mirror of
https://github.com/ggerganov/llama.cpp
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* server : support unified context across slots * cont : fix speculative decoding initialization * context : fix n_ctx_per_seq computation * server : purge slots one by one * tests : add unified cache server tests * llama : update per-seq context computation * test-thread-safety : handle tiny training context of the input model * server : fix server_tokens clear() * server : use 4 slots + unified KV by default * llama : add note about context size queries * cont : update todos [no ci] * context : do not cap the size of the context * tests : adjust parameters to be CI friendlier * context : add warning |
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| .. | ||
| batched-bench | ||
| cvector-generator | ||
| export-lora | ||
| gguf-split | ||
| imatrix | ||
| llama-bench | ||
| main | ||
| mtmd | ||
| perplexity | ||
| quantize | ||
| rpc | ||
| run | ||
| server | ||
| tokenize | ||
| tts | ||
| CMakeLists.txt | ||