I am trying to push a container for the new granite-speech-5.0-470m-turboctc model to the Replicate (r8.im) registry but am getting a docker push error I cannot figure out. I am cog logged in. I have cleared the local docker cache and used cog push. The container builds fine but the push fails with
✗ error during image push: unknown blob
The code to build the container is at https://github.com/bjhargrave/cog-models/tree/granite-speech-5.0-470m-turboctc/ibm-granite/granite-speech-5.0-470m-turboctc
Here is the command line output from the cog push command:
➜ granite-speech-5.0-470m-turboctc env:(.venv) git:(granite-speech-5.0-470m-turboctc) docker system prune -a
WARNING! This will remove:
- all stopped containers
- all networks not used by at least one container
- all images without at least one container associated to them
- all build cache
Are you sure you want to continue? [y/N] y
Deleted Images:
deleted: sha256:0a05b93029b5a51e1685858af0396a01aaa606ff9e136685c2cf67e41aac5751
untagged: r8.im/ibm-granite/granite-speech-5.0-470m-turboctc:latest
deleted: sha256:77ecc263bcd12167af50c205da98718e8754659351f8fcd9870679646027be4f
Deleted build cache objects:
v8n3wxfy7wlc4gvnvdsqfnh2c
w6nvhssm705f0ayo6eoj2o5pf
y3tkzuuvfjsbqc50c8fz528jq
p14ospgxyhrxrla5vk4tfd56j
s72o3brswx5jjrr4kfdjts1uy
drz74a8iail60cw2m4cvvcstn
p9nxec3ed311cyhnlcps4eigz
gaim8tqrqbtww97wl3pk6ixd8
x2u4c9os97qb3yy51ncvhh1gf
ohbte2m8hu9kovmpd91ub2z7j
cpfv1cu20acdxy4ig75cqd069
mqo56n2839foujbj9eiz2sgl7
l3t8m8li5bhg8tdwha6mr95wi
jez61f7vw3yruip4chbb9h5up
naaf5nwjvn9n5iwfovbl97fsm
wtt51kzjvnjmf7mbdswg71aml
pwmq5yjkntv0kh9uy190k21xk
ydjzbwcujgosl0ziazs2o2e5m
xl23i5utxyvb0fm81qvo9hocg
z0if4zurss3803hm8wow4gk8u
j31ycbe2gyrg8oefsrmb8b0rj
pdo2z44bymplhlfbwobvd47eq
w2r2g0gi8uytyv4ztgw1kydfu
njezezbxtibprrdi9yv7k9zz9
gw5d2x6h3dxwk1vh50024y5un
qtb2i633uzpyfr49m2njs2ydi
dbe7smbcvcvnhbnz3zfbgjxsm
em9pu8l2gwfk6zlm2as6v3uma
2gk8mm656qhl5a596thg43qfc
9c6v38v2p6n1mv3uwb2l8jzm3
5vut2y27ptv48gugrldvdzt8c
zo3lpcigdmjxqsojwwntc1j06
kjrkehpoy1mzh83fo5ya91whs
4iq1fu8sx57lphl1hq9y5biqa
z4jv00vxg0fqkt1wu9am1l7yg
jdfa4bvi1qekg7rckm6bedby4
redluahhpjc693o5jlolku5t3
g625d90ctd8kbgshzggwf96xt
zoscpavzbt14np4g32ssfwg61
pq7x9mgung5ku3d5lginzy1vh
Total reclaimed space: 17.89GB
➜ granite-speech-5.0-470m-turboctc env:(.venv) git:(granite-speech-5.0-470m-turboctc) docker ps
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
➜ granite-speech-5.0-470m-turboctc env:(.venv) git:(granite-speech-5.0-470m-turboctc) docker images
i Info → U In Use
IMAGE ID DISK USAGE CONTENT SIZE EXTRA
➜ granite-speech-5.0-470m-turboctc env:(.venv) git:(granite-speech-5.0-470m-turboctc) cog-0.21.0 push r8.im/ibm-granite/granite-speech-5.0-470m-turboctc --progress=plain --use-cog-base-image
⚙ Building Docker image from environment in cog.yaml as r8.im/ibm-granite/granite-speech-5.0-470m-turboctc...
