The backend of the multi-agent LLM was set to DeepSeek V4.1 Flash Abliterated and Jev, and system 1 was…
The backend of the multi-agent LLM was set to DeepSeek V4.1 Flash Abliterated and Jev, and system 1 was handled by Jev and system 2 was handled by DeepSeek. Both Jev and DeepSeek are fast, so the simulation is extremely fast.
DSH Desktop enterprise version released｜Zero configuration for employees, unified management of models, quotas, and usage
When enterprises use AI, they are stuck on the same three issues: who is using it, which models can be used, and how much is used. DSH Desktop by Dataelem Enterprise Edition gives the answer: · Employees fill in the enterprise platform address once and log in with the enterprise account (SSO is supported), and the model is automatically in place without touching the manufacturer's key. ·…
Don’t buy expensive graphics cards anymore. This project uses idle mobile phones, tablets, and computers to form an AI computing cluster.
Achieved 4w+star on GitHub It unifies the computing power of all your devices into a virtual GPU, iPhone, iPad, Mac, Raspberry Pi, as long as they are connected to the same LAN No manual configuration is required, nodes are automatically discovered, p2p direct connection, and all inferences are run locally.
Loss for words. Minor error: how fast the difficulty increases.
I'll forgive. deepseek harness DavidAU/Qwen3.8-27B-Cold-Fusion-GAIN-V1.1-NM-DAU-NEO-MAX-MTP-GGUF Had to do 1 compaction.
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