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# Conflicts: # docs/build.md # docs/function-calling.md # examples/eval-callback/eval-callback.cpp # ggml/CMakeLists.txt # ggml/src/ggml-cann/ggml-cann.cpp # ggml/src/ggml-cpu/CMakeLists.txt # ggml/src/ggml-cpu/kleidiai/kernels.cpp # ggml/src/ggml-cpu/kleidiai/kernels.h # ggml/src/ggml-cpu/kleidiai/kleidiai.cpp # scripts/compare-llama-bench.py # scripts/server-bench.py # scripts/tool_bench.py # tests/test-chat.cpp # tools/batched-bench/batched-bench.cpp # tools/llama-bench/llama-bench.cpp # tools/server/README.md |
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Diffusion Text Generation
This directory contains implementations for Diffusion LLMs (DLLMs)
More Info:
Example of using Dream architechture: llama-diffusion-cli -m dream7b.gguf -p "write code to train MNIST in pytorch" -ub 512 --diffusion-eps 0.001 --diffusion-algorithm 3 --diffusion-steps 256 --diffusion-visual
Example of using LLaDA architechture: llama-diffusion-cli -m llada-8b.gguf -p "write code to train MNIST in pytorch" -ub 512 --diffusion-block-length 32 --diffusion-steps 256 --diffusion-visual