llamafile v0.4

llamafile lets you distribute and run LLMs with a single file

This release features Mixtral support. Support has been added for Qwen
models too. The --chatml, --samplers, and other flags are added.

• 820d42d Synchronize with llama.cpp upstream

GPU now works out of the box on Windows. You still need to pass the
-ngl 35 flag, but you're no longer required to install CUDA/MSVC.

• a7de00b Make tinyBLAS go 95% as fast as cuBLAS for token generation (#97)
• 9d85a72 Improve GEMM performance by nearly 2x (#93)
• 72e1c72 Support CUDA without cuBLAS (#82)
• 2849b08 Make it possible for CUDA to extract prebuilt DSOs

Additional fixes and improvements:

• c236a71 Improve markdown and syntax highlighting in server (#88)
• 69ec1e4 Update the llamafile manual
• 782c81c Add SD ops, kernels
• 93178c9 Polyfill $HOME on some Windows systems
• fcc727a Write log to /dev/null when main.log fails to open
• 77cecbe Fix handling of characters that span multiple tokens when streaming

Our .llamafiles on Hugging Face have been updated to incorporate these
new release binaries. You can redownload here:

• https://huggingface.co/jartine/llava-v1.5-7B-GGUF/tree/main
• https://huggingface.co/jartine/mistral-7b.llamafile/tree/main
• https://huggingface.co/jartine/wizardcoder-13b-python/tree/main
• https://huggingface.co/jartine/Mixtral-8x7B-v0.1.llamafile/tree/main