#1 [internal] load build definition from Dockerfile
#1 transferring dockerfile: 815B done
#1 DONE 0.0s
#2 resolve image config for docker-image://docker.io/docker/dockerfile:1.4
#2 DONE 0.3s
#3 docker-image://docker.io/docker/dockerfile:1.4@sha256:9ba7531bd80fb0a858632727cf7a112fbfd19b17e94c4e84ced81e24ef1a0dbc
#3 resolve docker.io/docker/dockerfile:1.4@sha256:9ba7531bd80fb0a858632727cf7a112fbfd19b17e94c4e84ced81e24ef1a0dbc done
#3 extracting sha256:1328b32c40fca9bcf9d70d8eccb72eb873d1124d72dadce04db8badbe7b08546
#3 sha256:9ba7531bd80fb0a858632727cf7a112fbfd19b17e94c4e84ced81e24ef1a0dbc 2.00kB / 2.00kB done
#3 sha256:ad87fb03593d1b71f9a1cfc1406c4aafcb253b1dabebf569768d6e6166836f34 528B / 528B done
#3 sha256:1e8a16826fd1c80a63fa6817a9c7284c94e40cded14a9b0d0d3722356efa47bd 2.37kB / 2.37kB done
#3 sha256:1328b32c40fca9bcf9d70d8eccb72eb873d1124d72dadce04db8badbe7b08546 9.94MB / 9.94MB 0.0s done
#3 extracting sha256:1328b32c40fca9bcf9d70d8eccb72eb873d1124d72dadce04db8badbe7b08546 0.1s done
#3 DONE 0.1s
#4 [internal] load .dockerignore
#4 transferring context: 545B done
#4 DONE 0.0s
#5 [internal] load metadata for r8.im/cog-base:cuda12.8-python3.13
#5 ...
#6 [internal] load metadata for ghcr.io/astral-sh/uv:0.9.26
#6 DONE 0.2s
#5 [internal] load metadata for r8.im/cog-base:cuda12.8-python3.13
#5 DONE 1.6s
#7 [stage-0 1/6] FROM r8.im/cog-base:cuda12.8-python3.13@sha256:62c9070371d6927e080f80057273ceb7a99d28e50f4dab581153604aa0d8b8ce
#7 resolve r8.im/cog-base:cuda12.8-python3.13@sha256:62c9070371d6927e080f80057273ceb7a99d28e50f4dab581153604aa0d8b8ce 0.0s done
#7 sha256:c14abd3079593b90cfe65cea085fae220377a67f4b97fbe1116fbf71f51a3606 0B / 6.95MB 0.2s
#7 sha256:32f3aa26a63ba0678eb81f7c0699e46cd138f5962fcbcbb5cecc167159d83b80 5.27kB / 5.27kB done
#7 sha256:dfffd3a9a8fbf3c7cd78903f983752287fd94daa565055727b5e2de6c96ac06c 0B / 64.29MB 0.2s
#7 sha256:62c9070371d6927e080f80057273ceb7a99d28e50f4dab581153604aa0d8b8ce 856B / 856B done
#7 sha256:d8beaa9745d6317b9444985e0c96187b5eae40144c5397e55f46ea1874f8f287 24.96kB / 24.96kB done
#7 sha256:f178ea67fcbaacd61173aabe573030d847eb3e8d972e2ce503588a129981c50c 0B / 30.61MB 0.2s
#7 sha256:c14abd3079593b90cfe65cea085fae220377a67f4b97fbe1116fbf71f51a3606 6.95MB / 6.95MB 0.8s done
#7 sha256:dfffd3a9a8fbf3c7cd78903f983752287fd94daa565055727b5e2de6c96ac06c 12.58MB / 64.29MB 0.8s
#7 sha256:f178ea67fcbaacd61173aabe573030d847eb3e8d972e2ce503588a129981c50c 12.58MB / 30.61MB 0.8s
#7 sha256:a2701fd0ddde0c41b1d4563aadd3fca98c1c66f2939eaa94877f60c35a89819d 0B / 181B 0.8s
#7 sha256:dfffd3a9a8fbf3c7cd78903f983752287fd94daa565055727b5e2de6c96ac06c 31.46MB / 64.29MB 0.9s
