M3 Max is a Machine Learning BEAST. So I took it for a spin with some LLM’s running locally.

Temperature/fan on your Mac: https://www.tunabellysoftware.com/tgpro/index.php?fpr=alex (Affiliate link)

Run Windows on a Mac: https://prf.hn/click/camref:1100libNI (Affiliate)

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* ๐Ÿ๐Ÿ’ฅ New MacBook Air M1 Deal: https://amzn.to/3S59ID8
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๐ŸŽฅ Related Videos ๐ŸŽฅ
* ๐ŸŒ— RAM torture test on Mac – https://youtu.be/l3zIwPgan7M
* ๐Ÿ› ๏ธ Set up Conda on Mac – https://youtu.be/2Acht_5_HTo
* ๐Ÿ‘จโ€๐Ÿ’ป 15″ MacBook Air | developer’s dream – https://youtu.be/A1IOZUCTOkM
* ๐Ÿค– INSANE Machine Learning on Neural Engine – https://youtu.be/Y2FOUg_jo7k
* ๐Ÿ’ป M2 MacBook Air and temps – https://youtu.be/R7F-TxEukdY
* ๐Ÿ’ฐ This is what spending more on a MacBook Pro gets you – https://youtu.be/iLHrYuQjKPU
* ๐Ÿ› ๏ธ Developer productivity Playlist – https://www.youtube.com/playlist?list=PLPwbI_iIX3aQCRdFGM7j4TY_7STfv2aXX

00:00 Intro
00:40 Build from scratch – manual
09:44 Bonus script – automated
11:21 LM Studio – one handed


//assuming you already have a conda environment set up, and dev tools installed (see videos above for instructions)
*Part 1 – manual*
brew install git-lfs
git lfs install
git clone https://github.com/ggerganov/llama.cpp
cd llama.cpp
pip install -r requirements.txt
git clone https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B openhermes-7b-v2.5
mv openhermes-7b-v2.5 models/
python3 convert.py ./models/openhermes-7b-v2.5 –outfile ./models/openhermes-7b-v2.5/ggml-model-f16.gguf –outtype f16
./quantize ./models/openhermes-7b-v2.5/ggml-model-f16.gguf ./models/openhermes-7b-v2.5/ggml-model-q8_0.gguf q8_0
./quantize ./models/openhermes-7b-v2.5/ggml-model-f16.gguf ./models/openhermes-7b-v2.5/ggml-model-q4_k.gguf q4_k
./batched-bench ./models/openhermes-7b-v2.5/ggml-model-f16.gguf 4096 0 99 0 2048 128,512 1,2,3,4
./server -m models/openhermes-7b-v2.5/ggml-model-q4_k.gguf –port 8888 –host –ctx-size 10240 –parallel 4 -ngl 99 -n 512

*Part 2 – auto*
bash -c “$(curl -s https://ggml.ai/server-llm.sh)”

๐Ÿ’ป MacBooks in this video
M3 Max (16/40) 16″ MacBook Pro 64GB/2TB

#m3max #macbook #macbookpro

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