Share your hardware + whichllm results

[Andyyyy64]

I'd love to collect real-world results from different machines.

Before posting, please make sure you're on the latest whichllm version. The latest release is currently v0.5.2.

Check:

whichllm --version

Update if needed:

uv tool upgrade whichllm
# or
brew upgrade andyyyy64/whichllm/whichllm
# or
pip install -U whichllm

Then please share:

• whichllm hardware
• whichllm --top 5
• OS / Python version
• GPU model and VRAM
• anything that looked wrong or surprising

Especially useful setups:

• Apple Silicon
• NVIDIA passthrough / VMs
• AMD APUs / Strix Halo
• Intel iGPUs
• Windows
• multi-GPU machines
• CPU-only machines

This helps make detection, ranking, and future test fixtures much better.

[jasonnaylor-tester]

This tool is awesome. Thanks.

python --version
Python 3.11.9
whichllm --version
0.5.7

HARDWARE
│ GPU 0: AMD Radeon RX 7900 XTX — 24.0 GB (shared memory) — BW: 960 GB/s
│ CPU: AMD Ryzen 7 5700X3D 8-Core Processor — 8 cores (AVX2)
│ RAM: 63.9 GB
│ Disk free: 109.1 GB
│ OS: windows

TOP 5
│ 1 │ Qwen/Qwen3.6-27B │ 27.8B │ Q5_K_M │ 2026-04-21 │ 4.2M │ 91.8 │ apache-… │
│ 2 │ Qwen/Qwen3-30B-A3B │ 30.5B │ Q5_K_M │ 2025-04-27 │ 2.0M │ 82.8 │ apache-… │
│ 3 │ Qwen/Qwen3-32B │ 32.8B │ Q4_K_M │ 2025-04-27 │ 7.0M │ 82.0 │ apache-… │
│ 4 │ google/gemma-4-26B-A4B-it │ 26.5B │ Q6_K │ 2026-03-11 │ 10.1M │ 81.7 │ apache-… │
│ 5 │ google/gemma-4-31B-it │ 32.7B │ Q4_K_M │ 2026-03-11 │ 10.4M │ 81.1 │ apache-… │

[JuiceB0xC0de]

── Hardware Info ───────────────╮
│ GPU 0: Apple M3 — 8.0 GB shared — BW: 100 GB/s
│ CPU: Apple M3 — 8 cores
│ RAM: 8.0 GB
│ Disk free: 27.8 GB
│ OS: darwin

1 │ Qwen/Qwen3-8B 8.2B │ Q4_K_M │ 2025-04-27 │ 12.1M │ 61.2 │ apache
2 │ google/gemma-3-12b-it 12.2B │ Q3_K_M │ 2025-03-01 │ 3.0M │ 51.7 │ gemma
3 │ deepseek-ai/DeepSeek-R1-Distill-Llama-8B 8.0B │ Q4_K_M │ 2025-01-20 │ 486.0K │ 51.3 │ mit
4 │ google/gemma-2-9b-it 9.2B │ Q4_K_M │ 2024-06-24 │ 414.5K │ 46.0 │ gemma
5 │ Qwen/Qwen2.5-7B-Instruct 7.6B│ Q5_K_M │ 2024-09-16 │ 12.5M │ 45.6 │ apache

[francis0304]

Hardware Info
│ GPU 0: NVIDIA GeForce RTX 4090 Laptop GPU — 16.0 GB (CC 8.9, CUDA 13.0) — BW: 1008 GB/s
│ GPU 1: Intel(R) UHD Graphics — shared memory — BW: N/A
│ CPU: 13th Gen Intel(R) Core(TM) i9-13950HX — 24 cores (AVX2)
│ RAM: 31.7 GB
│ Disk free: 560.0 GB
│ OS: windows

1 │ Qwen/Qwen3.6-27B │ 27.8B │ Q3_K_M │ 2026-04-21 │ 5.6M │ 89.4 │ apache-… │
2 │ google/gemma-4-26B-A4B-it │ 26.5B │ Q4_K_M │ 2026-03-11 │ 12.3M │ 79.6 │ apache-… │
3 │ Qwen/Qwen3-30B-A3B │ 30.5B │ Q3_K_M │ 2025-04-27 │ 2.1M │ 79.2 │ apache-… │
4 │ openai/gpt-oss-20b │ 21.5B │ Q5_K_M │ 2025-08-04 │ 7.5M │ 77.6 │ apache-… │
5 │ Qwen/Qwen3-14B │ 14.8B │ Q6_K │ 2025-04-27 │ 1.9M │ 77.1 │ apache-… │