root/llama.cpp
1
0
Fork 0
mirror of https://github.com/ggerganov/llama.cpp.git synced 2024-11-15 23:39:52 +00:00
Code Issues Actions 14 Packages Projects Releases Wiki Activity
2,680 Commits 347 Branches 2,637 Tags 321 MiB
4fbd8098e6
Commit Graph

2680 Commits

This Branch
This Branch
All Branches
Author SHA1 Message Date
Georgi Gerganov
8f961abdc4
speculative : change default p_accept to 0.5 + CLI args (#3919) 
ggml-ci
 2023-11-03 09:41:56 +02:00
Georgi Gerganov
05816027d6
common : YAYF (yet another YARN fix) (#3925) 
ggml-ci
 2023-11-03 09:24:00 +02:00
cebtenzzre
3fdbe6b66b
llama : change yarn_ext_factor placeholder to -1 (#3922) 2023-11-03 08:31:58 +02:00
Kerfuffle
629f917cd6
cuda : add ROCM aliases for CUDA pool stuff (#3918) 2023-11-02 21:58:22 +02:00
Andrei
51b2fc11f7
cmake : fix relative path to git submodule index (#3915) 2023-11-02 21:40:31 +02:00
Georgi Gerganov
224e7d5b14
readme : add notice about #3912 2023-11-02 20:44:12 +02:00
Georgi Gerganov
c7743fe1c1
cuda : fix const ptrs warning causing ROCm build issues (#3913) 2023-11-02 20:32:11 +02:00
Oleksii Maryshchenko
d6069051de
cuda : use CUDA memory pool with async memory allocation/deallocation when available (#3903) 
* Using cuda memory pools for async alloc/dealloc.

* If cuda device doesnt support memory pool than use old implementation.

* Removed redundant cublasSetStream

---------

Co-authored-by: Oleksii Maryshchenko <omaryshchenko@dtis.com>
 2023-11-02 19:10:39 +02:00
Georgi Gerganov
4ff1046d75
gguf : print error for GGUFv1 files (#3908) 2023-11-02 16:22:30 +02:00
slaren
21958bb393
cmake : disable LLAMA_NATIVE by default (#3906) 2023-11-02 14:10:33 +02:00
Georgi Gerganov
2756c4fbff
gguf : remove special-case code for GGUFv1 (#3901) 
ggml-ci
 2023-11-02 11:20:21 +02:00
Georgi Gerganov
1efae9b7dc
llm : prevent from 1-D tensors being GPU split (#3697) 2023-11-02 09:54:44 +02:00
cebtenzzre
b12fa0d1c1
build : link against build info instead of compiling against it (#3879) 
* cmake : fix build when .git does not exist

* cmake : simplify BUILD_INFO target

* cmake : add missing dependencies on BUILD_INFO

* build : link against build info instead of compiling against it

* zig : make build info a .cpp source instead of a header

Co-authored-by: Matheus C. França <matheus-catarino@hotmail.com>

* cmake : revert change to CMP0115

---------

Co-authored-by: Matheus C. França <matheus-catarino@hotmail.com>
 2023-11-02 08:50:16 +02:00
Georgi Gerganov
4d719a6d4e
cuda : check if this fixes Pascal card regression (#3882) 2023-11-02 08:35:10 +02:00
Georgi Gerganov
183b3fac6c
metal : fix build errors and kernel sig after #2268 (#3898) 2023-11-02 08:33:37 +02:00
cebtenzzre
2fffa0d61f
cuda : fix RoPE after #2268 (#3897) 2023-11-02 07:49:44 +02:00
cebtenzzre
0eb332a10f
llama : fix llama_context_default_params after #2268 (#3893) 2023-11-01 19:29:14 -04:00
slaren
d02e98cde0
ggml-cuda : compute ptrs for cublasGemmBatchedEx in a kernel (#3891) 
* ggml-cuda : compute ptrs for cublasGemmBatchedEx in a kernel

* fix warnings
 2023-11-01 23:10:09 +01:00
cebtenzzre
898aeca90a
llama : implement YaRN RoPE scaling (#2268) 
Co-authored-by: cebtenzzre <cebtenzzre@gmail.com>
Co-authored-by: Jeffrey Quesnelle <jquesnelle@gmail.com>
 2023-11-01 18:04:33 -04:00
Georgi Gerganov
c43c2da8af
llm : fix llm_build_kqv taking unused tensor (benign, #3837) 2023-11-01 23:08:30 +02:00
Georgi Gerganov
523e49b111
llm : fix falcon norm after refactoring (#3837) 2023-11-01 23:00:50 +02:00
Georgi Gerganov
e16b9fa4ba
metal : multi-simd softmax (#3710) 
ggml-ci
 2023-11-01 21:25:00 +02:00
Georgi Gerganov
ff8f9a88da
common : minor (#3715) 2023-11-01 21:15:55 +02:00
Georgi Gerganov
50337961a6
llm : add llm_build_context (#3881) 
* llm : add llm_build_context

