TMax 4B on Annapurna Labs Alpine AL324 NAS (16 GB)

Can the Annapurna Labs Alpine AL324 NAS (16 GB) run TMax 4B?

Barely: it runs very slowly

Very slow. At Q6_K it needs about 5.3 GB of 12.0 GB usable, with an estimated speed of 0.7 tok/s.

Best quant: Q6_K
Generation speed: 0.7 tok/s
Prompt processing: 2.4 tok/s
First token (1K prompt): 431.1 s
Largest safe context: 208K

Download TMax 4B

Original weights · Hugging Face

Full-precision files from Ai2, for fine-tuning, vLLM, Transformers.

huggingface.co/allenai/tmax-4b (opens in a new tab)

No sign-in needed.

Links checked 3 days ago against Hugging Face, Ollama and GitHub.

How it’s rated

Quality 60Good quality (B) · 60 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 64/100 (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 Annapurna Labs Alpine AL324 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.	27.2 / 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.	2.0 / 15
Memory useRewards using the memory you have, so a bigger, better variant beats a tiny one that leaves most memory idle.	10.2 / 15
Match score	64.3 / 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 Annapurna Labs Alpine AL324 NAS (16 GB)

Quant	Memory needed	Available	Speed	Runs	Quality	Download
`Q2_K`	3.5 GB	12.0 GB	1.7 tok/s	Very slow	42Fair quality (C) · 42 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 54/100 (quality, fit, speed and memory use) sets the ranking.	All files (opens in a new tab)
`Q3_K_M`	3.9 GB	12.0 GB	1.3 tok/s	Very slow	51Fair quality (C) · 51 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking.	All files (opens in a new tab)
`Q4_K_M`	4.4 GB	12.0 GB	1.0 tok/s	Very slow	57Good quality (B) · 57 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.	All files (opens in a new tab)
`Q5_K_M`	4.8 GB	12.0 GB	0.9 tok/s	Very slow	59Good quality (B) · 59 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking.	All files (opens in a new tab)
`Q6_K`	5.3 GB	12.0 GB	0.7 tok/s	Very slow	60Good quality (B) · 60 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking.	All files (opens in a new tab)
`Q8_0`	6.3 GB	12.0 GB	0.5 tok/s	Very slow	61Good quality (B) · 61 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking.	All files (opens in a new tab)
`F16`	10.2 GB	12.0 GB	0.2 tok/s	Very slowtight fit	61Good quality (B) · 61 of 100: how capable the model is at F16, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking.	Original weights (opens in a new tab)

Memory figures assume 8K of context. Longer conversations or documents grow the KV cache.

Other hardware that runs it

61Good quality (B) · 61 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking. NVIDIA GeForce RTX 4060 Q8_0 · 40.4 tok/s · Runs great
61Good quality (B) · 61 of 100: how capable the model is at F16, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking. NVIDIA GeForce RTX 4070 Ti SUPER F16 · 46.0 tok/s · Runs great
61Good quality (B) · 61 of 100: how capable the model is at F16, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking. NVIDIA GeForce RTX 4080 SUPER F16 · 50.3 tok/s · Runs great
61Good quality (B) · 61 of 100: how capable the model is at F16, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking. NVIDIA GeForce RTX 5070 Ti F16 · 61.3 tok/s · Runs great
61Good quality (B) · 61 of 100: how capable the model is at F16, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking. NVIDIA GeForce RTX 5080 F16 · 65.7 tok/s · Runs great
61Good quality (B) · 61 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. Intel Arc B580 Q8_0 · 51.7 tok/s · Runs great

Quick answers

How much memory does TMax 4B need on the Annapurna Labs Alpine AL324 NAS 16GB?

At Q6_K it needs about 5.3 GB. The Annapurna Labs Alpine AL324 NAS 16GB has 12.0 GB usable.

How fast is TMax 4B on the Annapurna Labs Alpine AL324 NAS 16GB?

About 0.7 tok/s at Q6_K, an estimate from the hardware’s memory bandwidth and the size of the model.

Which quantization of TMax 4B should I use on the Annapurna Labs Alpine AL324 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.