#7 sha256:dfffd3a9a8fbf3c7cd78903f983752287fd94daa565055727b5e2de6c96ac06c 55.57MB / 64.29MB 1.0s
#7 extracting sha256:f178ea67fcbaacd61173aabe573030d847eb3e8d972e2ce503588a129981c50c
#7 sha256:dfffd3a9a8fbf3c7cd78903f983752287fd94daa565055727b5e2de6c96ac06c 64.29MB / 64.29MB 1.1s done
#7 sha256:f178ea67fcbaacd61173aabe573030d847eb3e8d972e2ce503588a129981c50c 30.61MB / 30.61MB 0.9s done
#7 sha256:4738f81f33f0894fbaca5e0b51628bb62ef0c45efcd36c3e3af4e69e5a59f8be 0B / 6.88kB 1.1s
#7 sha256:db3b5fd309810591f191d2864e54e7cea79c5eb3fdb738d0d1547e78af79f6de 0B / 2.06GB 1.2s
#7 sha256:a2701fd0ddde0c41b1d4563aadd3fca98c1c66f2939eaa94877f60c35a89819d 181B / 181B 1.2s done
#7 sha256:4738f81f33f0894fbaca5e0b51628bb62ef0c45efcd36c3e3af4e69e5a59f8be 6.88kB / 6.88kB 1.3s done
#7 sha256:3b2f83dd7123e3c40d832bb99914282c31399f78725b61bc463dbef045525fc0 0B / 59.60kB 1.3s
#7 sha256:402538bc3f00f70441f4d416addf0cb80b4c86e7626032e9d8c36ebdc69cfcaa 0B / 1.68kB 1.3s
#7 extracting sha256:f178ea67fcbaacd61173aabe573030d847eb3e8d972e2ce503588a129981c50c 0.7s done
#7 sha256:3b2f83dd7123e3c40d832bb99914282c31399f78725b61bc463dbef045525fc0 59.60kB / 59.60kB 1.6s done
#7 sha256:402538bc3f00f70441f4d416addf0cb80b4c86e7626032e9d8c36ebdc69cfcaa 1.68kB / 1.68kB 1.6s done
#7 sha256:9c069ced2869d98b7c7ff90c0f223b9585ee7d338aa4448802172696ef88bf41 0B / 1.52kB 1.7s
#7 sha256:651f0371f13b20175fbf935a6064b38e665d2ee4d3ac4a2130fcc534eed7586a 0B / 3.00GB 1.7s
#7 extracting sha256:c14abd3079593b90cfe65cea085fae220377a67f4b97fbe1116fbf71f51a3606
#7 sha256:9c069ced2869d98b7c7ff90c0f223b9585ee7d338aa4448802172696ef88bf41 1.52kB / 1.52kB 1.9s
#7 extracting sha256:c14abd3079593b90cfe65cea085fae220377a67f4b97fbe1116fbf71f51a3606 0.1s done
#7 extracting sha256:dfffd3a9a8fbf3c7cd78903f983752287fd94daa565055727b5e2de6c96ac06c
#7 sha256:9c069ced2869d98b7c7ff90c0f223b9585ee7d338aa4448802172696ef88bf41 1.52kB / 1.52kB 1.9s done
#7 sha256:ddd152fa48e4e09500661962f14ad9b57734a54886b0c74f8f3301b9f396af7c 0B / 89.50kB 2.0s
#7 sha256:ddd152fa48e4e09500661962f14ad9b57734a54886b0c74f8f3301b9f396af7c 89.50kB / 89.50kB 2.3s done
#7 sha256:b5ff1cd68b49ffbc266d10504a9d96609da0e6b2afcbd5bd053536b52906df11 0B / 703.56MB 2.3s
#7 sha256:db3b5fd309810591f191d2864e54e7cea79c5eb3fdb738d0d1547e78af79f6de 106.95MB / 2.06GB 2.5s
#7 extracting sha256:dfffd3a9a8fbf3c7cd78903f983752287fd94daa565055727b5e2de6c96ac06c 0.7s done
#7 extracting sha256:a2701fd0ddde0c41b1d4563aadd3fca98c1c66f2939eaa94877f60c35a89819d done
#7 extracting sha256:4738f81f33f0894fbaca5e0b51628bb62ef0c45efcd36c3e3af4e69e5a59f8be done
#7 sha256:db3b5fd309810591f191d2864e54e7cea79c5eb3fdb738d0d1547e78af79f6de 216.01MB / 2.06GB 3.0s
#7 ...
