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BitsAndBytes Config on Muck Rack

BitsAndBytes Config

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Articles

Small Language Models with Hugging Face transformers Library + smolLM3

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By Shittu Olumide, AutoModel ForCausalLM, BitsAndBytes Config
| KDnuggets Verified
Running a 70B model in production is expensive, and for many tasks, unnecessary. If you're building a focused pipeline, a well-trained 3B model will match or beat the 70B on your specific task at a fraction of the cost. Running a 70B model in production can be expensive, slow, and, for many tasks, unnecessary.
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(LoRA) Fine-Tuning FLUX.1-dev on Consumer Hardware

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By BitsAndBytes Config
| huggingface.co
In our previous post, Exploring Quantization Backends in Diffusers, we dived into how various quantization techniques can shrink diffusion models like FLUX.1-dev, making them significantly more accessible for inference without drastically compromising performance. We saw how bitsandbytes, torchao, and others reduce memory footprints for generating images. Performing inference is cool, but to make these models truly our own, we also need to be able to fine-tune them.
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13주차 필기록 통합본

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By AutoModel ForCausalLM, BitsAndBytes Config, Uv Venv
| velog.io
ADK를 시작해본다 https://aistudio.google.com/u/1/prompts/new_chat?pli=1 GOOGLE_API_KEY=AIz... GOOGLE_GENAI_USE_VERTEXAI=FALSE pip install google-adk==1.9.0 from google.adk.agents import Agent def greet_user() -> str: return "안녕" root_agent = Agent( name='skn_agent', model="gemini-2.5-flash", description='테스트', instruction='사용자에게 친한 친구처럼 인사해', tools = [greet_user] ) (base) C:\skn-25\wk13\adk_test>adk web .env에서 일일이 설정 귀찮으면 시스템 환경 변수에서 설정도 가능하다.
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