Commit Graph

829 Commits

Author SHA1 Message Date
Justine Tunney
4e3880978f
Fix memory bug in grammar parser (#7194)
The llama.cpp grammar parser had a bug where forgetting to add a closing
quotation mark to strings would cause parsing to crash. Anyone running a
server on a public endpoint is advised to upgrade. To reproduce this bug

    ./llamafile -m foo.gguf -p bar --grammar 'root::="'

Credit for discovering and reporting this issue goes to Eclypsium
Security Researcher Richard Johnson <Richard.johnson@eclypsium.com>.
2024-05-10 21:01:08 +10:00
HanishKVC
f89fe2732c
Main+: optionally allow special tokens from user in interactive mode (#7097)
@hanishkvc added a new `--interactive-specials` flag which would allow for inserting special tokens from user side into the embedding stream.
2024-05-10 20:21:58 +10:00
Andrei
d11afd6652
llava : fix moondream support (#7163)
* Revert "Revert "llava : add support for moondream vision language model (#6899)""

This reverts commit 9da243b36a.

* Fix num_positions and embeddings initialization
2024-05-10 09:41:10 +03:00
slaren
eaf4bd8b39
eval-callback : fix conversion to float (#7184) 2024-05-10 01:04:12 +02:00
Ahmet Zeer
07cd41d096
TypoFix (#7162) 2024-05-09 10:16:45 +02:00
compilade
f98eb31c51
convert-hf : save memory with lazy evaluation (#7075)
* convert-hf : begin refactoring write_tensor

* convert : upgrade to sentencepiece v0.2.0

* convert-hf : remove unused n_dims in extra_*_tensors

* convert-hf : simplify MoE weights stacking

* convert-hf : flake8 linter doesn't like semicolons

* convert-hf : allow unusual model part names

For example, loading `model-00001-of-00001.safetensors` now works.

* convert-hf : fix stacking MoE expert tensors

`torch.stack` and `torch.cat` don't do the same thing.

* convert-hf : fix Mamba conversion

Tested to work even with a SentencePiece-based tokenizer.

* convert : use a string for the SentencePiece tokenizer path

* convert-hf : display tensor shape

* convert-hf : convert norms to f32 by default

* convert-hf : sort model part names

`os.listdir` is said to list files in arbitrary order.
Sorting the file names should let "model-00009-of-00042.safetensors"
be loaded before "model-00010-of-00042.safetensors".

* convert-hf : use an ABC for Model again

It seems Protocol can't be used as a statically type-checked ABC,
because its subclasses also can't be instantiated. (why did it seem to work?)

At least there's still a way to throw an error when forgetting to define
the `model_arch` property of any registered Model subclasses.

* convert-hf : use a plain class for Model, and forbid direct instantiation

There are no abstract methods used anyway,
so using ABC isn't really necessary.

* convert-hf : more consistent formatting of cmdline args

* convert-hf : align the message logged for converted tensors

* convert-hf : fix Refact conversion

* convert-hf : save memory with lazy evaluation

* convert-hf : flake8 doesn't like lowercase L as a variable name

* convert-hf : remove einops requirement for InternLM2

* convert-hf : faster model parts loading

Instead of pre-loading them all into a dict, iterate on the tensors
in the model parts progressively as needed in Model.write_tensors

Conversion for some architectures relies on checking for the presence
of specific tensor names, so for multi-part models, the weight map is read
from the relevant json file to quickly get these names up-front.

* convert-hf : minor changes for consistency

* gguf-py : add tqdm as a dependency

It's small, and used for a progress bar
in GGUFWriter.write_tensors_to_file
2024-05-08 18:16:38 -04:00
Johannes Gäßler
c12452c7ae
JSON: [key] -> .at(key), assert() -> GGML_ASSERT (#7143) 2024-05-08 21:53:08 +02:00
Georgi Gerganov
9da243b36a
Revert "llava : add support for moondream vision language model (#6899)"
This reverts commit 46e12c4692.
2024-05-08 22:14:39 +03:00
JohnnyB
bd1871fa2b
server : add themes + favicon (#6848)
* Added themes support with two sample themes and a favicon.

