Commits · Dovakiins/qwerrwe

update torch 2.2.1 -> 2.2.2 (#1622)

3319780
unverified

winglian commited on May 15, 2024

add torch 2.3.0 to builds (#1593)

7018576
unverified

winglian commited on May 5, 2024

fix for accelerate env var for auto bf16, add new base image and expand torch_cuda_arch_list support (#1413)

da265dd
unverified

winglian commited on Mar 26, 2024

deprecate: pytorch 2.0.1 image (#1315) [skip ci]

a359579
unverified

Nanobit commited on Feb 22, 2024

run the docker image builds and push on gh action gpu runners (#1218)

aaf54dc
unverified

winglian commited on Feb 9, 2024

drop py39 docker images, add py311, upgrade pytorch to 2.1.2 (#1205)

74c72ca
unverified

winglian commited on Jan 26, 2024

support for cuda 12.1 (#989)

37820f6
unverified

winglian commited on Dec 22, 2023

Dockerfile torch fix (#987)

161bcb6
unverified

winglian commited on Dec 21, 2023

add docker images for pytorch 2.10 (#697)

7f2618b
unverified

winglian commited on Oct 7, 2023

Prune cuda117 (#327)

2c37bf6
unverified

winglian commited on Jul 26, 2023

don't use the gha cache w docker

c5df969

winglian commited on Jul 22, 2023

use pytorch 2.0.1

c58034d

winglian commited on Jul 20, 2023

11.7.0 nvidia/cuda docker images are deprecated, move to 11.7.1

a10da1c

winglian commited on Jul 1, 2023

don't fail fast

d35278a

winglian commited on Jun 15, 2023

Fix base builder, missing tags

e0011fd

winglian commited on May 31, 2023

define python version (3.10) explicitly as string in yaml

c5b0af1

winglian commited on May 31, 2023

py310, fix cuda arg in deepspeed

c43c5c8

winglian commited on May 30, 2023

cleanup from pr feedback

48612f8

winglian commited on May 30, 2023

default to qlora support, make gptq specific image

6ef96f5

winglian commited on May 30, 2023

move CUDA_VERSION_BNB arg inside of stage build scope

e43bcc6

winglian commited on May 29, 2023

bnb fixes

21f17cc

winglian commited on May 29, 2023

update docker to compile latest bnb to properly support qlora

312b8d5

winglian commited on May 27, 2023

cuda, pytorch matrix for base builds

f950a88

winglian commited on May 21, 2023

docker layer caching, build w axolotl from base build

990bec6

winglian commited on May 7, 2023

build base separately

2734e3f

winglian commited on May 7, 2023

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qwerrwe

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Commit History

update torch 2.2.1 -> 2.2.2 (#1622)

3319780
unverified

add torch 2.3.0 to builds (#1593)

7018576
unverified

fix for accelerate env var for auto bf16, add new base image and expand torch_cuda_arch_list support (#1413)

da265dd
unverified

deprecate: pytorch 2.0.1 image (#1315) [skip ci]

a359579
unverified

run the docker image builds and push on gh action gpu runners (#1218)

aaf54dc
unverified

drop py39 docker images, add py311, upgrade pytorch to 2.1.2 (#1205)

74c72ca
unverified

support for cuda 12.1 (#989)

37820f6
unverified

Dockerfile torch fix (#987)

161bcb6
unverified

add docker images for pytorch 2.10 (#697)

7f2618b
unverified

Prune cuda117 (#327)

2c37bf6
unverified

don't use the gha cache w docker

c5df969

use pytorch 2.0.1

c58034d

11.7.0 nvidia/cuda docker images are deprecated, move to 11.7.1

a10da1c

don't fail fast

d35278a

Fix base builder, missing tags

e0011fd

define python version (3.10) explicitly as string in yaml

c5b0af1

py310, fix cuda arg in deepspeed

c43c5c8

cleanup from pr feedback

48612f8

default to qlora support, make gptq specific image

6ef96f5

move CUDA_VERSION_BNB arg inside of stage build scope

e43bcc6

bnb fixes

21f17cc

update docker to compile latest bnb to properly support qlora

312b8d5

cuda, pytorch matrix for base builds

f950a88

docker layer caching, build w axolotl from base build

990bec6

build base separately

2734e3f

Commit History

update torch 2.2.1 -> 2.2.2 (#1622) 3319780 unverified

add torch 2.3.0 to builds (#1593) 7018576 unverified

fix for accelerate env var for auto bf16, add new base image and expand torch_cuda_arch_list support (#1413) da265dd unverified

deprecate: pytorch 2.0.1 image (#1315) [skip ci] a359579 unverified

run the docker image builds and push on gh action gpu runners (#1218) aaf54dc unverified

drop py39 docker images, add py311, upgrade pytorch to 2.1.2 (#1205) 74c72ca unverified

support for cuda 12.1 (#989) 37820f6 unverified

Dockerfile torch fix (#987) 161bcb6 unverified

add docker images for pytorch 2.10 (#697) 7f2618b unverified

Prune cuda117 (#327) 2c37bf6 unverified

don't use the gha cache w docker c5df969

use pytorch 2.0.1 c58034d

11.7.0 nvidia/cuda docker images are deprecated, move to 11.7.1 a10da1c

don't fail fast d35278a

Fix base builder, missing tags e0011fd

define python version (3.10) explicitly as string in yaml c5b0af1

py310, fix cuda arg in deepspeed c43c5c8

cleanup from pr feedback 48612f8

default to qlora support, make gptq specific image 6ef96f5

move CUDA_VERSION_BNB arg inside of stage build scope e43bcc6

bnb fixes 21f17cc

update docker to compile latest bnb to properly support qlora 312b8d5

cuda, pytorch matrix for base builds f950a88

docker layer caching, build w axolotl from base build 990bec6

build base separately 2734e3f

update torch 2.2.1 -> 2.2.2 (#1622)

3319780
unverified

add torch 2.3.0 to builds (#1593)

7018576
unverified

fix for accelerate env var for auto bf16, add new base image and expand torch_cuda_arch_list support (#1413)

da265dd
unverified

deprecate: pytorch 2.0.1 image (#1315) [skip ci]

a359579
unverified

run the docker image builds and push on gh action gpu runners (#1218)

aaf54dc
unverified

drop py39 docker images, add py311, upgrade pytorch to 2.1.2 (#1205)

74c72ca
unverified

support for cuda 12.1 (#989)

37820f6
unverified

Dockerfile torch fix (#987)

161bcb6
unverified

add docker images for pytorch 2.10 (#697)

7f2618b
unverified

Prune cuda117 (#327)

2c37bf6
unverified

don't use the gha cache w docker

c5df969

use pytorch 2.0.1

c58034d

11.7.0 nvidia/cuda docker images are deprecated, move to 11.7.1

a10da1c

don't fail fast

d35278a

Fix base builder, missing tags

e0011fd

define python version (3.10) explicitly as string in yaml

c5b0af1

py310, fix cuda arg in deepspeed

c43c5c8

cleanup from pr feedback

48612f8

default to qlora support, make gptq specific image

6ef96f5

move CUDA_VERSION_BNB arg inside of stage build scope

e43bcc6

bnb fixes

21f17cc

update docker to compile latest bnb to properly support qlora

312b8d5

cuda, pytorch matrix for base builds

f950a88

docker layer caching, build w axolotl from base build

990bec6

build base separately

2734e3f