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Mistral.rs Alternatives
Similar projects and alternatives to mistral.rs
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moshi
Moshi is a speech-text foundation model and full-duplex spoken dialogue framework. It uses Mimi, a state-of-the-art streaming neural audio codec. (by kyutai-labs)
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EdgeChains
EdgeChains.js is Full-Stack GenAI library. Front-end, backend, apis, prompt management, distributed computing. All core prompts & chains are managed declaratively in jsonnet (and not hidden in classes)
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LLaMA-Omni
LLaMA-Omni is a low-latency and high-quality end-to-end speech interaction model built upon Llama-3.1-8B-Instruct, aiming to achieve speech capabilities at the GPT-4o level.
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Starmoon
A conversational, AI device + software framework for companionship, entertainment, education, healthcare, IoT applications, and DIY robotics. Built with Python, NextJS, Arduino, ESP32, LLMs (GPT-4o), Deepgram STT and Azure TTS 🤖
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mini-omni
open-source multimodal large language model that can hear, talk while thinking. Featuring real-time end-to-end speech input and streaming audio output conversational capabilities.
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sundry
Sundry is an intelligent context provider API designed specifically for Large Language Models.
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voxtral-mini-realtime-rs
Voxtral ASR & TTS running natively and in the browser. A Rust implementation of Mistral's Voxtral mini realtime ASR / TTS using the Burn ML framework
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mistral.rs discussion
mistral.rs reviews and mentions
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Run Agent Skills with mistral.rs v0.8.10: /v1/skills support and more
mistralrs serve --agent --isq 4 -m google/gemma-4-E4B-it
Super excited for you to try this out and any feedback! Do you have any suggestions for what you would like to see in the next releases?
Check out the GitHub: https://github.com/EricLBuehler/mistral.rs
- Mistral.rs – Fast, zero-config multimodal LLM inference for a variety of models
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Rust implementation of Mistral's Voxtral Mini 4B Realtime that runs in browser
There is also another Mistral implementation: https://github.com/EricLBuehler/mistral.rs Not sure what the difference is, but it seems to be just be overall better received.
- Thoughts on Mistral.rs
- Fast LLM Inference in Rust
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Show HN: Build a real-time talk-to-GPT device using ESP32 for few $
or with open source tools like
llama.cpp - https://github.com/ggerganov/llama.cpp/blob/master/examples/...
or
mistral.rs - https://github.com/EricLBuehler/mistral.rs/blob/master/docs/...
lmstudio and ollama use llama.cpp underneath. cut the middle man
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Should you use Rust in LLM based tools for performance?
I was asking the same question, turns out mistral.rs [0] has pretty good abstractions in order to not depend and package llama.cpp for every platform.
[0] https://github.com/EricLBuehler/mistral.rs
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Moshi: A speech-text foundation model for real time dialogue
Just trying to stay focused on launching first (https://docs.mixlayer.com) and keeping early customers happy, but would love to open source some of this work.
It'd probably be a separate crate from candle. If you haven't checked it out yet, mistral.rs implements some of these things (https://github.com/EricLBuehler/mistral.rs). Eric hasn't done multi-GPU inference yet, but I know it's on his roadmap. Not sure if it helped, but I shared an early version of my llama 3.1 implementation with him.
- Mistral.rs: Faster than llama.cpp on CUDA
- Mistral.rs: Fast LLM Engine
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A note from our sponsor - SaaSHub
www.saashub.com | 14 Aug 2026
Stats
EricLBuehler/mistral.rs is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of mistral.rs is Rust.