* Newline

* Newline

* Newline

* Trailing whitespace

* Increased opacity for contrast

* Increase opacity.

Check actions cancelled for some other priority job and I can't seem to manually re-run them, so MOAR OPACITY

* Opacity action trigger.

Trying to re-trigger the cancelled action.

* One more opacity adjustment

This Actions pipeline is failing for random issues.

* Delete examples/server/themes/buttons_top/completion.js

This will be served from the static string built-in to server.

* Delete examples/server/themes/buttons_top/index.js

This will be served from the static string built-in to server.

* Delete examples/server/themes/wild/completion.js

This will be served from the static string built-in to server.

* Delete examples/server/themes/buttons_top/json-schema-to-grammar.mjs

This will be served from the static string built-in to server.

* Delete examples/server/themes/wild/index.js

This will be served from the static string built-in to server.

* Delete examples/server/themes/wild/json-schema-to-grammar.mjs

This will be served from the static string built-in to server.

* Replaced underscore.
2024-05-08 22:12:06 +03:00
Dawid Potocki
83330d8cd6
main : add --conversation / -cnv flag (#7108) 2024-05-08 17:32:32 +03:00
Johan
911b3900dd
server : add_special option for tokenize endpoint (#7059) 2024-05-08 15:27:58 +03:00
Xuan Son Nguyen
1fd9c1741d
clean up json_value & server_log (#7142) 2024-05-08 13:24:14 +02:00
Justine Tunney
3855416027
ggml : introduce bfloat16 support (#6412)
* Introduce bfloat16 support

Many models on Hugging Face (e.g. Mistral, TinyLLaMA) use bfloat16 as
their canonical floating point format.

      ┌sign
      │
      │   ┌exponent
      │   │
      │   │      ┌mantissa
      │   │      │
      │┌──┴───┐┌─┴───┐
    0b0000000000000000 brain16

This encoding has the same number of exponent bits as float32. That
makes conversion relatively straightforward, even in the absence of
hardware support. For example, converting brain16 to binary32 means
simply shifting 16 bits to the left.

      ┌sign
      │
      │   ┌exponent
      │   │
      │   │      ┌mantissa
      │   │      │
      │┌──┴───┐┌─┴───────────────────┐
    0b00000000000000000000000000000000 IEEE binary32

The issue is that converting bf16 to fp16 can result in information
loss. Only 13% of bf16 numbers can be precisely represented in fp16
which in practice ends up being 99.71% of Mistral 7b v0.2's weights
however there is currently no way other than fp32 to get the others

      ┌sign
      │
      │  ┌exponent
      │  │
      │  │    ┌mantissa
      │  │    │
      │┌─┴─┐┌─┴──────┐
    0b0000000000000000 IEEE binary16

This change fixes that, by adding a bf16 data type to GGML. Support
for CPU inference has been implemented along with optimizations for
the AVX2, AVX512, and AVX512BF16 ISAs. Perplexity on Mistral 7b 0.2
improves somewhere around -0.0024 to -0.0046 compared to using fp16

* Remove GGML code that's not needed

* Minimize the GGML API surface area for BF16

* Remove bf16 luts

* Make the GGML header look nicer

* Fix documentation

* Apply ggerganov's fixes for test-backend-ops

* Add BF16 code for new ggml_validate_row_data() function
2024-05-08 09:30:09 +03:00
jukofyork
48b2f9c1fc
Fixed save_imatrix to match old behaviour for MoE (#7099)
* Fixed save_imatrix to match old behaviour for MoE

This fix is simple and clear, but unnecessarily doubles the memory overhead..

* Fixed missing idx variable

* Unconditionally increment ncall

Co-authored-by: slaren <slarengh@gmail.com>

* Fixed 2 bugs in save_imatrix()

- Fixed segfault bug because the counts vector needed to be created.
- Fixed pre-existing bug didn't actually add to the counts for "--combine" option.

