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LM Studio – Discover, download, and run local LLMs

lmstudio.ai

21–30 of 157 posts

Re: LM Studio – Discover, download, and run local LLMs

#21
post #18
post #6

Earlier quoted context omitted.

Thats why as a business i would rather use a trusted FOSS LLm interface like textgeneration-WEBUI https://github.com/oobabooga/text-generation-webui

Or a simpler alternative: https://ollama.ai/

ollama doesn't come packaged with an easy to invoke UI though.

Re: LM Studio – Discover, download, and run local LLMs

#24

Why purple or some shade of purple is the color of all AI products? For some reason, the landing pages of AI products immediately remind of Crypto products. This one does not have Crypto vibes but the colour is purple. I don't get why.

Because apps mostly prefer dark theme now, and dark red, brown, dark green and so on look weird, and gray is OK, but very boring, like someone desaturated the UI. Which leaves shades of blue and purple.

Re: LM Studio – Discover, download, and run local LLMs

#25
post #17

I don't mean this as a criticism, I'm just curious because I work in this space too: who is this for? What is the niche of people savvy enough to use this who can't run one of the many open source local llm software? It looks in the screenshot like it's exposing much of the complexity of configuration anyway. Is the value in the interface and management of conversation and models? It would be nice to see info or even…

It's for people who want to discover LLMs and either don't have the skill to deploy it, or value their time, and prefer not to fool around for hours getting it to work before they can try it.

The fact it has configuration is good, as long as it has some defaults.

Re: LM Studio – Discover, download, and run local LLMs

#26
post #16

For my experiments with new self-hostable models on Linux, I've been using a script to download GGUF-models from TheBloke on HuggingFace (currently, TheBloke's repository has 657 models in the GGUF format) which I feed to a simple program I wrote which invokes llama.cpp compiled with GPU support. The GGUF format and TheBloke are a blessing, because I'm able to check out new models basically on the day of their releas…

I'd like to build myself a headless server to run models, that could be queried from various clients locally on my LAN, but am usure where to start and what the hardware requirements would be. Software can always be changed later but I'd rather buy the hardware parts only once.

Do you have recommendations about this? or blog posts to get started? What would be a decent hardware configuration?

Re: LM Studio – Discover, download, and run local LLMs

#27
post #26
post #16

For my experiments with new self-hostable models on Linux, I've been using a script to download GGUF-models from TheBloke on HuggingFace (currently, TheBloke's repository has 657 models in the GGUF format) which I feed to a simple program I wrote which invokes llama.cpp compiled with GPU support. The GGUF format and TheBloke are a blessing, because I'm able to check out new models basically on the day of their releas…

I'd like to build myself a headless server to run models, that could be queried from various clients locally on my LAN, but am usure where to start and what the hardware requirements would be. Software can always be changed later but I'd rather buy the hardware parts only once. Do you have recommendations about this? or blog posts to get started? What would be a decent hardware configuration?

You can currently do this in an M2 Max with ollama and a Nextjs UI [0] running in a docker container. Any devices in the network can use the UI... and I guess if you want a LAN API you just need to run another container with with OAI compatible API that can query ollama.. eg [1]

[0]https://github.com/ivanfioravanti/chatbot-ollama

[1]https://github.com/BerriAI/litellm

Re: LM Studio – Discover, download, and run local LLMs

#28
post #26
post #16

For my experiments with new self-hostable models on Linux, I've been using a script to download GGUF-models from TheBloke on HuggingFace (currently, TheBloke's repository has 657 models in the GGUF format) which I feed to a simple program I wrote which invokes llama.cpp compiled with GPU support. The GGUF format and TheBloke are a blessing, because I'm able to check out new models basically on the day of their releas…

I'd like to build myself a headless server to run models, that could be queried from various clients locally on my LAN, but am usure where to start and what the hardware requirements would be. Software can always be changed later but I'd rather buy the hardware parts only once. Do you have recommendations about this? or blog posts to get started? What would be a decent hardware configuration?

Ollama does this. I run it in a container on my homelab (Proxmox on a HP EliteDesk SFF G2 800) and 7B models run decently fast on CPU-only. Ollama has a nice API and makes it easy to manage models.

Together with ollama-webui, it can replace ChatGPT 3.5 for most tasks. I also use it in VSCode and nvim with plugins, works great!

I have been meaning to write a short blog post about my setup...

Re: LM Studio – Discover, download, and run local LLMs

#29
post #13
post #11

Earlier quoted context omitted.

Ollama works super fine on Intel Mac The demo on this video is from Intel Mac https://youtu.be/C0GmAmyhVxM?si=puTCpGWButsNvKA5 It also supports openai compatible api and completely open-source unlike LM studio

Ollama's API is not openai compatible.

Correct, but LocalAI has a compatible API for those who needs it.

Re: LM Studio – Discover, download, and run local LLMs

#30
post #26
post #16

For my experiments with new self-hostable models on Linux, I've been using a script to download GGUF-models from TheBloke on HuggingFace (currently, TheBloke's repository has 657 models in the GGUF format) which I feed to a simple program I wrote which invokes llama.cpp compiled with GPU support. The GGUF format and TheBloke are a blessing, because I'm able to check out new models basically on the day of their releas…

I'd like to build myself a headless server to run models, that could be queried from various clients locally on my LAN, but am usure where to start and what the hardware requirements would be. Software can always be changed later but I'd rather buy the hardware parts only once. Do you have recommendations about this? or blog posts to get started? What would be a decent hardware configuration?

Just compile llama.cpp's server example, and you have a local HTTP API. It also has a simple UI (disclaimer: to which I've contributed).

https://github.com/ggerganov/llama.cpp/blob/master/examples/...

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