mlx-community/LFM2.5-2.6B-8bit
Text Generation • 0.8B • Updated • 2
Jamone Kelly
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AutoGen from @Microsoft is crazy! 🚀 It's an open-source framework that allows LLM agents to chat with each other to solve your tasks. 🤖💬
They use the Assistant-Agent and User-Proxy-Agent framework! 🛠️
As the name suggests, the Assistant-Agent does the work, and the User-Proxy-Agent behaves like a human, guiding the Assistant-Agent and double-checking its work! 🧑💻✅
Both Assistant-Agent and User-Proxy-Agent can be the same or different LLMs. 🤔🔄
AutoGen is an open-source programming framework for building AI agents and facilitating cooperation among multiple agents to solve tasks. 🌟
This is truly amazing for building agentic AI quickly! 🚀✨
GitHub: https://github.com/microsoft/autogen 🔗
They use the Assistant-Agent and User-Proxy-Agent framework! 🛠️
As the name suggests, the Assistant-Agent does the work, and the User-Proxy-Agent behaves like a human, guiding the Assistant-Agent and double-checking its work! 🧑💻✅
Both Assistant-Agent and User-Proxy-Agent can be the same or different LLMs. 🤔🔄
AutoGen is an open-source programming framework for building AI agents and facilitating cooperation among multiple agents to solve tasks. 🌟
This is truly amazing for building agentic AI quickly! 🚀✨
GitHub: https://github.com/microsoft/autogen 🔗
from autogen import AssistantAgent, UserProxyAgent, config_list_from_json
#config
config_list = config_list_from_json(env_or_file="OAI_CONFIG_LIST")
assistant = AssistantAgent("assistant", llm_config={"config_list": config_list})
user_proxy = UserProxyAgent("user_proxy", code_execution_config={"work_dir": "coding", "use_docker": False})
user_proxy.initiate_chat(assistant, message="Plot a chart of NVDA and TESLA stock price change YTD.")
# This initiates an automated chat between the two agents to solve the taskreacted to Jaward's post with 🔥 about 2 years ago
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2318
BrainGPT - Fun Weekend Project:)
Getting creative with a sci-fi 3D point cloud model of the brain - you prompt the model with questions about AI research frameworks that were deeply inspired by parts of the brain, you get a response with related papers 😂
Getting creative with a sci-fi 3D point cloud model of the brain - you prompt the model with questions about AI research frameworks that were deeply inspired by parts of the brain, you get a response with related papers 😂
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1798
it's raining vision language models ☔️
CuMo is a new vision language model that has MoE in every step of the VLM (image encoder, MLP and text decoder) and uses Mistral-7B for the decoder part 🤓
You can try it yourself here: shi-labs/CuMo-7b-zero
the authors firstly did pre-training of MLP with the by freezing the image encoder and text decoder, then they warmup the whole network by unfreezing and finetuning which they state to stabilize the visual instruction tuning when bringing in the experts. 🤓
the mixture of experts MLP blocks above are simply the same MLP blocks initialized from the single MLP that was trained during pre-training and fine-tuned in pre-finetuning.
it works very well (also tested myself) that it outperforms the previous sota of it's size LLaVA NeXt and IDEFICS2-8B in several benchmarks! 😍
CuMo is a new vision language model that has MoE in every step of the VLM (image encoder, MLP and text decoder) and uses Mistral-7B for the decoder part 🤓
You can try it yourself here: shi-labs/CuMo-7b-zero
the authors firstly did pre-training of MLP with the by freezing the image encoder and text decoder, then they warmup the whole network by unfreezing and finetuning which they state to stabilize the visual instruction tuning when bringing in the experts. 🤓
the mixture of experts MLP blocks above are simply the same MLP blocks initialized from the single MLP that was trained during pre-training and fine-tuned in pre-finetuning.
it works very well (also tested myself) that it outperforms the previous sota of it's size LLaVA NeXt and IDEFICS2-8B in several benchmarks! 😍
reacted to Taylor658's post with 🔥 about 2 years ago
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1711
Another excellent course has launched on Hugging Face Learn https://huggingface.co/learn
HF Developer Advocate Dylan Ebert has officially launched the ML for 3D Course! 🤗
Check it out @ https://huggingface.co/learn/ml-for-3d-course/unit0/introduction
YT Channel: https://www.youtube.com/@IndividualKex
GitHub: https://github.com/huggingface/ml-for-3d-course
HF Developer Advocate Dylan Ebert has officially launched the ML for 3D Course! 🤗
Check it out @ https://huggingface.co/learn/ml-for-3d-course/unit0/introduction
YT Channel: https://www.youtube.com/@IndividualKex
GitHub: https://github.com/huggingface/ml-for-3d-course
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xAI releases the weights for Grok-1. Apparently it's a 314B MoE with 25% of the weights active on a given token.
Blog: https://x.ai/blog/grok-os
Code: https://github.com/xai-org/grok
Model: xai-org/grok-1
Weights: magnet:?xt=urn:btih:5f96d43576e3d386c9ba65b883210a393b68210e&tr=https%3A%2F%2Facademictorrents.com%2Fannounce.php&tr=udp%3A%2F%2Ftracker.coppersurfer.tk%3A6969&tr=udp%3A%2F%2Ftracker.opentrackr.org%3A1337%2Fannounce
Blog: https://x.ai/blog/grok-os
Code: https://github.com/xai-org/grok
Model: xai-org/grok-1
Weights: magnet:?xt=urn:btih:5f96d43576e3d386c9ba65b883210a393b68210e&tr=https%3A%2F%2Facademictorrents.com%2Fannounce.php&tr=udp%3A%2F%2Ftracker.coppersurfer.tk%3A6969&tr=udp%3A%2F%2Ftracker.opentrackr.org%3A1337%2Fannounce
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