* llm : deduce norm eps based on type + explict max_alibi_bias, clamp_kqv

* llm : restore the non-graph llm_build_ functional API

ggml-ci

* llm : cleanup + comments
 2023-11-01 20:11:02 +02:00
bandoti
0e40806c1c
common : allow caller to handle help/argument exceptions (#3715) 
* Allow caller to handle help/argument exceptions

* Prepend newline to usage output

* Add new gpt_params_parse_ex function to hide arg-parse impl

* Fix issue blocking success case

* exit instead of returning false

* Update common/common.h

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

* Update common/common.cpp

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

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
 2023-11-01 19:42:01 +02:00
staviq
a2758d08e4
log : make generating separate log files optional (#3787) 
* impl --log-new, --log-append

* Update common/log.h

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

* Update common/log.h

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

* Apply suggestions from code review

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

---------

Co-authored-by: cebtenzzre <cebtenzzre@gmail.com>
 2023-11-01 16:18:27 +02:00
l3utterfly
e75dfdd31b
sampling : null grammar field after reset (#3885) 2023-11-01 15:40:43 +02:00
Georgi Gerganov
9a3b4f6c86
ggml : fix UNUSED macro (#3762) 2023-11-01 13:50:45 +02:00
Andrew Godfrey
73bdcb395e
finetune : add -ngl parameter (#3762) 
* Add '-ngl' support to finetune.cpp

* Add fprintf in ggml_cuda_op_add

When I tried CUDA offloading during finetuning following the readme, I got an assert here.
This probably isn't an important case because inference later gives a warning saying you should use f16 or f32 instead when using lora

* Add 'finetune.sh', which currently fails when using GPU

"error: operator (): Finetuning on tensors with type 'f16' is not yet supported"

* tweak finetune.sh

* Suppress some warnings in ggml.c

* Add f16 implementation to ggml_compute_forward_add_f16_f32

* Add an f16 case to ggml_add_cast_impl and llama_build_lora_finetune_graphs

* finetune.sh: Edit comments

* Add "add_f16_f32_f32_cuda"

* Tweak an error message

* finetune.sh: Add an optional LLAMA_MODEL_DIR variable

* finetune.sh: Add an optional LLAMA_TRAINING_DIR variable

* train : minor

* tabs to spaces

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
Co-authored-by: cebtenzzre <cebtenzzre@gmail.com>
 2023-11-01 13:49:04 +02:00
Georgi Gerganov
f0e209324a
scripts : add server-llm.sh (#3868) 
* scripts : add deploy-server.sh

* scripts : rename to server-llm.sh

* scripts : working curl pipe
 2023-11-01 11:29:07 +02:00
Adrian Hesketh
ca190bca8e
server : re-enable completion and embedded at the same time (#3876) 2023-11-01 11:28:28 +02:00
Georgi Gerganov
71e3718abd
llama : refactor graph build code (#3837) 
* llama : factor out ggml-alloc from graph graph build functions

ggml-ci

* metal : disable kernel load log

* llama : factor out tensor offloading outside the build call (wip)

ggml-ci

* llama : offload rest of the models

ggml-ci

* llama : update offload log messages to print node index

* llama : comments

* llama : support offloading result_norm + comments

* llama : factor graph input into a function

* llama : do tensor offload only with CUDA

* llama : fix res_norm offloading

* llama : try to optimize offloading code

* llama : fix non-CUDA build

* llama : try to fix build

* llama : move refact in correct place + optimize graph input

* llama : refactor tensor offloading as callback

* llama : add layer index to all tensor names

* llama : add functional header

* llama : comment

ggml-ci

* llama : remove obsolete map for layer counting

* llama : add llm_build helper functions (#3848)

* llama : add llm_build_norm helper function

ggml-ci

* llama : add llm_build_ffn helper function (#3849)

ggml-ci

* llama : add llm_build_k_shift helper

ggml-ci

* llama : fix offloading after recent changes

* llama : add llm_build_kv_store helper

ggml-ci

* llama : remove obsolete offload names

* llama : fix llm_build_k_shift to use n_head_kv instead of n_head

* llama : simplify falcon Q, K, V computation

* llama : remove obsolete comments in build graphs

* llama : add llm_build_kqv helper

ggml-ci

* llama : minor

* llama : add LLAMA_OFFLOAD_DEBUG + fix starcoder offloading

* llama : fix input allocation logic

* llama : update offload functions for KQ tensors

* llama : normalize tensor names

ggml-ci

* llama : enable warning about not offloaded tensors

* llama : remove extra ; + deduplicate gate_b logic

* llama : add llm_build_inp_embd helper
 2023-11-01 08:04:02 +02:00
kalomaze
238657db23
samplers : Min-P sampler implementation [alternative to Top P/Top K] (#3841) 
* Introduce the new Min-P sampler by @kalomaze
   The Min-P sampling method was designed as an alternative to Top-P, and aims to ensure a balance of quality and variety. The parameter *p* represents the minimum probability for a token to be considered, relative to the probability of the most likely token.

