Mistral AI has released the Mixtral-8x7B model, a neural network architecture design that integrates layers of experts/models within the Transformer block. The model, with 8x7B parameters, outperforms existing open language models and has been made available for testing. The release has caused a stir in the AI community, with comparisons to GPT 3.5 and discussions about the potential impact of open-source GPT-4 class models. The model's performance metrics and demos have been highlighted, and it has been lauded for its efficiency in splitting tasks among specialized sub-models.
We just got more details on Mixtral 8x7B from @MistralAI 🧠 Mixtral is sparse mixture of expert models (SMoE) with open weights outperforming existing open LLMs like Meta Llama 70B.🤯 💪🏻 TL;DR: ⬇️ https://t.co/uMJeebqL2G
interesting: mistral has their largest model, "mistral-medium", on their cloud API. no details on what it is, or if it'll ever be open-sourced, other than that it outperforms mixtral-8x7B by a long shot. https://t.co/VaWhLOBPtt
.@MistralAI just released their blog post on Mixtral MoE, read about it here: https://t.co/5xGmu7l8w7
Transformer MoE Architectures - Why They Are More Efficient Mistral 8x7B MoE model is a solid 70B GPT 3.5 class model. Instead of having every part of the model work on every task, an MoE model splits the work among many specialized sub-models, or "experts." Each expert is good… https://t.co/aoDfAcfXWO https://t.co/wYVYuTE4C7
"Mistral AI bucks release trend by dropping torrent link to new open source LLM" — VentureBeat See the highlights of the story below! 1/10 🧵 https://t.co/ztfs1PUsV7
#AIRevolution: Mistral AI's Mixtral-8x7B Model Takes #SEO To New Levels - Explore Performance Metrics & Demos! #SearchEngineJournal https://t.co/V4RWQRjZ6I
Learn more about Mixtral-8x7B, the new model from @MistralAI, including performance metrics, four demos to try, and what #AI says about #SEO. https://t.co/HFrQZ9QaAc
Launching some unusual & experimental models today: 1/ 👬 Mistral: Mixtral 8x7B Chat Eight 7b models connected together into a mixture of experts, for 56b parameters in total, by @MistralAI. Launching a chat version by Fireworks, 100% discounted: https://t.co/hQFbAj3paC https://t.co/fvOfqXf9n6
Mixtral-8x7B outperforms llama-2-70B as per OpenCompass model evaluations https://t.co/nfoPBo55hU
Mistral `mistral-8x7b` on the @vercel AI SDK playground is now chat-tuned and it’s. so. delightful 😍 https://t.co/NvcQHQPs9l
Announcing Mistral 8x7B-*Chat*! A very capable chat model built on top of the new Mistral MoE model, trained on the SlimOrca dataset. Download here: https://t.co/Qg1vuGm7mD
🚀 Skip the wait for Google's Gemini and jump straight into action with @Mistral's Mixtral-8x7B. Released via torrent, no frills attached, it's ready for you to test drive in a vllm-powered interface. Experience the power of MoE AI without the wait: https://t.co/4JO9eM83lb
Another win for open source! 🔥 @MistralAI Mixtral-8x7b is now on #vLLM 🚀 Check out our mixtral8x7b branch on https://t.co/kvUbQmk370 #mixtral #mistral #discolm https://t.co/tZw5G6U2oi
Mistral AI bucks release trend by dropping torrent link to new open source LLM https://t.co/6It0FsiVpu
We released our tuned Mixtral chat a few hours ago. Play with it through our app or API: https://t.co/qkiR9W526V. Big thanks to @MistralAI ‘s new addition of this MoE model. We are very excited about it.
Mistral 8x7B is now available in LangSmith Playground It uses the the implementation by fireworks AI team that reverse-engineered the architecture from the parameter names. This isn't an official implementation, as the model code hasn’t been released. https://t.co/XrExDMSzYq https://t.co/A4Y2q0Nwbr
The company that releases the first GPT-4 class open-source model will make history! Hailed as the biggest heroes of our time, humanity will forever remember them for having liberated AI. Yes, it's possible - Instead of an 8x7B MoE, we need an 8x70B MoE! https://t.co/w7tzbC5kEr
You can try the new Mistral 8x7B model here https://t.co/pBctoKTSuV
You can now try @MistralAI mixtral-8x7b on the @Vercel AI Playground and use it with the AI SDK. (h/t @thefireworksai for the experimental implementation) Here's a video comparing it side-by-side to GPT-3.5-Turbo and Llama 2 70b Chat https://t.co/rEWptmjmQY https://t.co/QdC6Jj0oJU
Initial evals for Mistral MoE are out, and it is a solid 70B model that is very similar to GPT 3.5, Gemini Pro, and DeepSeek and slightly better than Llama2-70B. MMLU on the base models is at 0.717 compared to Gemin Pro's 0.718, DeepSeek's ~ 0.717, and GPT 3.5 at 0.7 On other… https://t.co/iCqGUVUTg9 https://t.co/7OrJEig9OL
If you want to try the new Mistral 8x7B model, you can do so here: https://t.co/hxqqzUzjef
If you want to try the new Mistrsl 8x7B model, you can do so here: https://t.co/hxqqzUzjef
What is Mixture-of-Experts (MoE)? MoE is a neural network architecture design that integrates layers of experts/models within the Transformer block. As data flows through the MoE layers, each input token is dynamically routed to a subset of the experts for computation. This… https://t.co/56mKkrHL34 https://t.co/AnYeITgHVi
What is Mixture-of-Experts (MoE)? MoE is a neural network architecture design that integrates layers of experts/models within the Transformer block. As data flows through the MoE layers, each input token is dynamically routed to a subset of the experts for computation. This… https://t.co/uDvjTeuaAC https://t.co/CKNPLQahBx
Mistral AI's Unconventional Torrent-Based Release of MoE 8x7B LLM Shakes Up the AI Community #AI #AIcommunity #AItechnology #AndreessenHorowitz #artificialintelligence #EricJang #EUAIAct #Fundinground #Gemini #Google #GPT4 #JayScambler #languagemodel https://t.co/HInDfKmedc https://t.co/OHObHHZmTW