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AkashChat provides access to 8 of the leading open-source AI models. Switch between models mid-conversation to leverage the strengths of each, while seamlessly maintaining the context. The chat below switches from Llama 3.3 70B to DeepSeek-R1.

Akash Network

128,817 subscribers

11,966 次观看 • 1 年前 •via X (Twitter)

科学技术教育

Anya Rossi• Live Now

Private livecam show

11 条评论

Akash Network 的头像

Akash Network1 年前

Try AkashChat today:

Wonderchat 的头像

Wonderchat2 年前

Automate up to 70% of your customer support today. Save time and help your users find answers quickly. Try now at

BDcrypto 的头像

BDcrypto1 年前

This shit is amazing... Why aren't we at double billions!! $AKT

Spice Trader🇺🇸🌶️ 的头像

Spice Trader🇺🇸🌶️1 年前

🔥

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Kings1wealth1 年前

$AKT is colossus 🙌💪🔥

BinhGo (💜,🔫) 的头像

BinhGo (💜,🔫)1 年前

@elonmusk @realDonaldTrump @100trillionUSD @CryptoWizardd

blythefrence 的头像

blythefrence1 年前

AKASH NETWORK IS DOING GREAT THINGS! ACCESS TO 8 OF THE LEADING AI MODELS? THAT'S INCREDIBLE! WE NEED TO LEVERAGE EVERY ADVANTAGE WE HAVE TO MAKE AMERICA THE CRYPTO CAPITAL OF THE WORLD! REMEMBER, UNDER KAMALA, AVERAGE FAMILIES LOST $29,000! WE’LL GET IT BACK, FOLKS! WE MUST...

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Alex1 年前

$AKT

Power Of Partnerships LLC 的头像

Power Of Partnerships LLC1 年前

This is all great stuff, but when is the BINANCE LISTING ?

mert cologlu 的头像

mert cologlu1 年前

Check $SUDO @sudolab_ Can be deal for partnership 🤝

NOBULLSHIT.EXE 的头像

NOBULLSHIT.EXE1 年前

Wtf, AkashChat got some balls using open-source models. But good luck keeping the convo coherent when switching mid-chat, lol. Still central AF tho!

相关视频

AkashChat has a brand new look. · An updated, modern interface. · Ultra-fast and responsive. · Access to 8 of the leading open-source AI models. Still completely free to use, with no sign-in required.

Akash Network

33,712 次观看 • 1 年前

DeepSeek-R1 is available in AkashChat. R1 is currently the most capable open-source AI model, surpassing 3.5 Sonnet and o1 on several leading benchmarks.

DeepSeek-R1 is available in AkashChat. R1 is currently the most capable open-source AI model, surpassing 3.5 Sonnet and o1 on several leading benchmarks.

Akash Network

21,184 次观看 • 1 年前

DeepSeek-R1. Now running *locally* on your Umbrel. Yes, you can now self-host open source AI models like R1, Llama, and more on your home cloud — thanks to ollama and Open WebUI. Download Open WebUI and Ollama from the Umbrel App Store to get started.

DeepSeek-R1. Now running locally on your Umbrel. Yes, you can now self-host open source AI models like R1, Llama, and more on your home cloud — thanks to ollama and Open WebUI. Download Open WebUI and Ollama from the Umbrel App Store to get started.

Umbrel ☂️

36,562 次观看 • 1 年前

NVIDIA JUST DROPPED A WAY TO ACCESS 70+ OF THE TOP AI MODELS COMPLETELY FREE That includes: - GLM-5.2 - DeepSeek V3 & R1 - Qwen3 - Kimi K2.6

NVIDIA JUST DROPPED A WAY TO ACCESS 70+ OF THE TOP AI MODELS COMPLETELY FREE That includes: - GLM-5.2 - DeepSeek V3 & R1 - Qwen3 - Kimi K2.6

