yup it looks like some of them are not llama3. probably more ~500 are llama3 based (everything older than that can't be llama3: https://
huggingface.co/models?p=17&so
rt=modified&search=llama3
…)
@clementdelangue
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Llama3 Models Analysis on Hugging Face Repository
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Llama3 Model Variants Proliferate: Fine-Tuning for Specific Use Cases
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Already almost 1,000 llama3 model variations have been shared publicly on HF (many more in private use at companies): https://
huggingface.co/models?sort=cr
eated&search=llama3
…. Everyone should fine-tune their own models for their use-cases, languages, industry, infra constraints,… 10,000 llama3 variants by -
Ranking Llama3 Models by Recent Updates on Hugging Face
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you're right, my bad! probably better to rank by "recently updated" https://
huggingface.co/models?sort=mo
dified&search=llama3
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Over 1M AI Models Released Daily on Hugging Face
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Great article by @TechCrunch but what we've been saying for years is even more extreme than that. There's over 1M models on HF & thousands are released every day! Ultimately, there will be as many models as code repositories for every single company, use-case and features. The
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Making AI Girlfriends: The Next Frontier in Conversational AI
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now we have to make it an AI girlfriend to really go full circle
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Llama3 Autotraining Now Available on NVIDIA DGX Cloud
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You can already autotrain (no code needed) Llama3 on @nvidia DGX cloud thanks to our new integration
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Llama3 Now Available on Major Cloud AI Platforms
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Not everyone is aware but the fact that llama3 has been added to HF on day one means that right away, you can easily run it on @aws Sagemaker, @microsoft AzureML, @googlecloud Vertex and the @huggingface hosted solutions (autotrain, spaces, serverless and dedicated endpoints).
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Leveraging Hugging Face Hub and Community for AI Projects
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Very cool! Should find a way to take advantage of the hf hub or community!
