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sometimesanotion PRO

sometimesanotion

AI & ML interests

Agentic LLM services, model merging, finetunes, distillation

Recent Activity

reacted to danielhanchen's post with 🔥 about 1 hour ago

We fixed many bugs in Phi-4 & uploaded fixed GGUF + 4-bit versions! ✨ Our fixed versions are even higher on the Open LLM Leaderboard than Microsoft's! GGUFs: https://huggingface.co/unsloth/phi-4-GGUF Dynamic 4-bit: https://huggingface.co/unsloth/phi-4-unsloth-bnb-4bit You can also now finetune Phi-4 for free on Colab: https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Phi_4-Conversational.ipynb Read our blogpost for more details on bug fixes etc: https://unsloth.ai/blog/phi4

liked a model about 9 hours ago

unsloth/phi-4-unsloth-bnb-4bit

liked a model about 9 hours ago

unsloth/phi-4

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sometimesanotion's activity

reacted to danielhanchen's post with 🔥 about 1 hour ago

Post

1941

We fixed many bugs in Phi-4 & uploaded fixed GGUF + 4-bit versions! ✨

Our fixed versions are even higher on the Open LLM Leaderboard than Microsoft's!

GGUFs: unsloth/phi-4-GGUF
Dynamic 4-bit: unsloth/phi-4-unsloth-bnb-4bit

You can also now finetune Phi-4 for free on Colab: https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Phi_4-Conversational.ipynb

Read our blogpost for more details on bug fixes etc: https://unsloth.ai/blog/phi4

liked 4 models about 9 hours ago

liked a model 2 days ago

CultriX/Qwen2.5-14B-Hyperionv3

Text Generation • Updated 2 days ago • 24 • 2

New activity in CultriX/Qwen2.5-14B-Hyperionv3 2 days ago

Looking forward to these results!

#1 opened 2 days ago by

sometimesanotion

updated a model 2 days ago

sometimesanotion/Lamarck-14B-v0.6

Text Generation • Updated 2 days ago • 231 • 7

replied to CultriX's post 2 days ago

What an excellent demo! Bravo!

liked a Space 2 days ago

Running

💬

AutoGen MultiAgent Example

Example for running a multi-agent autogen workflow.

reacted to CultriX's post with ❤️🔥 2 days ago

Post

1552

# Space for Multi-Agent Workflows using AutoGen

Hi all, I created this "AutoGen Multi-Agent Workflow" space that allows you to experiment with multi-agent workflows.

By default, it allows code generation with built-in quality control and automatic documentation generation. It achieves this by leveraging multiple AI agents working together to produce high-quality code snippets, ensuring they meet the specified requirements.

In addition to the default, the space allows users to set custom system messages for each assistant, potentially completely changing the workflow.

# Workflow Steps
1. User Input:
- The user defines a prompt, such as "Write a random password generator using python."
- Outcome: A clear task for the primary assistant to accomplish.

2. Primary Assistant Work:
- The primary assistant begins working on the provided prompt.
It generates an initial code snippet based on the user's request.
- Outcome: An initial proposal for the requested code.

3. Critic Feedback:
- The critic reviews the generated code provides feedback or (if the output meets the criteria), broadcasts the APPROVED message.
(This process repeats until the output is APPROVED or 10 messages have been exchanged).
- Outcome: A revised Python function that incorporates the critic's feedback.

4. Documentation Generation:
- Once the code is approved, it is passed to a documentation assistant.
The documentation assistant generates a concise documentation for the final code.
- Outcome: A short documentation including function description, parameters, and return values.

Enjoy!
CultriX/AutoGen-MultiAgent-Example