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b3306 #208

Merged
merged 18 commits into from
Jul 4, 2024
Merged

b3306 #208

merged 18 commits into from
Jul 4, 2024

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Nexesenex
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slaren and others added 18 commits July 3, 2024 20:33
* ppl : fix n_seq_max for perplexity

* use 1 seq for kl_divergence
* llama : suppress unref var in Windows MSVC

This commit suppresses two warnings that are currently generated for
src/llama.cpp when building on Windows MSVC

```console
C:\llama.cpp\src\llama.cpp(14349,45): warning C4101: 'ex':
unreferenced local variable [C:\llama.cpp\build\src\llama.vcxproj]
C:\llama.cpp\src\llama.cpp(19285,44): warning C4101: 'e':
unreferenced local variable [C:\llama.cpp\build\src\llama.vcxproj]
```

* Update src/llama.cpp

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
This commit adds the compile definition `_CRT_SECURE_NO_WARNINGS`
to the root cmake subproject.

The motivation for this is that currently the following warnings are
displayed when compiling the tests and common cmake subprojects:
```console
test-llama-grammar.cpp
C:\llama.cpp\src\.\llama.cpp(1406,77): warning C4996: 'strerror':
This function or variable may be unsafe. Consider using strerror_s
instead. To disable deprecation, use _CRT_SECURE_NO_WARNINGS. See
online help for details.
[C:\llama.cpp\build\tests\test-llama-grammar.vcxproj]
...
```

This compile definition is currently set for the `src` subproject
and this change moves into the root cmake project so that it is applied
to all cmake subprojects.
* llama : add inference support and model types for T5 and FLAN-T5 model families

* llama : add new API functions to support encoder-decoder models: llama_encode(), llama_model_has_encoder(), llama_model_decoder_start_token()

* common, llama-cli, llama-batched : add support for encoder-decoder models

* convert-hf : handle shared token embeddings tensors in T5Model

* convert-hf : add support for SentencePiece BPE tokenizer in T5Model (for Pile-T5 models)

* convert-hf : add MT5ForConditionalGeneration and UMT5ForConditionalGeneration to architectures supported by T5Model

* convert : add t5 tokenizer tests, use "slow" HF tokenizer for t5

---------

Co-authored-by: Stanisław Szymczyk <sszymczy@gmail.com>
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
This commit adds a new option to the tokenize example, --show-count.
When this is set the total number of tokens are printed to stdout.

This was added as an option as I was concerned that there might be
scripts that use the output from this program and it might be better to
not print this information by default.

The motivation for this is that can be useful to find out how many
tokens a file contains, for example when trying to determine prompt
input file sizes for testing.

Signed-off-by: Daniel Bevenius <daniel.bevenius@gmail.com>
* Initial OpenELM support (270M only so far)

* Fill out missing entries in llama_model_type_name

* fixup! Initial OpenELM support (270M only so far)

Fix formatting

* llama : support all OpenELM models

* llama : add variable GQA and variable FFN sizes

Some metadata keys can now also be arrays to support setting
their value per-layer for models like OpenELM.

* llama : minor spacing changes

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>

* llama : use std::array for per-layer hparams

* llama : fix save/load state

* llama : do not print hparams for vocab-only models

* llama : handle n_head == 0

* llama : use const ref for print_f and fix division by zero

* llama : fix t5 uses of n_head and n_ff

* llama : minor comment

---------

Co-authored-by: Francis Couture-Harpin <git@compilade.net>
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
* main: add need_insert_eot

* do not format system prompt if it is empty
@Nexesenex Nexesenex merged commit 21c8ba4 into Nexesenex:spacestream Jul 4, 2024
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9 participants