do-me/Eurovoc_English
Updated
Dominik Weckmüller
do-me
AI & ML interests
Making AI more accessible. Working on semantic search, embeddings and Geospatial AI applications.
https://geo.rocks
Recent Activity
posted
an
update
about 12 hours ago
Wrote a quick one-liner to run Qwen3-Next-80B-A3B-Instruct-8bit with mlx-lm on MacOS with mlx-lm and uv:
```bash
curl -sL https://gist.githubusercontent.com/do-me/34516f7f4d8cc701da823089b09a3359/raw/5f3b7e92d3e5199fd1d4f21f817a7de4a8af0aec/prompt.py | uv run --with git+https://github.com/ml-explore/mlx-lm.git python - --prompt "What is the meaning of life?"
```
... or if you prefer the more secure 2-liner version (if you check the script before executing):
```
curl -sL https://gist.githubusercontent.com/do-me/34516f7f4d8cc701da823089b09a3359/raw/5f3b7e92d3e5199fd1d4f21f817a7de4a8af0aec/prompt.py -o prompt.py
uv run --with git+https://github.com/ml-explore/mlx-lm.git python prompt.py --prompt "What is the meaning of life?"
```
I get like 45-50 tokens on an M3 Max, pretty happy with the generation speed!
Stats from the video:
```bash
Prompt: 15 tokens, 80.972 tokens-per-sec
Generation: 256 tokens, 45.061 tokens-per-sec
Peak memory: 84.834 GB
```
new activity
about 12 hours ago
mlx-community/Qwen3-Next-80B-A3B-Instruct-8bit:ValueError: Model type qwen3_next not supported
liked
a Space
15 days ago
apple/fastvlm-webgpu
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