Moto assistant 0.5.7 freeware

"Jan" by janhq is a cutting-edge AI-powered assistant designed to revolutionize productivity. Seamlessly integrating with your workflow, Jan offers intelligent scheduling, task management, and real-time collaboration features. Its intuitive interface and robust AI capabilities ensure that you stay organized and efficient. Whether you're managing a team or handling personal projects, Jan is the ultimate tool to streamline your daily operations and boost your productivity. ...

Author janhq
Released 2024-10-24
Filesize 348.00 MB
Downloads 1186
OS Windows 11, Windows 10 64 bit
Installation Instal And Uninstall
Keywords Jan, download Jan, Jan free download, personal AI, assistant AI, AI assistant, assistant, custom, AI model
Users' rating
(14 rating)
Moto assistantComponentsWindows 11, Windows 10 64 bit
Our rating 5 freeware award
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Moto assistant freeware - The Latest User Reviews
Moto assistant freeware - The Latest Versions History
0.5.7 Oct 24, 2024 New Release Features:
feat: support markdown on user message @urmauur (#3848)
feat: save instruction for new threads as a stable feature @urmauur (#3798)
feat: Jan beta version @hiento09 (#3835)
Fixes:
fix: update broken/outdated hyperlink @Haleshot (#3857)
fix: hardware section @urmauur (#3866)
fix: inconsistent state of downloading multi-modal @urmauur (#3862)
fix: context length input value isn't update @urmauur (#3854)
fix: correct eos token of llava models @louis-jan (#3847)
fix: api playground text overlap button and search hub model @urmauur (#3833)
fix: enable scroll modal component @urmauur (#3816)
fix: reset window state after disconnected from multi monitor @urmauur (#3797)
fix: issue ellipsis text on model selector and model start loader @urmauur (#3802)
fix: update base url edit page docs @urmauur (#3795)
Maintenance:
chore: replace windows codesign cert @hiento09 (#3839)
ci: disable turbo cache @hiento09 (#3836)
ci: Update jan-docs.yml @hiento09 (#3799)
chore: move Jan Docs back into Jan Repo @hiento09 (#3790)
0.5.6 Oct 4, 2024 New Release Hotfix: graceful error handling model import @louis-jan (#3766)
0.5.5 Oct 2, 2024 New Release Fixes:
fix: thread title for remote model from first prompt @urmauur (#3712)
fix: #1142 setting groups toggle does not turn off it's nested settings @louis-jan (#3681)
fix: overlap text on model selector and loader @urmauur (#3756)
fix: XML not render correctly @urmauur (#3743)
fix: model dropdown should show recommended models to download @louis-jan (#3742)
fix: correct model dropdown for local models @louis-jan (#3736)
fix: #3491 - Unable to use tensorrt-llm @louis-jan (#3741)
fix: wrong model download location when there is a mismatch model_id @louis-jan (#3733)
fix: #3703 - Deepseek-Coder-33B-Instruct is incompatible @louis-jan (#3732)
fix: #3727 LLM model download fail can still be used @louis-jan (#3731)
fix: #3673 - API responds with Request body is too large @louis-jan (#3729)
fix: #3698 - o1 preview models do not work with max_tokens @louis-jan (#3728)
fix: #3515 - The default assistant instructions are ignored @louis-jan (#3721)
fix: #3513 - Anthropic extension does not forward the system prompt @louis-jan (#3724)
fix: #3558 wrong model metadata import or download from HuggingFace @louis-jan (#3725)
fix: toolbar overlap chat input @urmauur (#3720)
fix: #3693 broken thread.json should not break the entire threads @louis-jan (#3709)
fix: remove title local API server page @urmauur (#3710)
fix: enhance various minor UI elements @urmauur (#3706)
fix: update the condition for generating the title @urmauur (#3702)
fix: small leftover issues with new starter screen @urmauur (#3661)
fix: #3476 - Mismatch id between model json and path @louis-jan (#3645)
fix: #3667 - The recommended label should be hidden @louis-jan (#3687)

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Moto assistant

0.5.7 freeware download

"Jan" by janhq is an innovative software solution designed to revolutionize the way businesses handle ... with their customers, regardless of the platform. The software's natural language processing capabilities allow it to understand ...

5 freeware award