#8 [internal] load build context
#8 transferring context: 949.24MB 3.3s done
#8 DONE 3.3s
#7 [stage-0 1/6] FROM r8.im/cog-base:cuda12.8-python3.13@sha256:62c9070371d6927e080f80057273ceb7a99d28e50f4dab581153604aa0d8b8ce
#7 sha256:651f0371f13b20175fbf935a6064b38e665d2ee4d3ac4a2130fcc534eed7586a 165.68MB / 3.00GB 3.3s
#7 sha256:b5ff1cd68b49ffbc266d10504a9d96609da0e6b2afcbd5bd053536b52906df11 37.75MB / 703.56MB 3.3s
#7 sha256:b5ff1cd68b49ffbc266d10504a9d96609da0e6b2afcbd5bd053536b52906df11 78.64MB / 703.56MB 3.5s
#7 sha256:db3b5fd309810591f191d2864e54e7cea79c5eb3fdb738d0d1547e78af79f6de 334.50MB / 2.06GB 3.8s
#7 sha256:651f0371f13b20175fbf935a6064b38e665d2ee4d3ac4a2130fcc534eed7586a 320.86MB / 3.00GB 4.1s
#7 sha256:b5ff1cd68b49ffbc266d10504a9d96609da0e6b2afcbd5bd053536b52906df11 150.99MB / 703.56MB 4.1s
#7 sha256:db3b5fd309810591f191d2864e54e7cea79c5eb3fdb738d0d1547e78af79f6de 468.71MB / 2.06GB 4.5s
#7 sha256:b5ff1cd68b49ffbc266d10504a9d96609da0e6b2afcbd5bd053536b52906df11 209.72MB / 703.56MB 4.5s
#7 sha256:b5ff1cd68b49ffbc266d10504a9d96609da0e6b2afcbd5bd053536b52906df11 251.66MB / 703.56MB 4.7s
#7 sha256:651f0371f13b20175fbf935a6064b38e665d2ee4d3ac4a2130fcc534eed7586a 478.15MB / 3.00GB 5.1s
#7 sha256:b5ff1cd68b49ffbc266d10504a9d96609da0e6b2afcbd5bd053536b52906df11 337.64MB / 703.56MB 5.1s
#7 sha256:db3b5fd309810591f191d2864e54e7cea79c5eb3fdb738d0d1547e78af79f6de 587.20MB / 2.06GB 5.3s
#7 sha256:b5ff1cd68b49ffbc266d10504a9d96609da0e6b2afcbd5bd053536b52906df11 377.49MB / 703.56MB 5.3s
#7 sha256:b5ff1cd68b49ffbc266d10504a9d96609da0e6b2afcbd5bd053536b52906df11 428.87MB / 703.56MB 5.6s
#7 sha256:b5ff1cd68b49ffbc266d10504a9d96609da0e6b2afcbd5bd053536b52906df11 465.57MB / 703.56MB 5.8s
#7 sha256:db3b5fd309810591f191d2864e54e7cea79c5eb3fdb738d0d1547e78af79f6de 714.08MB / 2.06GB 6.0s
#7 sha256:651f0371f13b20175fbf935a6064b38e665d2ee4d3ac4a2130fcc534eed7586a 631.24MB / 3.00GB 6.2s
#7 sha256:b5ff1cd68b49ffbc266d10504a9d96609da0e6b2afcbd5bd053536b52906df11 526.39MB / 703.56MB 6.2s
#7 sha256:db3b5fd309810591f191d2864e54e7cea79c5eb3fdb738d0d1547e78af79f6de 836.76MB / 2.06GB 6.5s
#7 sha256:b5ff1cd68b49ffbc266d10504a9d96609da0e6b2afcbd5bd053536b52906df11 568.33MB / 703.56MB 6.9s
#7 sha256:b5ff1cd68b49ffbc266d10504a9d96609da0e6b2afcbd5bd053536b52906df11 620.76MB / 703.56MB 7.1s
#7 sha256:db3b5fd309810591f191d2864e54e7cea79c5eb3fdb738d0d1547e78af79f6de 968.88MB / 2.06GB 7.4s
