Jamba 1.5 Large on AMD Ryzen 9000 series (desktop) NAS (192 GB)
Can the AMD Ryzen 9000 series (desktop) NAS (192 GB) run Jamba 1.5 Large?
Barely: it runs very slowly (over memory limit)
Very slow (over memory limit). At Q2_K it needs about 174 GB of 173 GB usable, with an estimated speed of 1.4 tok/s.
- Best quant
Q2_K- Generation speed
- 1.4 tok/s
- Prompt processing
- 5.3 tok/s
- First token (1K prompt)
- 194.1 s
- Largest safe context
- —
Download Jamba 1.5 Large
Original weights · Hugging Face
Full-precision files from AI21 Labs, for fine-tuning, vLLM, Transformers.
huggingface.co/ai21labs/AI21-Jamba-Large-1.5 (opens in a new tab)
How it’s rated
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 quality | 22.1 / 45 | |
|---|---|---|
| Memory fit | 10.0 / 25 | |
| Speed | 2.8 / 15 | |
| Memory use | 15.0 / 15 | |
| Match score | 49.9 / 100 |
Every quantization on the AMD Ryzen 9000 series (desktop) NAS (192 GB)
| Quant | Memory needed | Available | Speed | Runs | Quality | Download |
|---|---|---|---|---|---|---|
Q2_K | 174 GB | 173 GB | 1.4 tok/s | Very slowover memory limit | 49Fair quality (C) · 49 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 | 210 GB | 173 GB | — | Won't run | 58Good quality (B) · 58 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking. | All files (opens in a new tab) |
Q4_K_M | 258 GB | 173 GB | — | Won't run | 66Good quality (B) · 66 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. | All files (opens in a new tab) |
Q5_K_M | 298 GB | 173 GB | — | Won't run | 67Good quality (B) · 67 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking. | All files (opens in a new tab) |
Q6_K | 342 GB | 173 GB | — | Won't run | 69Good quality (B) · 69 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking. | All files (opens in a new tab) |
Q8_0 | 437 GB | 173 GB | — | Won't run | 70Great quality (A) · 70 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking. | All files (opens in a new tab) |
F16 | 812 GB | 173 GB | — | Won't run | 70Great quality (A) · 70 of 100: how capable the model is at F16, whatever it runs on. Match score 9/100 (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
-
58Good quality (B) · 58 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.
Apple M3 Ultra (512 GB)
-
49Fair quality (C) · 49 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.
Apple M3 Ultra (256 GB)
-
66Good quality (B) · 66 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking.
AMD Instinct MI350X
-
58Good quality (B) · 58 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking.
AMD Instinct MI325X
-
58Good quality (B) · 58 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip
-
66Good quality (B) · 66 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.
Apple M5 Ultra (512 GB)
Quick answers
How much memory does Jamba 1.5 Large need on the AMD Ryzen 9000 series (desktop) NAS 192GB?
At Q2_K it needs about 174 GB. The AMD Ryzen 9000 series (desktop) NAS 192GB has 173 GB usable.
How fast is Jamba 1.5 Large on the AMD Ryzen 9000 series (desktop) NAS 192GB?
About 1.4 tok/s at Q2_K, an estimate from the hardware’s memory bandwidth and the size of the model.
Which quantization of Jamba 1.5 Large should I use on the AMD Ryzen 9000 series (desktop) NAS 192GB?
Q2_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.