llamafile
Single-file distributable LLM weights + llama.cpp runtime: run large models from one executable with broad OS CPU/GPU support.
Why it is included
Mozilla-backed experiment in trivial distribution of open models for local users.
Best for
Demos, air-gapped USB sticks, and users who want zero pip installs.
Strengths
- One binary
- llama.cpp inside
- Cosmopolitan libc story
Limitations
- Large artifacts; not a cluster scheduler
Good alternatives
Ollama · llama.cpp
Related tools
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llama.cpp
Plain C/C++ inference for LLaMA-class models with broad community backends.
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Local LLM runner and model library with simple CLI and API for workstation inference.
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Apple MLX-based LLM inference and training on Apple silicon: efficient Metal-backed transformers and examples for local chat models.
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ExLlamaV2
Memory-efficient CUDA inference kernels for quantized Llama-class models—popular in consumer GPU chat UIs.
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vLLM
High-throughput LLM serving with PagedAttention, continuous batching, and OpenAI-compatible APIs for GPU clusters.
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SGLang
Structured generation language for fast serving: RadixAttention, constrained decoding, and multi-turn batching for frontier-class workloads.
