013e012b87
Merge pull request #286 from Nick-infinity/master
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[Feat]: Add support for meta llama hf model conversion
2023-08-14 07:46:39 -07:00
50f970d170
Merge pull request #289 from chenyangMl/update_readme
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Update readme to introduce llama2.c-zh
2023-08-14 07:41:13 -07:00
2a9a4c4e14
update readme wiht a simple line to introduce llama2.c-zh
2023-08-14 15:12:30 +08:00
79900ff68e
update readme wiht a simple line to introduce llama2.c-zh
2023-08-14 15:00:33 +08:00
82ad2ba34e
remove tiktoken as dependency
2023-08-14 05:53:57 +00:00
c39f19f1a9
[Feat]: Add support for meta llama hf model conversion
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Description:
Llama 2 hf models have weights stored with diff name
Signed-off-by: Nikhil Gupta <nikhilg.me@gmail.com >
2023-08-14 10:18:51 +05:30
bae0bcf484
Small tweaks to Readme intro
2023-08-13 20:03:00 -07:00
45afa91dca
the accum function has been bothering me, there is no real need to add a function here, it does something trivial and is only used twice, scrap
2023-08-14 02:54:27 +00:00
854c97b660
turn topp 0.9 back on by default thanks to recent PR contributions truncating before quicksort
2023-08-14 00:12:45 +00:00
4a2c375df9
Merge pull request #276 from jrudolph/improve-top-p
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optimize sample_topp by filtering out small value elements up front
2023-08-13 17:05:38 -07:00
b3d6a9e6b5
Merge pull request #285 from karpathy/feature/civ2
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Upgrading CI to run our new pytest
2023-08-13 16:55:01 -07:00
091c799653
Merge branch 'master' into feature/civ2
2023-08-13 16:54:24 -07:00
c970f69334
oops i should probably call this function lol
2023-08-13 23:48:01 +00:00
223a67048a
add optional manual dispatch of actions
2023-08-13 23:39:37 +00:00
86325bf7e8
attempt to upgrade the CI to run our pytest
2023-08-13 23:35:29 +00:00
b51c63b9f2
Merge pull request #283 from wizzard0/wizzard0-mention-1
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Add TypeScript port
2023-08-13 14:36:10 -07:00
8506036185
remove 'revive tests' as a todo from the readme
2023-08-13 21:23:27 +00:00
f0024cfc88
revive tests. now that we have a tiny stories260K model this only requires a 2MB download. phew
2023-08-13 21:22:44 +00:00
0805cb2c31
tiny whitespace fix to try to eliminate scrollbar
2023-08-13 13:40:09 -07:00
b2cce341e0
oops typo fix in readme
2023-08-13 13:39:12 -07:00
3e989e21f2
link to stories260K model
2023-08-13 20:38:05 +00:00
58075b5ac5
update API of sample.py to be better, small changes here
2023-08-13 20:31:32 +00:00
1bcb2d18d6
Merge pull request #284 from karpathy/feature/customtokenizer
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multiquery support add
2023-08-13 12:38:06 -07:00
38bfac90a8
bigchange: add multiquery support in run.c. we can now train and inference multiquery models (where n_kv_heads < n_heads). this also means that we, in principle, support Llama 2 34B and 70B models, which are multiquery
2023-08-13 19:34:05 +00:00
b28c1e26c5
Merge pull request #275 from icppWorld/webassembly-internet-computer
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Notable fork section for WebAssembly
2023-08-13 10:14:39 -07:00
5295cbb821
Merge pull request #281 from lintian06/original_llama2
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Update README.md for a new rust port.
