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Can the Intel Celeron J3455 / N3450 (Apollo Lake) NAS (16 GB) run Zamba2 7B Instruct?

37Basic quality (D) · 37 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking.

Barely: it runs very slowly

Very slow. At Q6_K it needs about 8.4 GB of 12.0 GB usable, with an estimated speed of 0.5 tok/s.

Best quant
Q6_K
Generation speed
0.5 tok/s
Prompt processing
0.8 tok/s
First token (1K prompt)
1,256.1 s
Largest safe context
4K

Download Zamba2 7B Instruct

Original weights · Hugging Face

Full-precision files from Zyphra, for fine-tuning, vLLM, Transformers.

huggingface.co/Zyphra/Zamba2-7B-Instruct (opens in a new tab)

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Links checked 2 days ago against Hugging Face, Ollama and GitHub.

How it’s rated

Quality 37Basic quality (D) · 37 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking.
How capable the model itself is at Q6_K, from its editorial quality tier scaled by the quantization or precision. It’s the same on any hardware that runs this variant. Scale: A+ 85+ · A 70+ · B 55+ · C 40+ · D under 40.
Runs Very slow
How well it runs on the Intel Celeron J3455 / N3450 (Apollo Lake) NAS (16 GB): speed, capped by how well it fits in memory. Runs great: 30+ tokens/s (or near the image, video or decision speed target) · Runs well: 10+ tokens/s · Slow: 3+ tokens/s · Very slow: under 3 · Won’t run: doesn’t fit even with offload. A tight fit or RAM offload caps it at Runs well; heavy offload caps it at Slow.

Match score

To order lists, each result also gets a match score out of 100 from four parts. It favors the most capable model that still runs well.

Model qualityEditorial quality tier of the model, scaled by the quantization or precision used.16.9 / 45
Memory fitFull marks when the model fits in the share of the NAS’s memory that models can use (the rest stays with the NAS system and its storage services); fewer when it goes past that limit.25.0 / 25
SpeedGeneration speed against a 40 tokens/s target for LLMs, or render time against a target for image and video.1.6 / 15
Memory useRewards using the memory you have, so a bigger, better variant beats a tiny one that leaves most memory idle.15.0 / 15
Match score58.6 / 100

The match score orders results; it is not shown as a grade. Quality and Runs are the two ratings in the tables.

Every quantization on the Intel Celeron J3455 / N3450 (Apollo Lake) NAS (16 GB)

Quant Memory needed Available Speed Runs Quality Download
Q2_K 5.3 GB 12.0 GB 1.1 tok/s Very slow 26Basic quality (D) · 26 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 49/100 (quality, fit, speed and memory use) sets the ranking. All files (opens in a new tab)
Q3_K_M 5.9 GB 12.0 GB 0.9 tok/s Very slow 31Basic quality (D) · 31 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 53/100 (quality, fit, speed and memory use) sets the ranking. All files (opens in a new tab)
Q4_K_M 6.8 GB 12.0 GB 0.7 tok/s Very slow 36Basic quality (D) · 36 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking. All files (opens in a new tab)
Q5_K_M 7.5 GB 12.0 GB 0.6 tok/s Very slow 36Basic quality (D) · 36 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 57/100 (quality, fit, speed and memory use) sets the ranking. All files (opens in a new tab)
Q6_K 8.4 GB 12.0 GB 0.5 tok/s Very slow 37Basic quality (D) · 37 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking. All files (opens in a new tab)
Q8_0 10.1 GB 12.0 GB 0.4 tok/s Very slow 38Basic quality (D) · 38 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking. All files (opens in a new tab)
F16 17.0 GB 12.0 GB — Won't run 38Basic quality (D) · 38 of 100: how capable the model is at F16, whatever it runs on. Match score 5/100 (quality, fit, speed and memory use) sets the ranking. Original weights (opens in a new tab)

Memory figures assume 4K of context. Longer conversations or documents grow the KV cache.

Other hardware that runs it

Quick answers

How much memory does Zamba2 7B Instruct need on the Intel Celeron J3455 / N3450 (Apollo Lake) NAS 16GB?

At Q6_K it needs about 8.4 GB. The Intel Celeron J3455 / N3450 (Apollo Lake) NAS 16GB has 12.0 GB usable.

How fast is Zamba2 7B Instruct on the Intel Celeron J3455 / N3450 (Apollo Lake) NAS 16GB?

About 0.5 tok/s at Q6_K, an estimate from the hardware’s memory bandwidth and the size of the model.

Which quantization of Zamba2 7B Instruct should I use on the Intel Celeron J3455 / N3450 (Apollo Lake) NAS 16GB?

Q6_K. Of the versions that fit, it is the one that runs best; when two run equally well, the check prefers the higher-rated one.

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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