* ncall needs summing too

* Trailing whitespace

---------

Co-authored-by: slaren <slarengh@gmail.com>
2024-05-08 02:24:16 +02:00
Johannes Gäßler
af0a5b6163
server: fix incorrectly reported token probabilities (#7125)
* server: normalize token probabilities

* fix temperature == 0.0f
2024-05-07 23:07:58 +02:00
Kyle Mistele
260b7c6529
server : update readme with undocumented options (#7013) 2024-05-07 21:44:29 +03:00
RhinoDevel
3af34c1d1b
main : update log text (EOS to EOG) (#7104)
* Update log text (EOS to EOG)

The log text "found EOS" is no longer always correct, here, because there is now an is-EOG check that also returns true for EOT.

* Improve log msg. further by using "an" instead of "some".

As suggested, to avoid misunderstanding (no multiple EOG tokens found, just one).
2024-05-07 20:51:31 +03:00
omahs
04976db7a8
docs: fix typos (#7124)
* fix typo

* fix typos

* fix typo

* fix typos

* fix typo

* fix typos
2024-05-07 18:20:33 +03:00
kunnis
628b299106
Adding support for the --numa argument for llama-bench. (#7080) 2024-05-05 14:17:47 +02:00
Xuan Son Nguyen
842500144e
gguf-split: add --no-tensor-first-split (#7072) 2024-05-04 18:56:22 +02:00
maor-ps
03fb8a002d
If first token generated from the server is the stop word the server will crash (#7038)
This will reproduce the issue in llama13b
{
'prompt': 'Q: hello world \nA: ',
 'stop': ['\n'],
 'temperature': 0.0,
 'n_predict': 10,
 'cache_prompt': True,
 'n_probs': 10
}
2024-05-04 11:06:40 +02:00
l3utterfly
8d608a81b7
main : fix off by one error for context shift (#6921) 2024-05-01 22:27:41 +03:00
Johannes Gäßler
3ea0d36000
Server: add tests for batch size, different seeds (#6950) 2024-05-01 17:52:55 +02:00
Johannes Gäßler
a8f9b07631
perplexity: more statistics, added documentation (#6936)
* perplexity: more statistics, added documentation

* add LLaMA 3 8b scoreboard
2024-04-30 23:36:27 +02:00
Georgi Gerganov
9c67c2773d
ggml : add Flash Attention (#5021)
* ggml : add ggml_flash_attn_ext API

* ggml : fix GQA support in ggml_flash_attn_ext

* ggml : online attention (CPU)

* metal : initial implementation

* metal : f16 precision

* metal : reduce branches

* metal : specialize for head size

* wip : 8 rows per simd group

* wip : 4 rows per simd group

* wip : template for rows per warp

* metal : parallelize across KV size

* metal : parallel reduce across heads

* metal : efficient flash_attn_f16 implementation

* metal : avoid redundant loads of the attention

* metal : scale and mask in matrix form

* metal : fix comment

* llama : avoid ggml_cast, use F32 query

* metal : add parallel reduce version (disabled)

* metal : move output into local memory + optimize

- the result from each simdgroup now stays in the registers
- significantly reduced SRAM usage
- more efficient skipping of -INF blocks
- avoid simdgroup barrier in hot loop
- add comments

* metal : add tests, fix scaling, support C > 32

* metal : improve precision

* ggml : fix f16 mad

* metal : minor

* metal : support Q > 8

* tests : add ATTN tests

* metal : disable buffer allocation logs

* tests : more

* metal : faster inner loop for C == 32

* metal : fix array initialization

* tests : ifdef

* ggml : switch to padded F16 mask for ggml_soft_max, ggml_flash_attn_ext

* ggml : fix ggml_soft_max mask requirement

* cuda : fix soft_max to use correct mask size

* cuda : add flash_attn kernel (wip)

