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Can the AMD Radeon RX 9070 XT run Falcon-H1R 7B?

79 ptsGreat (A) · 79 of 100 points: Model quality 25.2/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 14.2/15

Yes, it runs well

Runs well. At Q8_0 it needs about 9.8 GB of 16.0 GB usable, with an estimated speed of 45.4 tok/s.

Best quant
Q8_0
Generation speed
45.4 tok/s
Prompt processing
7,948 tok/s
First token (1K prompt)
0.3 s
Largest safe context
142K

Download Falcon-H1R 7B

Recommended for the AMD Radeon RX 9070 XT: Q8_0. 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 Q8_0 file (opens in a new tab)

huggingface.co/tiiuae/Falcon-H1R-7B-GGUF (opens in a new tab)

ollama run hf.co/tiiuae/Falcon-H1R-7B-GGUF:Q8_0

Original weights · Hugging Face

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

huggingface.co/tiiuae/Falcon-H1R-7B (opens in a new tab)

No sign-in needed.

Official repo · GitHub

Reference code, inference scripts and docs from TII. The weights themselves download from Hugging Face.

github.com/tiiuae/Falcon-H1 (opens in a new tab)

git clone https://github.com/tiiuae/Falcon-H1

Links checked 1 week ago against Hugging Face, Ollama and GitHub.

How the A 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.25.2 / 45
Memory fitFull marks when everything sits in GPU or unified memory; fewer when part spills to system RAM.25.0 / 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.14.2 / 15
Total79.4 / 10079 ptsGreat (A) · 79 of 100 points: Model quality 25.2/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 14.2/15

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

Every quantization on the AMD Radeon RX 9070 XT

Quant Memory needed Available Speed Fit Grade · points Download
Q2_K 4.8 GB 16.0 GB 146 tok/s Runs well 64 ptsGood (B) · 64 of 100 points: Model quality 17.6/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 6.9/15 GGUF (opens in a new tab)
Q3_K_M 5.5 GB 16.0 GB 115 tok/s Runs well 69 ptsGood (B) · 69 of 100 points: Model quality 21.2/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 7.9/15 GGUF (opens in a new tab)
Q4_K_M 6.4 GB 16.0 GB 89.1 tok/s Runs well 73 ptsGreat (A) · 73 of 100 points: Model quality 23.9/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 9.2/15 GGUF (opens in a new tab)
Q5_K_M 7.2 GB 16.0 GB 73.6 tok/s Runs well 74 ptsGreat (A) · 74 of 100 points: Model quality 24.4/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 10.3/15 GGUF (opens in a new tab)
Q6_K 8.0 GB 16.0 GB 61.8 tok/s Runs well 76 ptsGreat (A) · 76 of 100 points: Model quality 24.9/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 11.5/15 GGUF (opens in a new tab)
Q8_0 9.8 GB 16.0 GB 45.4 tok/s Runs well 79 ptsGreat (A) · 79 of 100 points: Model quality 25.2/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 14.2/15 GGUF (opens in a new tab)
F16 16.9 GB 16.0 GB 14.4 tok/s Runs with offload 59 ptsGood (B) · 59 of 100 points: Model quality 25.2/45, Memory fit 10.0/25, Speed 9.0/15, Memory use 15.0/15 GGUF (opens in a new tab) 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.