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Ollama has released the quantized version. https://ollama.ai/library/codellama:70b https://ollama.ai/library/codellama:70b https://x.com/ollama/status/17520346
by annjose 3y ago
Ollama has released the quantized version.
https://ollama.ai/library/codellama:70b https://ollama.ai/library/codellama:70b
https://x.com/ollama/status/1752034686615048367?s=20 https://x.com/ollama/status/1752034686615048367?s=20
Just need to run `ollama run codellama:70b` - pretty fast on macbook.
- kungfupawnda 3y agoI'm trying to understand how this works.. does it actually run the model on the MacBook Pro? Sorry I am totally new to this...
- annjose 3y agoYes, it runs a quantized [1] version of the model locally. This version uses low-precision data types to represent reduced weights and activations (8-bit integer instead of 32-bit). The specific model published by Ollama uses 4-bit quantization [2] and that's why it is able to run on MacBook pro. If you want to try it out, this blog post[3] shows how to do it step by step - pretty straightforward. [1] https://huggingface.co/docs/optimum/concept_guides/quantization https://huggingface.co/docs/optimum/concept_guides/quantizat... [2] https://ollama.ai/library/codellama:70b https://ollama.ai/library/codellama:70b [3] https://annjose.com/post/run-code-llama-70B-locally/ https://annjose.com/post/run-code-llama-70B-locally/
- deleted 3y ago[deleted]
- kungfupawnda 3y agoThanks, I got all but the 70b model to work. It slows to a crawl on the Mac with 36 gb ram.
- annjose 3y agoCool. I am running this on M2 Max 64GB. Here is how it looks on my terminal [1]. Btw, the very first run after downloading the model is slightly slow, but the subsequent runs are ok. [1] https://asciinema.org/a/fFbOEfeTxRShBGbqslwQMfJS4 https://asciinema.org/a/fFbOEfeTxRShBGbqslwQMfJS4 Note: This recording is in real-time speed, not sped-up.
- kungfupawnda 3y agoI am returning the M3 max 36 GB and picking this model instead. Saves me a grand and it seems to be much more powerful..
- mkevac 3y agoWhat do you mean you are returning it? It has been used already.
- sciencesama 3y agoollama run codellama:70b pulling manifest pulling 1436d66b6 1.1 GB/ 38 GB 24 MB/s 25m21s
- theLiminator 3y agoDo you know how much vram is required?
- israrkhan 3y agoif you are asking about Apple silicon based Macs, they have integerated GPUs and do not have dedicated graphics memory (UMA) For running 4 bit quantized model, with 70B parameters you will need around 35G Ram to load it in the memory. So I sould say a Mac with at least 48G memory. That is M3 Max.
- DaPowaa 3y agoReally? what kinda macbook pro do you need to run it fast? will a M1 with 16GB ram work? or do we need something super beefy like a M2 fully decked out at 96GB ram to make it run?
- israrkhan 3y agoM1 with 16GB Ram will barely run codellama:13b