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    <title>mistral</title>
    <link rel="self" type="application/atom+xml" href="https://links.biapy.com/guest/tags/1104/feed"/>
    <updated>2026-08-25T03:21:00+00:00</updated>
    <id>https://links.biapy.com/guest/tags/1104/feed</id>
            <entry>
            <id>https://links.biapy.com/links/11984</id>
            <title type="text"><![CDATA[Mistral Vibe :fr:]]></title>
            <link rel="alternate" href="https://github.com/mistralai/mistral-vibe" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11984"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Minimal CLI coding agent by Mistral.

Mistral Vibe is a command-line coding assistant powered by Mistral&amp;#039;s models. It provides a conversational interface to your codebase, allowing you to use natural language to explore, modify, and interact with your projects through a powerful set of tools.]]>
            </summary>
            <updated>2026-03-02T12:35:56+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1260</id>
            <title type="text"><![CDATA[Auntie PDF]]></title>
            <link rel="alternate" href="https://auntiepdf.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1260"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Your all-knowing guide that unpacks every PDF into clear, actionable insights. 

Auntie PDF is a web application that helps users extract information and insights from PDF documents. With a sassy, helpful personality, Auntie PDF makes understanding complex documents easier and more engaging.]]>
            </summary>
            <updated>2025-08-28T19:27:04+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1584</id>
            <title type="text"><![CDATA[SillyTavern]]></title>
            <link rel="alternate" href="https://sillytavern.app/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1584"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[LLM Frontend for Power Users.

SillyTavern provides a single unified interface for many LLM APIs (KoboldAI/CPP, Horde, NovelAI, Ooba, Tabby, OpenAI, OpenRouter, Claude, Mistral and more), a mobile-friendly layout, Visual Novel Mode, Automatic1111 &amp;amp; ComfyUI API image generation integration, TTS, WorldInfo (lorebooks), customizable UI, auto-translate, more prompt options than you&amp;#039;d ever want or need, and endless growth potential via third-party extensions.

- [SillyTavern @ GitHub](https://github.com/SillyTavern/SillyTavern).]]>
            </summary>
            <updated>2025-08-28T20:20:29+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4027</id>
            <title type="text"><![CDATA[Open WebUI]]></title>
            <link rel="alternate" href="https://openwebui.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4027"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Unlock your LLM&amp;#039;s creativity.  User-friendly WebUI for LLMs (Formerly Ollama WebUI) 

Open WebUI is an extensible, self-hosted interface for AI that adapts to your workflow, all while operating entirely offline.

Open WebUI is an extensible, feature-rich, and user-friendly self-hosted WebUI designed to operate entirely offline. It supports various LLM runners, including Ollama and OpenAI-compatible APIs. For more information, be sure to check out our Open WebUI Documentation.

- [Open WebUi @ GitHub](https://github.com/open-webui/open-webui).

Related contents:

- [host ALL your AI locally @ NetworkChuck&amp;#039;s YouTube](https://www.youtube.com/watch?v=Wjrdr0NU4Sk).
- [DeepSeek Local: How to Self-Host DeepSeek (Privacy and Control) @ LinuxBlog.io](https://linuxblog.io/deepseek-local-self-host/).
- [Self-Hosted Private LLM using Ollama and Open WebUI @ Getting Started](https://www.gettingstarted.ai/self-host-llm/)h
- [LLMs on Kubernetes Part 1: Understanding the threat model @ CNCF](https://www.cncf.io/blog/2026/03/30/llms-on-kubernetes-part-1-understanding-the-threat-model/).]]>
            </summary>
            <updated>2026-04-07T05:46:21+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4130</id>
            <title type="text"><![CDATA[LibreChat]]></title>
            <link rel="alternate" href="https://www.librechat.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4130"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Every AI in One PlaceBuilt for Everyone

LibreChat is a free, open source AI chat platform. This Web UI offers vast customization, supporting numerous AI providers, services, and integrations. Serves all AI Conversations in one place with a familiar interface, innovative enhancements, for as many users as you need.

 Enhanced ChatGPT Clone: Features OpenAI, Assistants API, Azure, Groq, GPT-4 Vision, Mistral, Bing, Anthropic, OpenRouter, Vertex AI, Gemini, AI model switching, message search, langchain, DALL-E-3, ChatGPT Plugins, OpenAI Functions, Secure Multi-User System, Presets, completely open-source for self-hosting. More features in development 

- [LibreChat @ GitHub](https://github.com/danny-avila/LibreChat).]]>
            </summary>
            <updated>2025-08-29T03:26:04+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4389</id>
            <title type="text"><![CDATA[llamafile]]></title>
            <link rel="alternate" href="https://mozilla-ai.github.io/llamafile/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4389"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Distribute and run LLMs with a single file.

Our goal is to make open LLMs much more accessible to both developers and end users. We&amp;#039;re doing that by combining llama.cpp with Cosmopolitan Libc into one framework that collapses all the complexity of LLMs down to a single-file executable (called a &amp;quot;llamafile&amp;quot;) that runs locally on most computers, with no installation.

- [llamafile @ GitHub](https://github.com/mozilla-ai/llamafile).

