deepcogito/cogito-v1-preview-llama-3B
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Victor Mustar PRO
victor
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Just signed up for the Reasoning Datasets Competition from Hugging Face, Together AI, and Bespoke Labs!
Looking forward to seeing what the community comes up with to help train better reasoning models.
Join the fray: https://www.bespokelabs.ai/blog/reasoning-datasets-competition
Looking forward to seeing what the community comes up with to help train better reasoning models.
Join the fray: https://www.bespokelabs.ai/blog/reasoning-datasets-competition
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Hi All, I recently released two Audio datasets which are generated using my earlier released dataset:
ajibawa-2023/Children-Stories-Collection
First Audio Dataset:https://huggingface.co/datasets/ajibawa-2023/Audio-Children-Stories-Collection-Large has 5600++ stories in .mp3 format.
Second Audio Dataset:https://huggingface.co/datasets/ajibawa-2023/Audio-Children-Stories-Collection has 600 stories in .mp3 format.
First Audio Dataset:https://huggingface.co/datasets/ajibawa-2023/Audio-Children-Stories-Collection-Large has 5600++ stories in .mp3 format.
Second Audio Dataset:https://huggingface.co/datasets/ajibawa-2023/Audio-Children-Stories-Collection has 600 stories in .mp3 format.
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Wondering how the new Google Agent Development Toolkit (ADK) compares against other frameworks? 🤔You can try it in
https://github.com/mozilla-ai/any-agent
any-agent 🚀 https://github.com/mozilla-ai/any-agent
agent = AnyAgent.create(
AgentFramework("google"),
AgentConfig(
model_id="gpt-4o-mini"
)
)
agent.run("Which Agent Framework is the best??")
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🎨 Designers, meet OmniSVG! This new model helps you create professional vector graphics from text/images, generate editable SVGs from icons to detailed characters, convert rasters to vectors, maintain style consistency with references, and integrate into your workflow.
@OmniSVG
@OmniSVG
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SecretSaauce
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You can now run Llama 4 on your own local device! 🦙
Run our Dynamic 1.78-bit and 2.71-bit Llama 4 GGUFs:
unsloth/Llama-4-Scout-17B-16E-Instruct-GGUF
You can run them on llama.cpp and other inference engines. See our guide here: https://docs.unsloth.ai/basics/tutorial-how-to-run-and-fine-tune-llama-4
Run our Dynamic 1.78-bit and 2.71-bit Llama 4 GGUFs:
unsloth/Llama-4-Scout-17B-16E-Instruct-GGUF
You can run them on llama.cpp and other inference engines. See our guide here: https://docs.unsloth.ai/basics/tutorial-how-to-run-and-fine-tune-llama-4
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