2 results for "5a9b34df5cdbc86a6e01ab3fefa75969"
I had brought up recelling CMOS batteries before. Easy-peasy task with electrical tape and a CR2032 button battery, just be careful not to let the negative and positive short together. A convenient solution in certain circumstances, otherwise, it is easiest to buy a normal replacement. Now I understand how leads are normally welded on without solder: ultrasonic welding. I had no idea such thing existed.

>>106146628
used older machine indeed on the used market, and the OS matters not so long as you are prepared to install Win10 and any needed manufacturer drivers are available for Win10

>>106151678
Honeyview
/lmg/ - Local Models General
/lmg/ - a general dedicated to the discussion and development of local language models.

Previous threads: >>106127784 & >>106119921

►News
>(08/01) XBai o4 32B released: https://hf.co/MetaStoneTec/XBai-o4
>(07/31) Qwen3-Coder-30B-A3B released: https://hf.co/Qwen/Qwen3-Coder-30B-A3B-Instruct
>(07/31) Command A Vision: Built for Business: https://cohere.com/blog/command-a-vision
>(07/31) Step3 multimodal reasoning 321B-A38B released: https://stepfun.ai/research/en/step3
>(07/31) Committed: llama-server : implement universal assisted decoding: https://github.com/ggml-org/llama.cpp/pull/12635

►News Archive: https://rentry.org/lmg-news-archive
►Glossary: https://rentry.org/lmg-glossary
►Links: https://rentry.org/LocalModelsLinks
►Official /lmg/ card: https://files.catbox.moe/cbclyf.png

►Getting Started
https://rentry.org/lmg-lazy-getting-started-guide
https://rentry.org/lmg-build-guides
https://rentry.org/IsolatedLinuxWebService
https://rentry.org/recommended-models
https://rentry.org/tldrhowtoquant
https://rentry.org/samplers

►Further Learning
https://rentry.org/machine-learning-roadmap
https://rentry.org/llm-training
https://rentry.org/LocalModelsPapers

►Benchmarks
LiveBench: https://livebench.ai
Programming: https://livecodebench.github.io/leaderboard.html
Code Editing: https://aider.chat/docs/leaderboards
Context Length: https://github.com/adobe-research/NoLiMa
Censorbench: https://codeberg.org/jts2323/censorbench
GPUs: https://github.com/XiongjieDai/GPU-Benchmarks-on-LLM-Inference

►Tools
Alpha Calculator: https://desmos.com/calculator/ffngla98yc
GGUF VRAM Calculator: https://hf.co/spaces/NyxKrage/LLM-Model-VRAM-Calculator
Sampler Visualizer: https://artefact2.github.io/llm-sampling

►Text Gen. UI, Inference Engines
https://github.com/lmg-anon/mikupad
https://github.com/oobabooga/text-generation-webui
https://github.com/LostRuins/koboldcpp
https://github.com/ggerganov/llama.cpp
https://github.com/theroyallab/tabbyAPI
https://github.com/vllm-project/vllm