* metal : optimize softmax for C > 32

* metal : optimize softmax

* tests : minor fix

* cuda : avoid zeroing fragments

* tests : update dims

* cuda : fix __hisinf() result check

* cuda : avoid warp_reduce for smax

* cuda : use int instead of int64_t

Noticeably improves performance (thanks to Johannes)

* cuda : make loops use the same loop values

Thanks Johannes again for the tip

* cuda : unroll some of the loops

* cuda : avoid __hisinf branches

* cuda : use half2 in softmax

* cuda : switch to 1 warp for bs > 16

* cuda : speed-up reduce part of the kernel

* cuda : unroll Q*K^T loop

* cuda : fix -INF block check

* cuda : simplify softmax

* cuda : fix matrix names

* cuda : minor

* llama : adapt to F16 KQ_pos

* llama : adapt new models to F16 KQ_mask

* ggml : fix F16 store (ARM NEON)

* llama : fix type of KQ_mask and KQ_pos

* ggml : fix CPU soft_max

* tests : add hs=256

* cuda : fix build

* metal : improve perf via smaller int registers

* cuda : adapt soft_max to F16 mask and pos

* CUDA: faster FlashAttention, kernel for bs == 1

* 16 cols for Phi-2

* no vec for hs, no hs==256 ncols==32 for Volta

* adjust kernel selection logic

* 4 warps, 256 stride for all D

* no ncols == 64

* Multiple parallel blocks for batch size 1

* fix compile warnings

* fix excessive KQ_b loads

* fix cmake build

* fix KV cache padding, NaN from INFINITY (#6438)

* llama : flash_attn cparam + fix defrag

* server: support flash_attn param

* server: bench: enable flash_attn param

* CUDA: refactor host code, dyn. par. blocks

* fix flash_attn_vec_f16 race condition

* flush softmax exp below threshold to 0

* store temp KQ in registers

* Calculate KQ as FP32 if KQV has GGML_PREC_F32

* Add __hgt2_mask implementation for CUDA 11

* fix KQ FP32 precision fpr parallel_blocks > 1

* llama-bench : add -fa,--flash-attn arg

* metal : add BS=1 kernel for flash attention (#6508)

* metal : add BS=1 kernel for flash attention (wip)

* metal : support more than 1 warps

* metal : opts

* metal : opt

* metal : switch to parallel reduce

* metal : reduce registers

* metal : simplify

* metal : initial FA vec kernel

* metal : use F32 attention accumulators

* batched-bench : add fattn arg

* llama : simplify llama_build_kv_store

ggml-ci

* llama : adapt build_olmo to changes

* ggml : fix arm fp16 store on windows

* metal : clean-up

* metal : clean-up kernel code

* metal : minor

* tests : remove benchmarks

ggml-ci

* ggml : fix avx512 const correctness

ggml-ci

* ggml : fix soft_max with bias on CPU

ggml-ci

* common : print --flash-attn in help

* ggml : fix num dimensions in ggml_flash_attn_ext

* llama : force disable flash attention for incompatible models

* ggml : ggml_soft_max support F16/F32 mask/pos

ggml-ci

* cuda : uint -> uint32_t

* cuda : "constexpr dim3" -> "const dim3"

