Check my GPU

on

Can the AMD Radeon RX 9060 XT 8GB run Gemma 1.1 7B IT?

48 ptsUsable (C) · 48 of 100 points: Model quality 8.8/45, Memory fit 10.0/25, Speed 15.0/15, Memory use 15.0/15

Yes, with part of the model in system RAM

Runs with offload. At Q2_K it needs about 8.2 GB of 8.0 GB usable, with an estimated speed of 56.1 tok/s.

Best quant
Q2_K
Generation speed
56.1 tok/s
Prompt processing
3,584 tok/s
First token (1K prompt)
0.3 s
Largest safe context
7K

Download Gemma 1.1 7B IT

Recommended for the AMD Radeon RX 9060 XT 8GB: Q2_K. Every other quantization has its own download link in the table below.

Quickest · Ollama

One command downloads a ready-to-run version and starts a chat.

ollama run gemma:7b-instruct-v1.1-q2_K

Get Ollama at ollama.com/download (opens in a new tab) · model page (opens in a new tab)

Quantized files · GGUF

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

huggingface.co/google/gemma-1.1-7b-it-GGUF (opens in a new tab)

ollama run hf.co/google/gemma-1.1-7b-it-GGUF

Original weights · Hugging Face

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

huggingface.co/google/gemma-1.1-7b-it (opens in a new tab)

Free Hugging Face account needed: request access on the model page, and Google approves it (usually within minutes to a few hours).

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

How the C 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.8.8 / 45
Memory fitFull marks when everything sits in GPU or unified memory; fewer when part spills to system RAM.10.0 / 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
Total48.8 / 10048 ptsUsable (C) · 48 of 100 points: Model quality 8.8/45, Memory fit 10.0/25, 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 9060 XT 8GB

Quant Memory needed Available Speed Fit Grade · points Download
Q2_K 8.2 GB 8.0 GB 56.1 tok/s Runs with offload 48 ptsUsable (C) · 48 of 100 points: Model quality 8.8/45, Memory fit 10.0/25, Speed 15.0/15, Memory use 15.0/15
Q3_K_M 8.9 GB 8.0 GB 30.0 tok/s Runs with offload 48 ptsUsable (C) · 48 of 100 points: Model quality 10.6/45, Memory fit 10.0/25, Speed 13.0/15, Memory use 15.0/15
Q4_K_M 10.0 GB 8.0 GB 18.1 tok/s Heavy offload 41 ptsPoor (D) · 41 of 100 points: Model quality 12.0/45, Memory fit 4.0/25, Speed 10.1/15, Memory use 15.0/15
Q5_K_M 10.8 GB 8.0 GB 13.3 tok/s Heavy offload 39 ptsPoor (D) · 39 of 100 points: Model quality 12.2/45, Memory fit 4.0/25, Speed 8.7/15, Memory use 15.0/15
Q6_K 11.8 GB 8.0 GB 10.2 tok/s Heavy offload 39 ptsPoor (D) · 39 of 100 points: Model quality 12.5/45, Memory fit 4.0/25, Speed 7.6/15, Memory use 15.0/15
Q8_0 13.8 GB 8.0 GB 6.7 tok/s Heavy offload 37 ptsPoor (D) · 37 of 100 points: Model quality 12.6/45, Memory fit 4.0/25, Speed 6.1/15, Memory use 15.0/15
F16 21.8 GB 8.0 GB — Won't run 3 ptsWon't run (F) · 3 of 100 points: Model quality 3.8/45, 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

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.