QNAP TS-262A · QNAP HS-264 · QNAP TBS-464 · QNAP TS-1264U-RP · QNAP TS-464U-RP · QNAP TS-464U · QNAP TS-864eU-RP · QNAP TS-864eU · QNAP TS-464eU · TerraMaster F2-425 · TerraMaster F4-425 · TerraMaster T6-423 · TerraMaster T9-423 · TerraMaster T12-423 · TerraMaster U4-423 · TerraMaster U8-423 · TerraMaster F2-423 · TerraMaster F4-423 · UGREEN DX4600 · UGREEN DX4600+ · UGREEN DX4600 Pro · UGREEN DH2600
Memory typeSystem RAM, shared with the NAS operating system and its storage services
Bandwidth figure23.5 GB/s, estimated, see the note below
NoteOne profile for every NAS built on this chip. Memory speed is an estimate from the chip’s supported memory in a typical NAS fitting; a unit with one memory module runs slower than one with two. Speed assumes the NAS is not busy with storage work.
Specificationswww.asustor.com

Apps that run models well on the Intel Celeron N5105 / N5095 NAS (4 GB)

For a typical model that fits in memory. Each model page picks the best app for that model on this hardware. All apps

28 products with the Intel Celeron N5105 / N5095 NAS (4 GB)

Best LLMs for the Intel Celeron N5105 / N5095 NAS (4 GB)

Quality Model Quant Memory Speed Runs
39Basic quality (D) · 39 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking. PaddleOCR-VL 1.6 0.9BBaidu Q4_K_M 1.5 GB 12.5 tok/s Runs well
39Basic quality (D) · 39 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking. LFM3 1.7BLiquid AI Q2_K 1.6 GB 11.4 tok/s Runs well
35Basic quality (D) · 35 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking. MiniCPM-OCR 1.0 1.3BOpenBMB Q3_K_M 1.5 GB 12.0 tok/s Runs well
35Basic quality (D) · 35 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking. LFM3-VL 2BLiquid AI Q2_K 1.6 GB 10.3 tok/s Runs well
34Basic quality (D) · 34 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking. MiniCPM5 1BOpenBMB Q4_K_M 1.6 GB 11.1 tok/s Runs well
33Basic quality (D) · 33 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking. MiniCPM-V 4.7 1BOpenBMB Q3_K_M 1.6 GB 10.0 tok/s Runs well
30Basic quality (D) · 30 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking. LFM2.5 1.2B InstructLiquid AI Q4_K_M 1.6 GB 10.3 tok/s Runs well
33Basic quality (D) · 33 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking. Qwen3.5 2BAlibaba Q3_K_M 2.0 GB 6.8 tok/s Slowtight fit
28Basic quality (D) · 28 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking. TMax 2BAi2 Q2_K 1.6 GB 10.5 tok/s Runs well
24Basic quality (D) · 24 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking. Qwen3.5 0.8BAlibaba Q4_K_M 1.4 GB 13.8 tok/s Runs well
30Basic quality (D) · 30 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking. LFM2.5 2.6BLiquid AI Q2_K 2.0 GB 7.3 tok/s Slowtight fit
24Basic quality (D) · 24 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking. LFM2 1.2BLiquid AI Q4_K_M 1.6 GB 10.3 tok/s Runs well

Best Image models for the Intel Celeron N5105 / N5095 NAS (4 GB)

Quality Model Quant Memory Speed Runs
39Basic quality (D) · 39 of 100: how capable the model is at FP8, whatever it runs on. Match score 50/100 (quality, fit, speed and memory use) sets the ranking. SDXL TurboStability AI FP8 1.6 GB 71 s SlowCPU offload
42Fair quality (C) · 42 of 100: how capable the model is at FP16, whatever it runs on. Match score 47/100 (quality, fit, speed and memory use) sets the ranking. Realistic Vision V5.1SG161222 FP16 1.3 GB 10.6 min Very slowCPU offload
28Basic quality (D) · 28 of 100: how capable the model is at FP16, whatever it runs on. Match score 46/100 (quality, fit, speed and memory use) sets the ranking. SD TurboStability AI FP16 1.3 GB 42 s SlowCPU offload
40Fair quality (C) · 40 of 100: how capable the model is at FP16, whatever it runs on. Match score 46/100 (quality, fit, speed and memory use) sets the ranking. DreamShaper 8Lykon FP16 1.3 GB 10.6 min Very slowCPU offload
35Basic quality (D) · 35 of 100: how capable the model is at FP16, whatever it runs on. Match score 44/100 (quality, fit, speed and memory use) sets the ranking. Stable Diffusion 1.5Stability AI / Runway FP16 1.3 GB 10.6 min Very slowCPU offload
30Basic quality (D) · 30 of 100: how capable the model is at FP16, whatever it runs on. Match score 44/100 (quality, fit, speed and memory use) sets the ranking. LCM DreamShaper v7Tsinghua (LCM) FP16 1.3 GB 2.2 min SlowCPU offload

Best Video models for the Intel Celeron N5105 / N5095 NAS (4 GB)

None of the video models in our catalog fit in this much memory.

Best Decision models for the Intel Celeron N5105 / N5095 NAS (4 GB)

Quality Model Quant Memory Speed Runs
86Excellent quality (A+) · 86 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking. Jina Reranker v3.5Jina AI Q8_0 1.6 GB 17.2 s Very slow
84Great quality (A) · 84 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking. Jina Reranker v3Jina AI Q8_0 1.6 GB 17.2 s Very slow
80Great quality (A) · 80 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking. GLiNER2.5 DecideFastino Q8_0 1.2 GB 7.6 s Very slow
80Great quality (A) · 80 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking. FRIDA-DecisionsSber AI Q8_0 1.7 GB 12.7 s Very slow
80Great quality (A) · 80 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking. Qwen3 Reranker 0.6BAlibaba Q8_0 1.6 GB 17.2 s Very slow
76Great quality (A) · 76 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking. Llama Prompt Guard 2 86MMeta Q8_0 1.0 GB 8.7 s Very slow
79Great quality (A) · 79 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking. mxbai-rerank-large v2Mixedbread Q5_K_M 1.9 GB 44.0 s Very slowtight fit
76Great quality (A) · 76 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking. mxbai-rerank-base v2Mixedbread Q8_0 1.3 GB 14.0 s Very slow

Best LLMs by task on this hardware Open in Model Finder

Estimates come from published hardware specs and our open formulas, not from running the model on your machine. Real speed varies with runtime, drivers and settings. Numbers marked “Measured” come from a linked benchmark.

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