Yeah I'm hoping someone comes up with a Mac-friendly (maybe MLX?) quantized version with a robust tool calling prompt template soon
LLMS
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Model now available on Cerebras for supersonic execution speeds
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Buah, el modelo ya está disponible en Cerebras, lo que significa que lo podéis ejecutar a velocidades supersónicas!
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Quantization and Prompt Templates Impact on Model Quality
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It will be interesting to see if different quantizations and prompt templates result in different quality pelicans
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OpenAI releases 20B and 120B open source models
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If you're a developer, here's what you need to know about the new @OpenAI open source models: – They come in two sizes (20B + 120B)… both are impressive, but I'll be focusing mostly on the 120B for the rest of this post – Capabilities (at a glance) are essentially o3 level…
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Testing 20B GGUF Model with LM Studio and Prompt Engineering
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I tried out the first 20B GGUF version I spotted in Hugging Face using LM Studio, which complained about the prompt template. I managed to get a pelican out of it though! https://
huggingface.co/gabriellarson/
gpt-oss-20b-GGUF
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GPT-5 Release Date Confirmed for August 7, Gemini 3.0 Teased
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BREAKING : GPT-5 release date confirmed to be August 7 by flowith! Gemini 3.0 Flash has been teased as well but “not this week”!
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Model available for download on Ollama LMStudio HuggingFace
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Aparte lo tendréis disponible en los lugares habituales para descargar (Ollama, LMStudio, HuggingFace, etc)
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Test Open Source AI Models with Free Demo
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Si queréis testear estos modelos antes de descargarlos, tenéis una demo disponible a continuación https://
gpt-oss.com -
100+ Free AI Agent Tutorials: RAG, Voice, MCP, Teams
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100+ free step-by-step tutorials with code covering: AI Agents RAG Systems Voice AI Agents MCP AI Agents Multi-agent Teams Autonomous Game Playing Agents P.S: Don't forget to subscribe for FREE to access future tutorials.
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OpenAI Reveals AI Reasoning Chains Without Supervision Requirements
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OpenAI se quita el pudor de enseñar sus Cadenas de Razonamiento y dejará que estos modelos open source las muestre sin ningún tipo de supervisión. Es gracioso porque como indican, una cosa es lo que la IA muestre como resultado y otra "lo que piense". Quizás viendo su