#llama33 — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #llama33, aggregated by home.social.
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🎯 Supported models include #GPT-OSS-120B, #GPT-OSS-20B, #Llama4 Maverick, #Llama4 Scout, #Llama33-70B, #Llama31-8B, #KimiK2, #Qwen3-32B
🔧 Key features: deterministic inference for faster tool-using agents, cost-effective scaling, approved tool use with clear allowlists, seamless migration capability
📋 Ready-to-use cookbook tutorials with #BrowserBase #MCP, #BrowserUse #MCP, #Exa #MCP, #Firecrawl #MCP, #HuggingFace #MCP, #Parallel #MCP, #Stripe #MCP, #Tavily #MCP
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🎯 Supported models include #GPT-OSS-120B, #GPT-OSS-20B, #Llama4 Maverick, #Llama4 Scout, #Llama33-70B, #Llama31-8B, #KimiK2, #Qwen3-32B
🔧 Key features: deterministic inference for faster tool-using agents, cost-effective scaling, approved tool use with clear allowlists, seamless migration capability
📋 Ready-to-use cookbook tutorials with #BrowserBase #MCP, #BrowserUse #MCP, #Exa #MCP, #Firecrawl #MCP, #HuggingFace #MCP, #Parallel #MCP, #Stripe #MCP, #Tavily #MCP
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🎯 Supported models include #GPT-OSS-120B, #GPT-OSS-20B, #Llama4 Maverick, #Llama4 Scout, #Llama33-70B, #Llama31-8B, #KimiK2, #Qwen3-32B
🔧 Key features: deterministic inference for faster tool-using agents, cost-effective scaling, approved tool use with clear allowlists, seamless migration capability
📋 Ready-to-use cookbook tutorials with #BrowserBase #MCP, #BrowserUse #MCP, #Exa #MCP, #Firecrawl #MCP, #HuggingFace #MCP, #Parallel #MCP, #Stripe #MCP, #Tavily #MCP
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🎯 Supported models include #GPT-OSS-120B, #GPT-OSS-20B, #Llama4 Maverick, #Llama4 Scout, #Llama33-70B, #Llama31-8B, #KimiK2, #Qwen3-32B
🔧 Key features: deterministic inference for faster tool-using agents, cost-effective scaling, approved tool use with clear allowlists, seamless migration capability
📋 Ready-to-use cookbook tutorials with #BrowserBase #MCP, #BrowserUse #MCP, #Exa #MCP, #Firecrawl #MCP, #HuggingFace #MCP, #Parallel #MCP, #Stripe #MCP, #Tavily #MCP
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🎯 Supported models include #GPT-OSS-120B, #GPT-OSS-20B, #Llama4 Maverick, #Llama4 Scout, #Llama33-70B, #Llama31-8B, #KimiK2, #Qwen3-32B
🔧 Key features: deterministic inference for faster tool-using agents, cost-effective scaling, approved tool use with clear allowlists, seamless migration capability
📋 Ready-to-use cookbook tutorials with #BrowserBase #MCP, #BrowserUse #MCP, #Exa #MCP, #Firecrawl #MCP, #HuggingFace #MCP, #Parallel #MCP, #Stripe #MCP, #Tavily #MCP
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Ich musste gerade feststellen, dass meine 32 GB RAM nicht ausreichen, um #Ollama mit llama3.3 zum Laufen zu bringen. Die Fehlermeldung sagt, dass mindestens 43 GB erforderlich sind – und das sprengt dann doch den Rahmen. Schade!