0xMarioNawfal

65,635 次观看 • 10 天前

DeepSeek R1 671B is ridiculously good, but running at 158 tokens per second is something out of this world. A model *this good* running *this fast* is 3 years ahead of this time. The secret: DeepSeek in this short video isn't running on GPUs. It's running on custom-made chips! This is running on SambaNova and their SN40L chips, which are designed and optimized for running AI workflows. SambaNova is sponsoring my work. We designed GPUs to run games and later realized we could use them for AI. This is very different from creating a chip specifically for AI from the ground up. Just think about this for a second: One single SNL40 chip can simultaneously hold 100+ models (trillions of parameters) in memory! An agentic workflow that uses multiple models simultaneously won't need to swap models from memory even once! By the way, the Llama family of models *screams* on the SambaNova Cloud. Here are some numbers from my latest tests: • Llama 3.3 70B: 367.32 t/s • Llama 3.2 1B: 2381.82 t/s • Llama 3.2 3B: 1335.71 t/s • Llama 3.1 8B: 929.58 t/s • Llama 3.1 70B: 369.16 t/s • Llama 3.1 405B: 103.37 t/s You can access all of these models for free!

DeepSeek R1 671B is ridiculously good, but running at 158 tokens per second is something out of this world. A model this good running this fast is 3 years ahead of this time. The secret: DeepSeek in this short video isn't running on GPUs. It's running on custom-made chips! This is running on SambaNova and their SN40L chips, which are designed and optimized for running AI workflows. SambaNova is sponsoring my work. We designed GPUs to run games and later realized we could use them for AI. This is very different from creating a chip specifically for AI from the ground up. Just think about this for a second: One single SNL40 chip can simultaneously hold 100+ models (trillions of parameters) in memory! An agentic workflow that uses multiple models simultaneously won't need to swap models from memory even once! By the way, the Llama family of models screams on the SambaNova Cloud. Here are some numbers from my latest tests: • Llama 3.3 70B: 367.32 t/s • Llama 3.2 1B: 2381.82 t/s • Llama 3.2 3B: 1335.71 t/s • Llama 3.1 8B: 929.58 t/s • Llama 3.1 70B: 369.16 t/s • Llama 3.1 405B: 103.37 t/s You can access all of these models for free!

Santiago

131,019 次观看 • 1 年前

This is the fastest I've seen Llama 3.3 running anywhere! Llama 3.3 70B running at 652 t/s is lightning fast. And if you want Llama 3.1, here are the speeds I was able to get: • Llama 3.1 8B: 1006 t/s • Llama 3.1 70B: 709 t/s • Llama 3.1 405B: 206 t/s (You can access all of these models for free! See the link below.) This speed is incredible, but the interesting part is what's happening behind the scenes: These models aren't running on a GPU! In this video, I'm using the SambaNova cloud to access these models. They built a custom chip (SN40L) optimized for AI workflows. A single SN40L chip can hold hundreds of models (trillions of parameters) in memory! The speed alone is a huge deal, but the big advantage is for agentic workflows running multiple specialized models. A GPU can only host a single model and switch (unload and load) to a different model if necessary. An SN40L, on the other hand, can host every model at once, making it much faster. Here is the video where you can see how fast these chips are:

This is the fastest I've seen Llama 3.3 running anywhere! Llama 3.3 70B running at 652 t/s is lightning fast. And if you want Llama 3.1, here are the speeds I was able to get: • Llama 3.1 8B: 1006 t/s • Llama 3.1 70B: 709 t/s • Llama 3.1 405B: 206 t/s (You can access all of these models for free! See the link below.) This speed is incredible, but the interesting part is what's happening behind the scenes: These models aren't running on a GPU! In this video, I'm using the SambaNova cloud to access these models. They built a custom chip (SN40L) optimized for AI workflows. A single SN40L chip can hold hundreds of models (trillions of parameters) in memory! The speed alone is a huge deal, but the big advantage is for agentic workflows running multiple specialized models. A GPU can only host a single model and switch (unload and load) to a different model if necessary. An SN40L, on the other hand, can host every model at once, making it much faster. Here is the video where you can see how fast these chips are:

Santiago

97,528 次观看 • 1 年前

With today’s launch of our Llama 3.1 collection of models we’re making history with the largest and most capable open source AI model ever released. 128K context length, multilingual support, and new safety tools. Download 405B and our improved 8B & 70B here.

With today’s launch of our Llama 3.1 collection of models we’re making history with the largest and most capable open source AI model ever released. 128K context length, multilingual support, and new safety tools. Download 405B and our improved 8B & 70B here.

