Llama

Meta’s Llama family is no longer just competing with other LLMs—it’s fighting its own infrastructure. The graph reveals direct competition with llama.cpp and vLLM, two key deployment frameworks that often power Llama itself. Meanwhile, Llama’s ‘uses’ edges to Mistral, Gemma 4, DeepSeek V4, and Qwen 3.6 suggest it’s being integrated as a component within multi-model pipelines, not deployed standalone. The May 2026 news that Ollama now runs Codex locally—supporting DeepSeek V4, Gemma 4, and Qwen 3.6—signals that Llama is losing its default status in local inference. Amazon’s SageMaker now fine-tunes Llama alongside rivals, further commoditizing it. With only 4 mentions in the last 30 days and a partnership with MiniMax, Llama risks becoming just another open-weight option in Meta’s portfolio rather than the dominant one.

• ·Competes with its own deployment tools (llama.cpp, vLLM)
• ·Used alongside rival models (Mistral, Gemma 4, DeepSeek V4, Qwen 3.6)
• ·Ollama now prioritizes competitors for local inference
• ·Amazon SageMaker treats Llama as one fine-tuning option among many
• ·Low recent mention velocity (4 in 30 days) suggests waning mindshare