• 3 Posts
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Joined 1 year ago
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Cake day: July 20th, 2023

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  • I actually enjoy retro gaming. Earthbound and mother 3 are my favorite games! The professor Layton serie is also great! The thing is, while retro games are a huge source of “free” games, they’re often too hard. I also found myself falling in a rabbit hole with an entire generation of retro games that nobody cares about anymore despite being full of great games : flip phone java games" (j2me). I highly recommend trying them if you want to play games on your phone without being thrown a billion ad and microtransactions. Just play the touchscreen variants and your golden. Some good games are : doom RPG 2 and Wolfenstein RPG, literally any game by digital chocolate.

    thanks a lot for recommandation, sea of stars and pizza tower look 👌! and yeah my machine isn’t capable to run bigger 3d games. Lol.




  • Tried braid and got bored real quick.

    Tried fez and didn’t even continue past the first 30 min

    Tried Undertale, but basically knew the story already from spoilers, and it was kinda boring, uninteresting and too hard.

    Played Crashlands and it was a grindfest that actually made me relieved that I finished the game, only to discover it was planet 1 of 3. 👉Uninstalled.

    Really enjoyed fear and hunger despite being shit at the game and ended up just cheating. (Was still freaking hard 😭)

    Finished and enjoyed Limbo.

    I just want a game with a great story, a gameplay with medium low difficulty that isn’t a grindfest and isn’t too long ( usually caused by the endless grinding).












  • Completely forgot to tell you to only use quantized models. Your pc can run 4bit quantized versions of the models I mentioned. That’s the key for running llms on at consumer level hardware. You can later read further about the different quantizations and toy with other ones like Q5_K_M and such.

    Just read phi-3 got released and apparently it’s a 4B that reach gpt 3.5 level. Follow the news and wait for it to be add to ollama/llama.ccp

    Thank you so much for taking the time to help me with that! I’m very new to the whole LLM things, and sorta figuring it out as I go

    I became fascinated with llms after the first AI booms but all this knowledge is basically useless where I live, so might as well make it useful by teaching people what i know.



  • Yeah, it’s not a potato but not that powerful eaither. Nonetheless, it should run a 7b/8b/9b and maybe 13b models easily.

    running them in Python with Huggingface’s Transformers library (from local models

    That’s your problem right here. Python is great for making llms but is horrible at running them. With a computer as weak as yours, every bit of performance counts.

    Just try ollama or llama.ccp . Their github is also a goldmine for other projects you could try.

    Llama.ccp can partially run the model on the gpu for way faster inference.

    Piper is a pretty decent very lightweight tts engine that can be directly run on your cpu if you want to add tts capabilities to your setup.

    Good luck and happy tinkering!




  • Sadly, can’t really help you much. I have a potato pc and the biggest model I ran on it was Microsoft phi-2 using the candle framework. I used to tinker with Llama.cpp on colab, but it seems they don’t handle llama3 yet. ollama says it does , but I’ve never tried it before. For the speed, It’s kinda expected for a 70b model to be really slow on the CPU. How much slow is too slow ? I don’t really know…

    You can always try the 8b model. People says it’s really great and even replaced the 70b models they’ve been using.