ggml-ci

* cuda : try to fix __hgt2_mask

ggml-ci

* ggml : add TODO's for F16/F32 mask/pos support in other backends

* llama : replace bool need_kq_pos with use_alibi

* llama : prep ALiBi support for BERT models

ggml-ci

* llama : fix n_batch requirements

ggml-ci

* cont

* server : add help for --flash-attn arg

* llama : disable FA for AMD

* tests : remove TMP_ATTN_BENCH

ggml-ci

* llama : support save/load state with FA enabled

ggml-ci

* ci : add CUDA save-load-state tests

ggml-ci

* llama : llama_kv_cache_clear zeroes data + fix save-load seq

ggml-ci

* llama : fix copy-paste errors, add TODO

* llama : disallow incompatible states

* llama : update llama_state_get_size after v_trans field

* metal : remove tmp log

* llama : add static reminder for llama_state_get_size

* metal : fix max nsg

ggml-ci

* ci : fix arg order

ggml-ci

---------

Co-authored-by: Johannes Gäßler <johannesg@5d6.de>
Co-authored-by: Pierrick HYMBERT <pierrick.hymbert@gmail.com>
2024-04-30 12:16:08 +03:00
Olivier Chafik
8843a98c2b
Improve usability of --model-url & related flags (#6930)
* args: default --model to models/ + filename from --model-url or --hf-file (or else legacy models/7B/ggml-model-f16.gguf)

* args: main & server now call gpt_params_handle_model_default

* args: define DEFAULT_MODEL_PATH + update cli docs

* curl: check url of previous download (.json metadata w/ url, etag & lastModified)

* args: fix update to quantize-stats.cpp

* curl: support legacy .etag / .lastModified companion files

* curl: rm legacy .etag file support

* curl: reuse regex across headers callback calls

* curl: unique_ptr to manage lifecycle of curl & outfile

* curl: nit: no need for multiline regex flag

* curl: update failed test (model file collision) + gitignore *.gguf.json
2024-04-30 00:52:50 +01:00
Daniel Bevenius
5539e6fdd1
main : fix typo in comment in main.cpp (#6985)
Signed-off-by: Daniel Bevenius <daniel.bevenius@gmail.com>
2024-04-29 13:56:59 -04:00
Olivier Chafik
b8a7a5a90f
build(cmake): simplify instructions (cmake -B build && cmake --build build ...) (#6964)
* readme: cmake . -B build && cmake --build build

* build: fix typo

Co-authored-by: Jared Van Bortel <cebtenzzre@gmail.com>

* build: drop implicit . from cmake config command

* build: remove another superfluous .

* build: update MinGW cmake commands

* Update README-sycl.md

Co-authored-by: Neo Zhang Jianyu <jianyu.zhang@intel.com>

* build: reinstate --config Release as not the default w/ some generators + document how to build Debug

* build: revert more --config Release

* build: nit / remove -H from cmake example

* build: reword debug instructions around single/multi config split

---------

Co-authored-by: Jared Van Bortel <cebtenzzre@gmail.com>
Co-authored-by: Neo Zhang Jianyu <jianyu.zhang@intel.com>
2024-04-29 17:02:45 +01:00
cpumaxx
ffe666572f
llava-cli : multiple images (#6969)
Co-authored-by: root <root@nenya.lothlorien.ca>
2024-04-29 17:34:24 +03:00
Pierrick Hymbert
b7368332e2
ci: server: tests python env on github container ubuntu latest / fix n_predict (#6935)
* ci: server: fix python env

* ci: server: fix server tests after #6638

* ci: server: fix windows is not building PR branch
2024-04-27 17:50:48 +02:00
Pierrick Hymbert
0c4d489e29
quantize: add imatrix and dataset metadata in GGUF (#6658)
* imatrix: save the dataset file used in the output file

* llama: support kv overrides type string string

* common: factorize KV Overrides parsing between common and server

* quantize: add imatrix n entries and dataset KV metadata
quantize: factorize KV Overrides parsing between common
#6656

* llama: remove kv override str_value initialization as it does not compile on some toolchain

* quantize: add imatrix m_last_call as `quantize.imatrix.chunks_count`

* quantize: add imatrix filename in KV

* llama: add llama_model_kv_override_free

* common: add llama_model_kv_override_free
common: free kv override if used after model loading

* llama: finally move the string KV override value to the stack

* llama : minor

* no need to add a NUL to the std::vector, std::string can be initialized from a pair of iterators.