* Min-P enabled and set to 0.05 default

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
Co-authored-by: cebtenzzre <cebtenzzre@gmail.com>
 2023-10-31 20:44:49 +01:00
Tungsten842
07178c98e1
flake.nix: fix for rocm 5.7 (#3853) 2023-10-31 19:24:03 +02:00
Georgi Gerganov
207b51900e
ggml : move FP16 <-> FP32 code to ggml-impl.h (#3861) 
* ggml : move FP16 <-> FP32 stuff to ggml-impl.h

ggml-ci

* tests : fix ARM build

* ggml : explicitly initialize deprecated type traits

* ggml : add math.h to ggml-impl.h

* ggml : remove duplicate static assert macros

* ggml : prefix lookup tables with ggml_

ggml-ci

* ggml-impl : move extern "C" to start of file
 2023-10-30 19:19:15 +02:00
Kerfuffle
6e08281e58
Extend llama_kv_cache_seq_rm to allow matching any sequence (#3843) 
* Extend llama_kv_cache_seq_rm to allow matichng any sequence

* Replace llama_kv_cache_tokens_rm with llama_kv_cache_clear

Use llama_kv_cache_clear for cache clearing

Change calls to llama_kv_cache_tokens_rm that want to delete by position to use llama_kv_cache_seq_rm functionality
 2023-10-29 11:31:40 -06:00
cebtenzzre
2046eb4345
make : remove unnecessary dependency on build-info.h (#3842) 2023-10-29 18:33:47 +02:00
Georgi Gerganov
71a09da301
llama : fix kv shift bug (#3835) 
ggml-ci
 2023-10-29 18:32:51 +02:00
Georgi Gerganov
d69d777c02
ggml : quantization refactoring (#3833) 
* ggml : factor all quantization code in ggml-quants

ggml-ci

* ggml-quants : fix Zig and Swift builds + quantize tool

ggml-ci

* quantize : --pure option for disabling k-quant mixtures

---------

Co-authored-by: cebtenzzre <cebtenzzre@gmail.com>
 2023-10-29 18:32:28 +02:00
Erik Scholz
ff3bad83e2
flake : update flake.lock for newer transformers version + provide extra dev shell (#3797) 
* flake : update flake.lock for newer transformers version + provide extra dev shell with torch and transformers (for most convert-xxx.py scripts)
 2023-10-28 16:41:07 +02:00
Aarni Koskela
82a6646e02
metal : try cwd for ggml-metal.metal if bundle lookup fails (#3793) 
* Try cwd for ggml-metal if bundle lookup fails

When building with `-DBUILD_SHARED_LIBS=ON -DLLAMA_METAL=ON -DLLAMA_BUILD_SERVER=ON`,
`server` would fail to load `ggml-metal.metal` because `[bundle pathForResource:...]`
returns `nil`.  In that case, fall back to `ggml-metal.metal` in the cwd instead of
passing `null` as a path.

Follows up on #1782

* Update ggml-metal.m

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
 2023-10-28 15:43:01 +03:00
Georgi Gerganov
ba231e8a6d
issues : change label from bug to bug-unconfirmed (#3748) 2023-10-28 15:35:26 +03:00
Georgi Gerganov
8a2f2fea29
convert : ignore tokens if their IDs are within [0, vocab_size) (#3831) 2023-10-28 06:25:15 -06:00
Kerfuffle
bd6d9e2059
llama : allow quantizing k-quants to fall back when tensor size incompatible (#3747) 
* Allow quantizing k-quants to fall back when tensor size incompatible

* quantizing: Add warning when tensors were incompatible with k-quants

Clean up k-quants state passing a bit
 2023-10-28 14:54:24 +03:00
Georgi Gerganov
ee1a0ec9cb
llama : add option for greedy sampling with probs (#3813) 
* llama : add option for greedy sampling with probs

* llama : add comment about llama_sample_token_greedy() missing probs

* sampling : temp == 0.0 -> no probs, temp < 0.0 -> probs
 2023-10-28 14:23:11 +03:00
Henk Poley
177461104b
common : print that one line of the syntax help *also* to standard output (#3823) 2023-10-28 13:16:33 +03:00
Georgi Gerganov
fdee152e4e
starcoder : add GPU offloading (#3827) 
* starcoder : do not GPU split 1D bias tensors

* starcoder : offload layers to GPU

ggml-ci
 2023-10-28 12:06:08 +03:00
Kerfuffle
41aee4df82
speculative : ensure draft and target model vocab matches (#3812) 
* speculative: Ensure draft and target model vocab matches

* Tolerate small differences when checking dft vs tgt vocab
 2023-10-28 00:40:07 +03:00
cebtenzzre
6d459cbfbe
llama : correctly report GGUFv3 format (#3818) 2023-10-27 17:33:53 -04:00
Thibault Terrasson
c8d6a1f34a
simple : fix batch handling (#3803) 2023-10-27 08:37:41 -06:00