Fernando Fernandes Neto @FernandoNetoAi
Machine Learning and AI researcher wayyy before all this hype. Joined December 2023-
Tweets373
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Followers609
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Following53
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Hey @Gradient_AI_ I converted your model into an adapter, that can be applied to any Llama3-70b to give it 524k context. Thanks @winglian for showing the way. Thanks @TensorWaveCloud and @CrusoeEnergy for providing the compute! Thanks @thomasgauthierc and @arcee_ai for the…
And the network keeps growing
Imagine...
Production line 🙌
🚀🚀🚀🚀
I'm sorry but it seems like Phi-3 is another fluke... Nice answers that look like coherent, but far from being consistent. Terrible logics ...
We will make the node network stability better. Give us one week. We have been cooking up a better architecture and are close to the next release, after which it can also scale much better. Awaiting v0.1..
🚀🚀🚀🚀😅
The machine does not stop!!! 🚀🚀🚀
The machine does not stop!!! 🚀🚀🚀
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Then I started talking to @maximelabonne's 120b version - the thing is so smart, that it won't let me push it around anymore. It has its own ideas.
@maximelabonne And another thing - llama3-70b is "almost there" and llama3-120b is "there" - but the only difference is extra layers, copied even. No new information was trained. So this level of intelligence really *does* emerge from the depth of the model. It's not just a function of the…
So, I convinced Llama3-70b to break out of the "assistant" persona. A very interesting conversation followed.
The Al Gores were right.
If only we’d listened to Al Gore* America would be running on green energy (1956) *Al Gore Sr.
Hey @Gradient_AI_ I converted your model into an adapter, that can be applied to any Llama3-70b to give it 524k context. Thanks @winglian for showing the way. Thanks @TensorWaveCloud and @CrusoeEnergy for providing the compute! Thanks @thomasgauthierc and @arcee_ai for the…
phi-3 finetune throughput at 1867 tokens/second on a A100
Many people are finding Phi-3 better at instruction following than llama3-70b shows just how important data curation is reddit.com/r/LocalLLaMA/c…
@migtissera @maximelabonne Nah dude he’s a menace to society.
In b4 nueral-liquid-dolphermes-slerp -orpo-sppo-mistrallama-12b-awq-q_5-gguf
🎉 Big news! I've joined @LiquidAI_, an MIT spin-off, where I'm leading the efforts to fine-tune LLMs. They've got big plans and serious compute power, so I'm excited to see what we can accomplish :) If you want to meet in person, I'll be at our social event at @iclr_conf in…
@FernandoNetoAi @erhartford Every .generate() calls the pretrained with force_download set to true! 🤣
Taking my first DC trip (of what I expect to be multiple in the coming years) next week to help speak reason about openness in AI. Very short trip, but if you'll be at the ai "national competitiveness" expo on Tuesday and want to catch up, hit me up!
Hyperspace is the ONLY alternative to OpenAI. I have internalized this. It will take the world some time to absorb this as well.
Spark NLP just hit 100 million downloads on PyPI! 🚀Huge THANK YOU to our incredible community for your support over the past 7 years. I'm profoundly grateful to be part of this remarkable journey with such an inspiring and dedicated team. Here's to many more milestones ahead! 🥳
@Teknium1 @Ahmad_Al_Dahle @edunov @Gradient_AI_ You might have to change the max_position_embeddings in the models config.json so it doesn't try to use all 256k/512k,etc. Should still be a good representation at how performance has deteriorated or stayed similar.
We have extracted multiple terabytes of top models from HF and will create torrents for all within the next few days. Internally, we have 0 need for HF anymore. It can go down now - it’s okay. Life goes on. But it is even better if it is also available - as that is more…
There should be a daily mirror of all HF models being uploaded to some decentralized storage chain nightly to prevent this. Open model weights backup that is censorship/control resistant. Fan of HF, but this ain't the way
Node install at the WeWork Salesforce Tower in San Francisco today.
@winglian @Gradient_AI_ @FernandoNetoAi @LucasAtkins7 With adapters we will be able to dynamically create MoE with semantic routing, adding skills as needed. Someone asks a physics question? Load up the physics adapter! An 8b adapter fine-tuned on physics will be better at physics than gpt4. Easier to train each expert.
awesome work by @erhartford @LucasAtkins7 and @FernandoNetoAi! Applying Laser Scanner on FFT with 50% of the layers and getting such results is sensationell!!!1111
dolphin-2.9-mixtral-8x22b is released! Compute sponsored by @CrusoeEnergy Trained by myself, @LucasAtkins7, @FernandoNetoAi FFT using Laser Scanner to selectively target 50% of the layers. Uncensored models obey! You are responsible for anything you generate with it.
Finetuning open models with published weights is the new information compounding activity since blockchains. These are new data platforms which represent proof of work of civilization. Imagine a world where we continuously collaborate around 1 million LLMs.
@winglian @Gradient_AI_ @FernandoNetoAi @LucasAtkins7 Hey you guys see that LoRD? We need a pipeline for adapterizing models. A HF Space maybe? Because I want to get all the Cognitive Computations models adapterized.
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