daavoo
daavoo
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3 days ago
𦥠Introducing Unsloth Dynamic v2.0 GGUFs!
Our v2.0 quants set new benchmarks on 5-shot MMLU and KL Divergence, meaning you can now run & fine-tune quantized LLMs while preserving as much accuracy as possible.
Llama 4: https://huggingface.co/unsloth/Llama-4-Scout-17B-16E-Instruct-GGUF
DeepSeek-R1: https://huggingface.co/unsloth/DeepSeek-R1-GGUF-UD
Gemma 3: https://huggingface.co/unsloth/gemma-3-27b-it-GGUF
We made selective layer quantization much smarter. Instead of modifying only a subset of layers, we now dynamically quantize all layers so every layer has a different bit. Now, our dynamic method can be applied to all LLM architectures, not just MoE's.
Blog with Details: https://docs.unsloth.ai/basics/dynamic-v2.0
All our future GGUF uploads will leverage Dynamic 2.0 and our hand curated 300Kâ1.5M token calibration dataset to improve conversational chat performance.
For accurate benchmarking, we built an evaluation framework to match the reported 5-shot MMLU scores of Llama 4 and Gemma 3. This allowed apples-to-apples comparisons between full-precision vs. Dynamic v2.0, QAT and standard iMatrix quants.
Dynamic v2.0 aims to minimize the performance gap between full-precision models and their quantized counterparts.
posted
an
update
3 days ago
We have just released a new version ofâhttps://github.com/mozilla-ai/any-agent âexposing an API to be used in `async` contexts:
```py
import asyncio
from any_agent import AgentConfig, AnyAgent, TracingConfig
from any_agent.tools import search_web
async def main():
agent = await AnyAgent.create_async(
"openai",
AgentConfig(
model_id="gpt-4.1-mini",
instructions="You are the main agent. Use the other available agents to find an answer",
),
managed_agents=[
AgentConfig(
name="search_web_agent",
description="An agent that can search the web",
model_id="gpt-4.1-nano",
tools=[search_web]
)
],
tracing=TracingConfig()
)
await agent.run_async("Which Agent Framework is the best??")
if __name__ == "__main__":
asyncio.run(main())
```
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