Co-authored-by: slaren <slarengh@gmail.com>

* kv override: ensure string termination

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
Co-authored-by: slaren <slarengh@gmail.com>
2024-04-26 20:06:33 +02:00
Pierrick Hymbert
7f5ff558ee
server: stop generation at n_ctx_train if n_predict is not set (#6638)
* server: cap n_predict if not set to n_ctx_train

* server: fix infinite loop

* server: infinite loop, move in process_token
server: infinite loop: set stop limit to true

* minor: spaces

* minor: spaces

* server: include prompt tokens in the EOS limit
2024-04-26 12:15:30 +02:00
Pierrick Hymbert
5790c8dac1
bench: server add stop word for PHI-2 (#6916) 2024-04-26 09:26:16 +02:00
vik
46e12c4692
llava : add support for moondream vision language model (#6899)
* add support for moondream vision language model

This required making the following changes to the CLIP model:

1. Support for patch embedding bias.
2. Make class embedding and pre-layernorm optional.
3. Add support for post-layernorm.

* Update examples/llava/clip.cpp

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-04-25 22:38:31 +03:00
Daniel Bevenius
4ab99d8d47
clip : rename lerp function to avoid conflict (#6894)
This commit renamesthe lerp (linear interpolation) function in clip.cpp
to avoid a conflict with the lerp function in the <cmath> standard C++
library when using c++20.

The motivation for this change is to enable projects that use c++20 to
be able to compile clip.cpp without having to resort to patching it. The
lerp function was added to cmath in version C++20 (202002L) and is why
this is not causing any issue at the moment as C++11/C++17 is currently
used by llama.cpp.

I realize that llama.cpp uses either C++11 (or C++17 in the case for
SYCL) but wanted to ask if this would be an acceptable change just the
same.

Refs: https://en.cppreference.com/w/cpp/numeric/lerp

Signed-off-by: Daniel Bevenius <daniel.bevenius@gmail.com>
2024-04-25 15:38:14 +03:00
Georgi Gerganov
aa750c1ede
tests : minor bash stuff (#6902)
* tests : minor bash stuff

ggml-ci

* llama : fix build

ggml-ci

* tests : fix CUR_DIR -> ROOT_DIR

ggml-ci

* tests : fix fname

ggml-ci
2024-04-25 14:27:20 +03:00
jiez
1966eb2615
quantize : add '--keep-split' to quantize model into shards (#6688)
* Implement '--keep-split' to quantize model into several shards

* Add test script

* Update examples/quantize/quantize.cpp

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

* Split model correctly even if tensor id is out-of-order

* Update llama_model_quantize_params

* Fix preci failures

---------

Co-authored-by: z5269887 <z5269887@unsw.edu.au>
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-04-25 13:29:35 +03:00
mgroeber9110
3fe847b574
server : do not apply Markdown formatting in code sections (#6850) 2024-04-24 13:54:24 +03:00
Kyle Mistele
37246b1031
common : revert showing control tokens by default for server (#6860)
* fix: revert showing control tokens by default

* feat: revert changes to default behavior of llama_token_to_piece; provide overridden declaration to receive "bool special" param to toggle showing control tokens

* feat: use the overridden declaration of llama_token_to_piece from common/common.cpp to specify "false" so that control tokens are not shown in chat completion responses"

* common : simplify

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-04-24 13:15:29 +03:00
Johannes Gäßler
28103f4832
Server: fix seed for multiple slots (#6835)
* Server: add tests for consistent results

* sampling: separate rng per sampling context
2024-04-24 11:08:36 +02:00
Olivier Chafik
5cf5e7d490
build: generate hex dump of server assets during build (#6661)
* `build`: generate hex dumps of server assets on the fly

* build: workaround lack of -n on gnu xxd

* build: don't use xxd in cmake

* build: don't call xxd from build.zig

* build: more idiomatic hexing

* build: don't use xxd in Makefile (od hackery instead)

* build: avoid exceeding max cmd line limit in makefile hex dump

* build: hex dump assets at cmake build time (not config time)
2024-04-21 18:48:53 +01:00
Georgi Gerganov
40f74e4d73
llama : add option to render special/control tokens (#6807)
* make : fix common dep on llama.h

* llama : add option to render special tokens

* readme : add API change notice

ggml-ci

* swift : fix build
2024-04-21 18:36:45 +03:00
Justine Tunney
89b0bf0d5d
llava : use logger in llava-cli (#6797)
This change removes printf() logging so llava-cli is shell scriptable.
2024-04-21 15:19:04 +03:00
Pedro Cuenca
b97bc3966e
llama : support Llama 3 HF conversion (#6745)
* Support Llama 3 conversion

The tokenizer is BPE.

