Jamba 1.5 Mini on AMD Radeon RX 7900 XTX

Can the AMD Radeon RX 7900 XTX run Jamba 1.5 Mini?

69 pts

Yes, with little memory to spare

Tight fit. At Q2_K it needs about 22.6 GB of 24.0 GB usable, with an estimated speed of 69.4 tok/s.

Best quant: Q2_K
Generation speed: 69.4 tok/s
Prompt processing: 6,345 tok/s
First token (1K prompt): 0.3 s
Largest safe context: 93K

Download Jamba 1.5 Mini

Recommended for the AMD Radeon RX 7900 XTX: Q2_K. Every other quantization has its own download link in the table below.

Quantized files · GGUF

Works in LM Studio, llama.cpp, Jan and Ollama. No sign-in needed.

Download the Q2_K file (opens in a new tab)

huggingface.co/mradermacher/AI21-Jamba-Mini-1.5-i1-GGUF (opens in a new tab)

ollama run hf.co/mradermacher/AI21-Jamba-Mini-1.5-i1-GGUF:Q2_K

Original weights · Hugging Face

Full-precision files from AI21 Labs, for fine-tuning, vLLM, Transformers.

huggingface.co/ai21labs/AI21-Jamba-Mini-1.5 (opens in a new tab)

Free Hugging Face account needed: accept the license on the model page and the download starts right away.

Links checked 7 days ago against Hugging Face, Ollama and GitHub.

How the B grade is scored

Every result gets up to 100 points from four parts. The points decide the letter grade.

Model qualityEditorial quality tier of the model, scaled by the quantization or precision used.	15.8 / 45
Memory fitFull marks when everything sits in GPU or unified memory; fewer when part spills to system RAM.	24.0 / 25
SpeedGeneration speed against a 40 tokens/s target for LLMs, or render time against a target for image and video.	15.0 / 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
Total	69.8 / 100	69 ptsGood (B) · 69 of 100 points: Model quality 15.8/45, Memory fit 24.0/25, Speed 15.0/15, Memory use 15.0/15

Grade scale: S 85+ · A 72+ · B 58+ · C 42+ · D 25+ · F under 25 points.

Every quantization on the AMD Radeon RX 7900 XTX

Quant	Memory needed	Available	Speed	Fit	Grade · points	Download
`Q2_K`	22.6 GB	24.0 GB	69.4 tok/s	Tight fit	69 ptsGood (B) · 69 of 100 points: Model quality 15.8/45, Memory fit 24.0/25, Speed 15.0/15, Memory use 15.0/15	GGUF (opens in a new tab)
`Q3_K_M`	27.2 GB	24.0 GB	22.4 tok/s	Runs with offload	55 ptsUsable (C) · 55 of 100 points: Model quality 18.9/45, Memory fit 10.0/25, Speed 11.2/15, Memory use 15.0/15	GGUF (opens in a new tab)
`Q4_K_M`	33.4 GB	24.0 GB	9.6 tok/s	Runs with offload	53 ptsUsable (C) · 53 of 100 points: Model quality 21.4/45, Memory fit 10.0/25, Speed 7.3/15, Memory use 15.0/15	GGUF (opens in a new tab)
`Q5_K_M`	38.5 GB	24.0 GB	6.3 tok/s	Heavy offload	46 ptsUsable (C) · 46 of 100 points: Model quality 21.8/45, Memory fit 4.0/25, Speed 6.0/15, Memory use 15.0/15	GGUF (opens in a new tab)
`Q6_K`	44.2 GB	24.0 GB	4.5 tok/s	Heavy offload	46 ptsUsable (C) · 46 of 100 points: Model quality 22.3/45, Memory fit 4.0/25, Speed 5.1/15, Memory use 15.0/15	GGUF (opens in a new tab)
`Q8_0`	56.6 GB	24.0 GB	—	Won't run	6 ptsWon't run (F) · 6 of 100 points: Model quality 6.8/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	GGUF files (opens in a new tab)
`F16`	105 GB	24.0 GB	—	Won't run	6 ptsWon't run (F) · 6 of 100 points: Model quality 6.8/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	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

76 ptsGreat (A) · 76 of 100 points: Model quality 22.5/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 14.5/15 NVIDIA RTX PRO 6000 Blackwell Q8_0 · 46.7 tok/s
73 ptsGreat (A) · 73 of 100 points: Model quality 21.4/45, Memory fit 25.0/25, Speed 11.6/15, Memory use 15.0/15 Apple M4 Max (64 GB) Q4_K_M · 24.0 tok/s
72 ptsGreat (A) · 72 of 100 points: Model quality 18.9/45, Memory fit 24.0/25, Speed 15.0/15, Memory use 15.0/15 NVIDIA GeForce RTX 5090 Q3_K_M · 118 tok/s
71 ptsGood (B) · 71 of 100 points: Model quality 21.4/45, Memory fit 25.0/25, Speed 10.0/15, Memory use 15.0/15 Apple M1 Max (64 GB) Q4_K_M · 17.6 tok/s
69 ptsGood (B) · 69 of 100 points: Model quality 15.8/45, Memory fit 24.0/25, Speed 15.0/15, Memory use 15.0/15 NVIDIA GeForce RTX 3090 Q2_K · 78.6 tok/s

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.