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48b73b849880ff43f0dd818252cf00cea5a83061
llama.cpp/gguf-py/gguf
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Francis Couture-Harpin 7ef4254a92 ggml-quants : faster 1.625 bpw AVX2 vec_dot
Not using a lookup table anymore makes it match q4_0 speed.

* gguf-py : fix formatting

* llama : remove spaces on empty line
2024-06-27 02:06:28 -04:00
..
__init__.py
convert-hf : support direct Q8_0 conversion (#7234)
2024-05-13 14:10:51 -04:00
constants.py
ggml-quants : 1.625 bpw ternary packing for BitNet 1.58b
2024-06-27 02:06:22 -04:00
gguf_reader.py
Gguf dump start data offset via --data-offset and some extra refactor (#8054)
2024-06-25 22:03:25 +10:00
gguf_writer.py
Option to split during conversion (#6942)
2024-06-24 19:42:03 +10:00
gguf.py
gguf-py: Refactor and allow reading/modifying existing GGUF files (#3981)
2023-11-11 08:04:50 +03:00
lazy.py
convert-hf : support direct Q8_0 conversion (#7234)
2024-05-13 14:10:51 -04:00
py.typed
convert : various script cleanups/fixes + merges and special token handling (#2842)
2023-08-30 11:25:50 +03:00
quants.py
ggml-quants : faster 1.625 bpw AVX2 vec_dot
2024-06-27 02:06:28 -04:00
tensor_mapping.py
gguf-py, convert-hf : model conversion support for T5 and FLAN-T5 model variants (#5763)
2024-06-24 07:06:05 +02:00
vocab.py
Move convert.py to examples/convert-legacy-llama.py (#7430)
2024-05-30 21:40:00 +10:00
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