* style

* Accept suggestion

Co-authored-by: Sourab Mangrulkar <13534540+pacman100@users.noreply.github.com>

* llama : add llama_token_is_eog()

ggml-ci

* llama : auto-detect more EOT tokens when missing in KV data

* convert : replacing EOS token is a hack

* llama : fix codegemma EOT token + add TODOs

* llama : fix model type string for 8B model

---------

Co-authored-by: Sourab Mangrulkar <13534540+pacman100@users.noreply.github.com>
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-04-21 14:50:41 +03:00
Jan Boon
b8109bc013
doc : server tests require llama to be built with curl enabled (#6788) 2024-04-20 18:29:50 +02:00
Pierrick Hymbert
637e9a86c2
server: static: upstream upgrade (#6765) 2024-04-19 13:19:01 +02:00
Austin
8b1b1f4982
train : add general name (#6752)
* llama : make general.name optional

* train: Add 'general.name' to model metadata

Signed-off-by: teleprint-me <77757836+teleprint-me@users.noreply.github.com>

---------

Signed-off-by: teleprint-me <77757836+teleprint-me@users.noreply.github.com>
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-04-19 10:16:45 +03:00
slaren
0d56246f4b
ggml : group all experts in a single ggml_mul_mat_id (#6505)
* ggml : group all experts in a single ggml_mul_mat_id
cuda : improve mmid row copy

* cuda : fix bin bcast with non-cont src0

* test-backend-ops : only run all mul mat tests for base types

* llama : disable moe offloading with SYCL

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-04-18 15:18:48 +02:00
Justine Tunney
8cc91dc63c
ggml : add llamafile sgemm (#6414)
This change upstreams llamafile's cpu matrix multiplication kernels
which improve image and prompt evaluation speed. For starters, Q4_0
and Q8_0 weights should go ~40% faster on CPU. The biggest benefits
are with data types like f16 / f32, which process prompts 2x faster
thus making them faster than quantized data types for prompt evals.

This change also introduces bona fide AVX512 support since tinyBLAS
is able to exploit the larger register file. For example, on my CPU
llama.cpp llava-cli processes an image prompt at 305 tokens/second,
using the Q4_K and Q4_0 types, which has always been faster than if
we used f16 LLaVA weights, which at HEAD go 188 tokens/second. With
this change, f16 LLaVA performance leap frogs to 464 tokens/second.

On Intel Core i9-14900K this change improves F16 prompt perf by 5x.
For example, using llama.cpp at HEAD with Mistral 7b f16 to process
a 215 token prompt will go 13 tok/sec. This change has fixes making
it go 52 tok/sec. It's mostly thanks to my vectorized outer product
kernels but also because I added support for correctly counting the
number of cores on Alderlake, so the default thread count discounts
Intel's new efficiency cores. Only Linux right now can count cores.

This work was sponsored by Mozilla who's given permission to change
the license of this code from Apache 2.0 to MIT. To read more about
what's improved, and how it works, see: https://justine.lol/matmul/
2024-04-16 21:55:30 +03:00
Daniel Bevenius
8a56075b07
gritlm : add --outdir option to hf.sh script (#6699)
This commit updates the hf.sh script usage to include the --outdir option
and specifies the models directory as the output directory.

The motivation for this is to avoid cluttering the root directory with
model files.

Signed-off-by: Daniel Bevenius <daniel.bevenius@gmail.com>
2024-04-16 09:34:06 +03:00