#7 sha256:651f0371f13b20175fbf935a6064b38e665d2ee4d3ac4a2130fcc534eed7586a 806.35MB / 3.00GB 7.4s
#7 sha256:b5ff1cd68b49ffbc266d10504a9d96609da0e6b2afcbd5bd053536b52906df11 694.16MB / 703.56MB 7.7s
#7 sha256:db3b5fd309810591f191d2864e54e7cea79c5eb3fdb738d0d1547e78af79f6de 1.10GB / 2.06GB 8.0s
#7 sha256:b5ff1cd68b49ffbc266d10504a9d96609da0e6b2afcbd5bd053536b52906df11 703.56MB / 703.56MB 8.4s done
#7 sha256:437e475141ffcd68db602da5763c4a9800fe986a5ceedcd6e854bab2e6c35d3b 0B / 2.22MB 8.4s
#7 sha256:db3b5fd309810591f191d2864e54e7cea79c5eb3fdb738d0d1547e78af79f6de 1.24GB / 2.06GB 8.6s
#7 sha256:651f0371f13b20175fbf935a6064b38e665d2ee4d3ac4a2130fcc534eed7586a 1.00GB / 3.00GB 8.8s
#7 sha256:437e475141ffcd68db602da5763c4a9800fe986a5ceedcd6e854bab2e6c35d3b 2.22MB / 2.22MB 9.1s done
#7 sha256:feb98a0e05435a036a7057c7b8d6a531d9dd21be55fad8bbdcd16207d240fca0 0B / 556.12MB 9.3s
#7 sha256:db3b5fd309810591f191d2864e54e7cea79c5eb3fdb738d0d1547e78af79f6de 1.36GB / 2.06GB 9.4s
#7 sha256:651f0371f13b20175fbf935a6064b38e665d2ee4d3ac4a2130fcc534eed7586a 1.16GB / 3.00GB 9.7s
#7 sha256:db3b5fd309810591f191d2864e54e7cea79c5eb3fdb738d0d1547e78af79f6de 1.49GB / 2.06GB 9.9s
#7 ...
#9 FROM ghcr.io/astral-sh/uv:0.9.26@sha256:9a23023be68b2ed09750ae636228e903a54a05ea56ed03a934d00fe9fbeded4b
#9 resolve ghcr.io/astral-sh/uv:0.9.26@sha256:9a23023be68b2ed09750ae636228e903a54a05ea56ed03a934d00fe9fbeded4b 0.0s done
#9 sha256:9a23023be68b2ed09750ae636228e903a54a05ea56ed03a934d00fe9fbeded4b 2.19kB / 2.19kB done
#9 sha256:08a7428e3daeb4ff634fe06d3d9aec278579e88f770b5d141e5a408cb998f40a 669B / 669B done
#9 sha256:02338ef4d522b073c9469e1656cfa160407cb7160023300bb8622c9757778b13 1.30kB / 1.30kB done
#9 ...
#7 [stage-0 1/6] FROM r8.im/cog-base:cuda12.8-python3.13@sha256:62c9070371d6927e080f80057273ceb7a99d28e50f4dab581153604aa0d8b8ce
#7 sha256:feb98a0e05435a036a7057c7b8d6a531d9dd21be55fad8bbdcd16207d240fca0 41.94MB / 556.12MB 10.2s
#7 sha256:651f0371f13b20175fbf935a6064b38e665d2ee4d3ac4a2130fcc534eed7586a 1.36GB / 3.00GB 10.5s
#7 sha256:feb98a0e05435a036a7057c7b8d6a531d9dd21be55fad8bbdcd16207d240fca0 77.59MB / 556.12MB 10.5s
#7 sha256:db3b5fd309810591f191d2864e54e7cea79c5eb3fdb738d0d1547e78af79f6de 1.62GB / 2.06GB 10.6s
#7 sha256:feb98a0e05435a036a7057c7b8d6a531d9dd21be55fad8bbdcd16207d240fca0 124.78MB / 556.12MB 10.8s
#7 sha256:db3b5fd309810591f191d2864e54e7cea79c5eb3fdb738d0d1547e78af79f6de 1.75GB / 2.06GB 11.1s
#7 sha256:feb98a0e05435a036a7057c7b8d6a531d9dd21be55fad8bbdcd16207d240fca0 181.40MB / 556.12MB 11.1s
