llama_cpp_for_radxa_dragon_.../examples
Georgi Gerganov 225e7a1438
llama : add high-throughput mode (#14363)
* kv-cache : prepare K/V buffers for separation

ggml-ci

* batched-bench : fix oob write

ggml-ci

* llama : add "virtual sequences"

ggml-ci

* llama : use "stream" vs "virtual sequence"

ggml-ci

* graph : fix stream splitting when KV cache is not used

ggml-ci

* kv-cache : add multi-stream save/load support

ggml-ci

* llama : add "--attn-streams" flag

ggml-ci

* kv-cache : fix handling when find_slot fails

ggml-ci

* kv-cache : restore find_slot impl

ggml-ci

* kv-cache : add comments

* kv-cache : add bounds checks for sequence id

ggml-ci

* cont : add n_seq_max to batch allocr

ggml-ci

* kv-cache : perform stream copies lazily after llama_synchronize

ggml-ci

* kv-cache : avoid throwing exceptions across the C boundary

ggml-ci

* CUDA: 4D FlashAttention support (#14628)

* CUDA: 4D FlashAttention support

* CUDA: fix WMMA FA kernel

* llama : rename attn_streams -> kv_unified

ggml-ci

* common : rename kv_split -> kv_unified

ggml-ci

---------

Co-authored-by: Johannes Gäßler <johannesg@5d6.de>
2025-07-16 16:35:42 +03:00
..
batched
batched.swift
convert-llama2c-to-ggml
deprecation-warning
diffusion
embedding
eval-callback
gen-docs
gguf
gguf-hash
gritlm
jeopardy
llama.android
llama.swiftui
lookahead
lookup
parallel
passkey
retrieval
save-load-state
simple
simple-chat
simple-cmake-pkg
speculative
speculative-simple
sycl
training
chat-13B.bat
chat-13B.sh
chat-persistent.sh
chat-vicuna.sh
chat.sh
CMakeLists.txt
convert_legacy_llama.py
json_schema_pydantic_example.py
json_schema_to_grammar.py
llama.vim
llm.vim
Miku.sh
pydantic_models_to_grammar.py
pydantic_models_to_grammar_examples.py
reason-act.sh
regex_to_grammar.py
server-llama2-13B.sh
server_embd.py
ts-type-to-grammar.sh