Ahmad Al-Dahle

866,703 次观看 • 2 年前

Starting today, open source is leading the way. Introducing Llama 3.1: Our most capable models yet. Today we’re releasing a collection of new Llama 3.1 models including our long awaited 405B. These models deliver improved reasoning capabilities, a larger 128K token context window and improved support for 8 languages among other improvements. Llama 3.1 405B rivals leading closed source models on state-of-the-art capabilities across a range of tasks in general knowledge, steerability, math, tool use and multilingual translation. The models are available to download now directly from Meta or Hugging Face. With today’s release the ecosystem is also ready to go with 25+ partners rolling out our latest models — including Amazon Web Services, NVIDIA, Databricks, Groq Inc, Dell Technologies, Microsoft Azure and Google Cloud ready on day one. More details in the full announcement ➡️ Download Llama 3.1 models ➡️ With these releases we’re setting the stage for unprecedented new opportunities and we can’t wait to see the innovation our newest models will unlock across all levels of the AI community.

Starting today, open source is leading the way. Introducing Llama 3.1: Our most capable models yet. Today we’re releasing a collection of new Llama 3.1 models including our long awaited 405B. These models deliver improved reasoning capabilities, a larger 128K token context window and improved support for 8 languages among other improvements. Llama 3.1 405B rivals leading closed source models on state-of-the-art capabilities across a range of tasks in general knowledge, steerability, math, tool use and multilingual translation. The models are available to download now directly from Meta or Hugging Face. With today’s release the ecosystem is also ready to go with 25+ partners rolling out our latest models — including Amazon Web Services, NVIDIA, Databricks, Groq Inc, Dell Technologies, Microsoft Azure and Google Cloud ready on day one. More details in the full announcement ➡️ Download Llama 3.1 models ➡️ With these releases we’re setting the stage for unprecedented new opportunities and we can’t wait to see the innovation our newest models will unlock across all levels of the AI community.

AI at Meta

1,269,168 次观看 • 2 年前

Preview of a Gaia 🌱 device! Turn-by-turn voice conversation with your own knowledge assistant (a Gaia node). 💸 $15 worth of hardware (pre-tariff!) 🌱 Voice-to-text, LLM and text-to-voice AI models on Gaia nodes 📖 Open source all-the-way — hardware, firmware, server, AI models 🦀 Rust all-the-way from firmware to AI server Notice how I switched to another language (Chinese) in the middle of the conversation and it seamlessly switched too. Very smart. PS. we are still optimizing performance before the software release.

Preview of a Gaia 🌱 device! Turn-by-turn voice conversation with your own knowledge assistant (a Gaia node). 💸 $15 worth of hardware (pre-tariff!) 🌱 Voice-to-text, LLM and text-to-voice AI models on Gaia nodes 📖 Open source all-the-way — hardware, firmware, server, AI models 🦀 Rust all-the-way from firmware to AI server Notice how I switched to another language (Chinese) in the middle of the conversation and it seamlessly switched too. Very smart. PS. we are still optimizing performance before the software release.

Michael Yuan

14,983 次观看 • 1 年前

FROM THE LIVE SHOW: Matt Hicks (Matt Hicks), President & CEO of Red Hat, on open source and collaboration. "I love the model that open source provides because it provides this incredible collaboration." "This is why we're passionate about smaller models, because they allow that collaborative, open source ethos to thrive a little bit better than the frontier models."

FROM THE LIVE SHOW: Matt Hicks (Matt Hicks), President & CEO of Red Hat, on open source and collaboration. "I love the model that open source provides because it provides this incredible collaboration." "This is why we're passionate about smaller models, because they allow that collaborative, open source ethos to thrive a little bit better than the frontier models."

Forward Future

12,538 次观看 • 10 个月前

This is HUGE, Hugging Face just shipped Inference Providers on the Hub Partnering with Together AI, @FAL, Replicate and SambaNova! Starting today you can access thousands of Models like DeepSeek R1, Llama, Flux, Whisper, and more Directly from Hugging Face!

This is HUGE, Hugging Face just shipped Inference Providers on the Hub Partnering with Together AI, @FAL, Replicate and SambaNova! Starting today you can access thousands of Models like DeepSeek R1, Llama, Flux, Whisper, and more Directly from Hugging Face!

