Byte - Your local AI model or API key in a customizable llm chatbox
by•
Run Llama, Mistral, and other AI models locally for free, right on your machine. Or bring your own API key for GPT-5, Claude, and Gemini. One app, no subscription, no limits.
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Best
Local model support that just works without the usual Python venv nightmare is a real gift. Love that you didn’t bury it behind a subscription wall.
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Maker
@yunusdemirsoy Github opensource projects have done so much, giving back to the community!
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finally something that just runs llama locally without making me fight with a terminal setup. pulled it down on my laptop and mistral loaded in like a minute, no fuss at all.
love that it skips the subscription trap entirely and just lets you point at whatever model you want, local or paid. the bring-your-own-key approach feels like exactly how this kind of tool should work
Would love to see a built-in model benchmarking tool so I can compare inference speed and memory usage across different models on my hardware before committing to one.
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Maker
@emeltanaslan That is actually such a good idea! We will implement that in our next version.
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Finally gave it a spin on my laptop and it pulled down a 7B Llama model way faster than I expected, ran completions smoothly without choking my fans. Nice to have a single place for local models and API keys without juggling five different apps.
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Maker
@tahsin1326739 Thank you so much for trying it out. We are expecting updates soon with things like MCP Servers (Connections)
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Love how it just lets you pick a model and go, no account wall or upsell in sight. The single window that handles both local and API models feels like the kind of thoughtful UX most AI tools skip.
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Maker
@hikmet1329967 That was the whole goal of Byte! Glad you love it.
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Finally a clean way to run Llama locally without fighting config files, and swapping in my own OpenAI key took like two seconds. Solid little app.
A nice no-nonsense wrapper. One thing that would really help me is a built-in model benchmark panel that shows tokens/sec, VRAM usage, and first-token latency right in the chat window, so I can compare Llama and Mistral runs without alt-tabbing to the terminal.
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Maker
@kriyexqxx That is a good idea. That will be on our mind when building the next version.
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Finally, a desktop app that treats local models as a first-class option instead of a buried setting. Love that the UI stays identical whether I'm running Llama on my laptop or pointing it at my own Claude key.
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Maker
@emrekjvj UI Customization was our #1 goal when building this.
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Love how simple this is for running local models without juggling terminals. One thing that would make it even better is built-in benchmark scoring, so you can see tokens per second and memory usage across different models side by side and know which one actually fits your hardware best.
Report
Maker
@sezerkarakx9y4 A lot of people are asking for this so it will be in our next version!!
Replies
Local model support that just works without the usual Python venv nightmare is a real gift. Love that you didn’t bury it behind a subscription wall.
@yunusdemirsoy Github opensource projects have done so much, giving back to the community!
finally something that just runs llama locally without making me fight with a terminal setup. pulled it down on my laptop and mistral loaded in like a minute, no fuss at all.
@ufukaktugba That was the goal!
love that it skips the subscription trap entirely and just lets you point at whatever model you want, local or paid. the bring-your-own-key approach feels like exactly how this kind of tool should work
@tuanaqsgs That was the goal!
Would love to see a built-in model benchmarking tool so I can compare inference speed and memory usage across different models on my hardware before committing to one.
@emeltanaslan That is actually such a good idea! We will implement that in our next version.
Finally gave it a spin on my laptop and it pulled down a 7B Llama model way faster than I expected, ran completions smoothly without choking my fans. Nice to have a single place for local models and API keys without juggling five different apps.
@tahsin1326739 Thank you so much for trying it out. We are expecting updates soon with things like MCP Servers (Connections)
Love how it just lets you pick a model and go, no account wall or upsell in sight. The single window that handles both local and API models feels like the kind of thoughtful UX most AI tools skip.
@hikmet1329967 That was the whole goal of Byte! Glad you love it.
Finally a clean way to run Llama locally without fighting config files, and swapping in my own OpenAI key took like two seconds. Solid little app.
@leventkodaman Thank you so much!
A nice no-nonsense wrapper. One thing that would really help me is a built-in model benchmark panel that shows tokens/sec, VRAM usage, and first-token latency right in the chat window, so I can compare Llama and Mistral runs without alt-tabbing to the terminal.
@kriyexqxx That is a good idea. That will be on our mind when building the next version.
Finally, a desktop app that treats local models as a first-class option instead of a buried setting. Love that the UI stays identical whether I'm running Llama on my laptop or pointing it at my own Claude key.
@emrekjvj UI Customization was our #1 goal when building this.
Love how simple this is for running local models without juggling terminals. One thing that would make it even better is built-in benchmark scoring, so you can see tokens per second and memory usage across different models side by side and know which one actually fits your hardware best.
@sezerkarakx9y4 A lot of people are asking for this so it will be in our next version!!