OpenCL not mentioned, and so raw hardware level code most likely. Maybe no one else cares, but higher level code means more portability.
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What is the link with rocm?
AMD uses opencl as its high level API. Nvidia, Intel also supports it. Chinese cards might too. Very few LLMs use high level APIs such as CUDA or OpenCL
I'll be bookmarking the website & thank you
Every AI model outperforms every other model in the same weight class when you cherry pick the metrics... Although it's always good to have more to choose from
I've shared this AI because it's one of the best fully open source AI
Properly open source.
The model, the weighting, the dataset, etc. every part of this seems to be open. One of the very few models that comply with the Open Software Initiative's definition of open source AI.
Look at the picture in my post.
There was others open models but they were very below the "fake" open source models like Gemma or Llama, but Instella is almost to the same level, great improvement
3B
That's one more than 2B so she must be really hot!
/nierjokes
AMD knew what they were doing.
Can't judge you for wanting to **** her or whatever, just don't ask her for freebies. She won't care if you are a human at that point.
That's a real stretch. 3B is basically stating the size of the model, not the name of the model.
Help me understand how this is Open Source? Perhaps I'm missing something, but this is Source Available.
The source code on these models is almost too boring to care about. Training data and weights is what really matters.
Instead of the traditional open models (like llama, qwen, gemma...) that are only open weight, this model says that it has :
Fully open-source release of model weights, training hyperparameters, datasets, and code
Making it different from other big tech "open" models. Tough it exists other "fully open" models like GPT neo, and more
Nice and open source . Similar performance to Qwen 2.5.
(also ... https://www.tomsguide.com/ai/i-tested-deepseek-vs-qwen-2-5-with-7-prompts-heres-the-winner ← tested DeepSeek vs Qwen 2.5 ... )
→ Qwen 2.5 is better than DeepSeek.
So, looks good.
Dont know if this test in a good representation of the two AI, but in this case it seems pretty promising, the only thing missing is a high parameters model
And we are still waiting on the day when these models can actually be run on AMD GPUs without jumping through hoops.
In other words, waiting for the day when antitrust law is properly applied against Nvidia's monopolization of CUDA.
That is a improvement, if the model is properly trained with rocm it should be able to run on amd GPU easier
Nice. Where do I find the memory requirements? I have an older 6GB GPU so I've been able to play around with some models in the past.
LMstudio usually lists the memory recommendations for the model.
No direct answer here, but my tests with models from HuggingFace measured about 1.25GB of VRAM per 1B parameters.
Your GPU should be fine if you want to play around.
Following this page it should be enough based on the requirements of qwen2.5-3B https://qwen-ai.com/requirements/
It's about AI.
I know it's not the point of the article but man that ai generated image looks bad. Like who approved that?
Oh yeah you're right :-)