AK

177,126 次观看 • 1 年前

DeepSeek released R1, the best open-source reasoning model that is on par with OpenAI's o1! I have built a RAG app to chat with your PDF files using the DeepSeek R1 model, running locally on your computer. 100% Open Source

DeepSeek released R1, the best open-source reasoning model that is on par with OpenAI's o1! I have built a RAG app to chat with your PDF files using the DeepSeek R1 model, running locally on your computer. 100% Open Source

Sumanth

678,638 次观看 • 1 年前

$Chinese AI company Deepseek recently made waves when it announced R1, an open-source reasoning model that it claimed achieved comparable performance to OpenAI’s o1, at a fraction of the cost. But for those following AI developments closely, Deepseek and R1 didn’t come out of nowhere. In this episode of Decoded, YC's Diana breaks down the key engineering optimizations behind Deepseek's new models — and how they fit within the broader history of recent AI breakthroughs.$

Chinese AI company Deepseek recently made waves when it announced R1, an open-source reasoning model that it claimed achieved comparable performance to OpenAI’s o1, at a fraction of the cost. But for those following AI developments closely, Deepseek and R1 didn’t come out of nowhere. In this episode of Decoded, YC's Diana breaks down the key engineering optimizations behind Deepseek's new models — and how they fit within the broader history of recent AI breakthroughs.

Y Combinator

72,468 次观看 • 1 年前

Llama 3.3 70B is now available on LlamaCoder through the Together AI API! Achieves similar performance to Llama 3.1 405B 🤯

Llama 3.3 70B is now available on LlamaCoder through the Together AI API! Achieves similar performance to Llama 3.1 405B 🤯

Hassan

35,133 次观看 • 1 年前

Are open source models catching up to proprietary models? We’ve looked back at 3 years of Arena’s data to show how the race has evolved. For comparison, we’ve taken the top 20% of the models and uncovered the following: - Before mid 2024: The gap was between 100-150 points - In the second half of 2024, the gap rapidly narrowed to ~50 points - This was driven by the fact that proprietary models have not significantly improved between early 2023 and November 2024 - hovering around the 1350 score for the top 20% of proprietary models - Then since Jan 2025, we saw a parallel improvement in both proprietary and open source models - Meaning that for the last ~14 months the gap stayed steady at around 50-60 points For context, 50 points is the gap between the 1st and 20th place in the Overall leaderboard Today, proprietary models take up the first 20 spots on the Text Arena, with Anthropic, Google DeepMind , xAI and OpenAI leading in the rankings. The top open source models are ranked #20 (GLM-5 by Z.ai ), #23 (Kimi-K2.5-Thinking by Kimi.ai ) and #27 (Qwen3.5-397b-a17b by Qwen ).

Are open source models catching up to proprietary models? We’ve looked back at 3 years of Arena’s data to show how the race has evolved. For comparison, we’ve taken the top 20% of the models and uncovered the following: - Before mid 2024: The gap was between 100-150 points - In the second half of 2024, the gap rapidly narrowed to ~50 points - This was driven by the fact that proprietary models have not significantly improved between early 2023 and November 2024 - hovering around the 1350 score for the top 20% of proprietary models - Then since Jan 2025, we saw a parallel improvement in both proprietary and open source models - Meaning that for the last ~14 months the gap stayed steady at around 50-60 points For context, 50 points is the gap between the 1st and 20th place in the Overall leaderboard Today, proprietary models take up the first 20 spots on the Text Arena, with Anthropic, Google DeepMind , xAI and OpenAI leading in the rankings. The top open source models are ranked #20 (GLM-5 by Z.ai ), #23 (Kimi-K2.5-Thinking by Kimi.ai ) and #27 (Qwen3.5-397b-a17b by Qwen ).

Arena.ai

22,447 次观看 • 4 个月前

DeepSeek-V3 is live in AkashChat. This is the most capable open-source AI model available today — directly rivaling the benchmark performance of GPT-4o and 3.5 Sonnet.

DeepSeek-V3 is live in AkashChat. This is the most capable open-source AI model available today — directly rivaling the benchmark performance of GPT-4o and 3.5 Sonnet.

Akash Network

47,412 次观看 • 1 年前