Related contents:

- [LLaMA Now Goes Faster on CPUs @ justine&amp;#039;s web page](https://justine.lol/matmul/).
- [Justine Tunney booste encore une fois les performances de llama.cpp @ Korben :fr:](https://korben.info/justine-tunney-booste-performances-llama-cpp-nouveaux-kernels-algebre-lineaire.html).
- [Llamafile - Exécutez des modèles de langage en un seul fichier ! @ Korben :fr:](https://korben.info/llamafile-executez-modeles-langage-fichier.html).]]>
            </summary>
            <updated>2026-03-23T16:22:33+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4487</id>
            <title type="text"><![CDATA[luminal]]></title>
            <link rel="alternate" href="https://www.luminalai.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4487"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[deep learning at the speed of light.

Luminal is a deep learning library that uses composable compilers to achieve high performance.

- [Luminal @ GitHub](https://github.com/jafioti/luminal).]]>
            </summary>
            <updated>2025-08-29T04:24:43+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4496</id>
            <title type="text"><![CDATA[Unsloth AI]]></title>
            <link rel="alternate" href="https://unsloth.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4496"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Finetune AI &amp;amp; LLMs faster.
 Web UI for training and running open models like Gemma 4, Qwen3.6, DeepSeek, gpt-oss locally. 

Unslow AI training &amp;amp; finetuning Get 30x faster with unsloth.  5X faster 60% less memory QLoRA finetuning. Finetune Mistral, Gemma, Llama 2-5x faster with 70% less memory!

- [Unsloth @ GitHub](https://github.com/unslothai/unsloth).
- [Unsloth AI @ Hugging Face](https://huggingface.co/unsloth).

Related contents:

- [S4E10 - Quel destin pour l’Apple Vision Pro ? @ Underscore_&amp;#039;s Acast :fr:](https://shows.acast.com/micode-underscore/episodes/s4e10-quel-destin-pour-lapple-vision-pro).
- [7 Lessons from building a small-scale AI application @ Richard Li](https://www.thelis.org/blog/lessons-from-ai).
- [Qwen3.6 35B A3B en IQ2_M sur une GTX 1070 : mission accomplie @ Yves Rougy :fr:](https://www.rougy.net/blog/20260526-qwen3.6-35b-a3b-gtx1070/).]]>
            </summary>
            <updated>2026-06-17T06:03:54+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4497</id>
            <title type="text"><![CDATA[Ollama]]></title>
            <link rel="alternate" href="https://ollama.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4497"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Get up and running with large language models, locally.

Run Llama 2, Code Llama, Mistral, Gemma, and other models. Customize and create your own.

- [Ollama @ GitHub](https://github.com/ollama/ollama).

Related contents:

- [Local RAG with Ollama, Mistral, and Turso @ Turso&amp;#039;s blog](https://turso.tech/blog/local-rag-with-ollama-and-turso-sqlite).
- [S4E10 - Quel destin pour l’Apple Vision Pro ? @ Underscore_&amp;#039;s Acast :fr:](https://shows.acast.com/micode-underscore/episodes/s4e10-quel-destin-pour-lapple-vision-pro).
- [Ollama Course – Build AI Apps Locally @ freeCodeCamp.org&amp;#039;s YouTube](https://www.youtube.com/watch?v=GWB9ApTPTv4).
- [Detecting Exposed LLM Servers: A Shodan Case Study on Ollama @ Cisco Blogs](https://blogs.cisco.com/security/detecting-exposed-llm-servers-shodan-case-study-on-ollama).
- [Ollama - 14 000 serveurs IA laissés en libre-service sur Internet @ Korben :fr:](https://korben.info/ollama-serveurs-vulnerabilites-secrete.html).
- [Faire tourner un LLM localement sur votre ordinateur @ Quoi de neuf les devs ? :fr:](https://happytodev.substack.com/p/brent-roose-est-linvite-du-n147-de?open=false#%C2%A7faire-tourner-un-llm-localement-sur-votre-ordinateur).
- [The Ultimate Beginner&amp;#039;s Guide to Self-Hosting Your Own AI @ Arsturn](https://www.arsturn.com/blog/the-ultimate-beginners-guide-to-self-hosting-your-own-ai).
- [How to Run and Customize LLMs Locally with Ollama @ freeCodeCamp](https://www.freecodecamp.org/news/run-and-customize-llms-locally-with-ollama/).
- [LLMs on Kubernetes Part 1: Understanding the threat model @ CNCF](https://www.cncf.io/blog/2026/03/30/llms-on-kubernetes-part-1-understanding-the-threat-model/).
- [Faire tourner un modèle IA chez soi avec Ollama @ DomoPi :fr:](https://domopi.eu/faire-tourner-un-modele-ia-chez-soi-avec-ollama/).
- [Using AI for Terraform: running locally with Langflow, OpenSearch, &amp;amp; Ollama @ Rosemary Wang&amp;#039;s dev.to](https://dev.to/joatmon08/using-ai-for-terraform-running-a-locally-with-langflow-opensearch-ollama-5co6).
- [Using Local Coding Agents @ Ahead of AI](https://magazine.sebastianraschka.com/p/using-local-coding-agents).]]>
            </summary>
            <updated>2026-06-29T12:38:37+00:00</updated>
        </entry>
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