2023-08-13 10:14:00 -07:00
12dec61fbf
Merge pull request #282 from mihainadas/master-1
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Fixes https://github.com/karpathy/llama2.c/issues/280
2023-08-13 10:13:08 -07:00
0e6213c6e0
Mention I can run the full 7B model
2023-08-13 20:02:34 +03:00
1d68a36d14
Add TypeScript port
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I've never been so happy to have missed that the JS port already exists :D also it was nice to discover that the JS can reach 80% of the single-threaded C speed (10 tokens/s for TinyStories-110M)
2023-08-13 19:10:07 +03:00
570789aa04
Fixes https://github.com/karpathy/llama2.c/issues/280
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There was a small bug in tinystories.py, described here: https://github.com/karpathy/llama2.c/issues/280
This commit simply passes vocab_size to get_tokenizer_model_path to avoid silent crash when processing shards (in process_shard)
2023-08-13 17:49:10 +03:00
27adb082f1
Update README.md
2023-08-13 21:58:14 +08:00
8b472ded1f
Merge pull request #272 from karpathy/feature/customtokenizer
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Big Change: Custom Tokenizer training: add the ability to train custom tokenizers instead of using the pretrained Llama 2 tokenizer. This is useful in custom, narrow-domain LLMs because smaller vocab sizes make much smaller, faster, and potentially more capable models. For example, in tinystories a vocab size 4096 custom tokenizer compresses the input text sequences about as well as the Llama 2 tokenizer with vocab size 32000. The result is also "safer" because a badly trained model can't accidentally e.g. output some random chinese character and rapidly go "off the rails" in subsequent tokens.
2023-08-12 20:31:21 -07:00
9ff459b925
todo changes
2023-08-13 03:24:31 +00:00
1d14cb8dd8
add note about 4096 vs 32000 token size on tinystories
2023-08-13 03:19:35 +00:00
fe49eb222c
readme for custom tokenizers
2023-08-13 03:16:18 +00:00
9c3cfb46a3
make default be the llama2 tokenizer
2023-08-13 03:08:07 +00:00
00a61dc7f9
remove the tinyshakespeare dataset until i can bring it back later in a nicer form, otherwise right now we just have a ton of copy paste code here
2023-08-13 02:18:30 +00:00
f5fc0c245f
final piece: run.c support for new tokenizer, super ez
2023-08-13 02:12:13 +00:00
ea4cedc588
add ability to export custom tokenizer to .bin format for run.c file
2023-08-13 02:00:19 +00:00
d421a95b2b
optimize sample_topp by filtering out small value elements up front
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This works because we know that in worst case only 1 element will be selected
and therefore the remaining (n-1) elements have to split the remaining (1-topp)
probability. Probabilities smaller than that cannot be selected and can
be filtered out up front.
2023-08-12 20:31:19 +02:00
b0cfa2458d
ok i can train and sample a model with a custom tokenizer
2023-08-11 16:47:29 +00:00
f96c7afb2d
Notable fork section for WebAssembly
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Added my repo `icpp-lmm` for running it on the Internet Computer
2023-08-11 10:11:32 -04:00
4c6f0af9ff
add the ability to train a custom sentencepiece tokenizer with a given vocab_size, and pretok with it. some more changes still needed to merge this branch, in train.py and ofc run.c. did this in a sadly bit ugly, but fully backwards compatible way. basically when we use custom tokenizer we create a whole new directory structure for that
2023-08-11 03:58:22 +00:00
c42641205f
turn off topp sampling by default because it is a bit too slow to be the default. it is likely that turning it on, e.g. -p 0.9 is midlly higher quality and safer samples, but this comes at a cost of too much performance in double digit percent sometimes, for it to be on by default i think...
2023-08-10 15:23:05 +00:00
3f69c6cdc4
change the default to use runfast, which imo works just fine
2023-08-10 05:06:49 +00:00
5f8068fd43
Merge pull request #260 from madroidmaq/master
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Add Jupyter notebook for easier feel the magic
2023-08-09 22:03:36 -07:00
f60285ee78
Merge pull request #264 from trrahul/master
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Added C# port information in readme
2023-08-09 22:00:23 -07:00
04121d1b85
Merge pull request #256 from rdentato/patch-rng-seed
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Patch rng seed
2023-08-09 21:56:07 -07:00
256e7f885b
Added C# port information in readme
2023-08-09 17:59:47 +05:30
e36e3fb50d
Merge branch 'master' of github.com:karpathy/llama2.c
2023-08-09 02:08:37 +00:00
Andrej
chenyang
Nikhil Gupta
Oleksandr Nikitin
Mihai Nadăș
Tian Lin
Johannes Rudolph
icpp
Rahul TR