de477314ed
Fix newlines not recognized when feeding newlines in the prompt.
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Tokenizer would misinterpret the newlines. In general, the non-printable
control characters don't seem to be tokenized correctly at the moment. I
added band-aid for newlines but should maybe fix the others too.
3 years ago
687bbf1249
Add instructions on how to use OpenCL in the README.md
3 years ago
8de18bdc77
Add screenshot to README.md.
3 years ago
a2e88c1193
Update README.md
3 years ago
b4d5cf91a7
Mention in README.md that using OpenCL does not cast weights to 32-bit floats.
3 years ago
99da6ed71a
Update README.md benchmarks for new attention OpenCL thing.
3 years ago
35b0c372a8
Implement some attention operations for OpenCL.
3 years ago
6e456e64f3
Add new benchmarks now that this is partially OpenCLified.
3 years ago
63d27dba90
Add partial OpenCL support, it's used in feed forward network only.
3 years ago
df079bceb0
Add records of my benchmarks to README.md so I can compare it later.
3 years ago
c9c861d199
Add some measurements so we can get tokens per second.
3 years ago
22792b26cc
Add an idea about on-disk cache for initial prompt processing (not for weights).
3 years ago
9087c50efa
Add notes about improving sampler to README.md
3 years ago
1a88482988
Add some OpenCL bits.
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I wrote an OpenCL matrix_mul_inplace_transposed. It is much faster than
my CPU implementation for GPU, and also quite a lot faster on CPU
(OpenCL runs on CPU and GPU) than my own implementation.
Basically it can destroy all of my crappy code. So I think I will be
replacing some of my other operations with this stuff in near future.
3 years ago
a92017bf56
Add some initial OpenCL stuff.
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I can copy tensors to GPU and back but not much more. Maybe next time
I'll try implementing matrix_mul_transposed or something on the GPU.
3 years ago
53d367e6fa
Add some beginnings of OpenCL implementation.
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I think I'll try to get the smaller modules run faster.
3 years ago
846759b277
Optimize conversions to and from f16<->32.
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x86 cannot do f16 operations natively, but it does have an instruction
to convert them to f32. I optimized those to use SIMD instructions.
3 years ago
8acb9f32b8
Update README.md for new discoveries.
3 years ago
26d5309cf7
Add support for bigger models.
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I've tested with 13B LLaMA model and it seems to work.
There was a bug in unpickler that skipped over tuples of size 1. I had
written bunch of code assuming there is no bug which I fixed and removed
some unpickling code.
I added functions to tensor.rs to be able construct tensors out of
multiple files.
3 years ago
8a427bcb21
The project is actually called rllama, put that in readme.md.
3 years ago
18ef805458
Read parameters from model's JSON file instead of hard-coding them, make max sequence length configurable.
3 years ago
f103871bc0
Make the output colored. This is essential to be taken seriously.
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Also did some clippy happiness changes.
3 years ago
cd28aba5e2
Make the output look nicer.
3 years ago
d7a3f57510
Update README.md, add multithreading and optimizations to some operations, allow loading prompt from a file.
3 years ago
8bb9404168
Update README to clarify this is a Rust project and to show how to change temperature, top_k, top_p stuff.
3 years ago
f6217e0036
Add readme, make clippy happy.
3 years ago
3b8f904f13
First commit. LLaMA works now. It is not pretty but it does generate text from prompts. Yay.
3 years ago
Mikko Juola