#7 sha256:651f0371f13b20175fbf935a6064b38e665d2ee4d3ac4a2130fcc534eed7586a 1.52GB / 3.00GB 11.3s
#7 sha256:feb98a0e05435a036a7057c7b8d6a531d9dd21be55fad8bbdcd16207d240fca0 231.74MB / 556.12MB 11.3s
#7 sha256:feb98a0e05435a036a7057c7b8d6a531d9dd21be55fad8bbdcd16207d240fca0 279.97MB / 556.12MB 11.5s
#7 sha256:db3b5fd309810591f191d2864e54e7cea79c5eb3fdb738d0d1547e78af79f6de 1.86GB / 2.06GB 11.6s
#7 sha256:feb98a0e05435a036a7057c7b8d6a531d9dd21be55fad8bbdcd16207d240fca0 331.35MB / 556.12MB 11.7s
#7 sha256:feb98a0e05435a036a7057c7b8d6a531d9dd21be55fad8bbdcd16207d240fca0 377.49MB / 556.12MB 12.0s
#7 sha256:db3b5fd309810591f191d2864e54e7cea79c5eb3fdb738d0d1547e78af79f6de 1.97GB / 2.06GB 12.1s
#7 sha256:651f0371f13b20175fbf935a6064b38e665d2ee4d3ac4a2130fcc534eed7586a 1.68GB / 3.00GB 12.1s
#7 sha256:feb98a0e05435a036a7057c7b8d6a531d9dd21be55fad8bbdcd16207d240fca0 416.28MB / 556.12MB 12.2s
#7 sha256:feb98a0e05435a036a7057c7b8d6a531d9dd21be55fad8bbdcd16207d240fca0 484.44MB / 556.12MB 12.5s
#7 sha256:feb98a0e05435a036a7057c7b8d6a531d9dd21be55fad8bbdcd16207d240fca0 535.82MB / 556.12MB 12.7s
#7 sha256:651f0371f13b20175fbf935a6064b38e665d2ee4d3ac4a2130fcc534eed7586a 1.86GB / 3.00GB 12.9s
#7 sha256:651f0371f13b20175fbf935a6064b38e665d2ee4d3ac4a2130fcc534eed7586a 2.04GB / 3.00GB 13.9s
#7 sha256:feb98a0e05435a036a7057c7b8d6a531d9dd21be55fad8bbdcd16207d240fca0 556.12MB / 556.12MB 14.1s done
#7 sha256:651f0371f13b20175fbf935a6064b38e665d2ee4d3ac4a2130fcc534eed7586a 2.22GB / 3.00GB 14.6s
#7 sha256:db3b5fd309810591f191d2864e54e7cea79c5eb3fdb738d0d1547e78af79f6de 2.06GB / 2.06GB 14.6s done
#7 extracting sha256:db3b5fd309810591f191d2864e54e7cea79c5eb3fdb738d0d1547e78af79f6de 0.1s
#7 sha256:45ddf7dea87ec62d90f745a10fce5acf0a17da27c0aa047536c4a07bc94125cd 0B / 135.22MB 14.7s
#7 sha256:8a4b9a9b97aa23ecc5b21c07009ccc1ba44ed5ca8ffa4b2fcb86c680e4cacb20 0B / 85.03MB 14.7s
#7 sha256:8a4b9a9b97aa23ecc5b21c07009ccc1ba44ed5ca8ffa4b2fcb86c680e4cacb20 10.49MB / 85.03MB 15.3s
#7 sha256:45ddf7dea87ec62d90f745a10fce5acf0a17da27c0aa047536c4a07bc94125cd 29.36MB / 135.22MB 15.4s
#7 sha256:651f0371f13b20175fbf935a6064b38e665d2ee4d3ac4a2130fcc534eed7586a 2.39GB / 3.00GB 15.5s
#7 sha256:45ddf7dea87ec62d90f745a10fce5acf0a17da27c0aa047536c4a07bc94125cd 46.14MB / 135.22MB 15.5s
#7 sha256:8a4b9a9b97aa23ecc5b21c07009ccc1ba44ed5ca8ffa4b2fcb86c680e4cacb20 35.65MB / 85.03MB 15.5s
#7 sha256:45ddf7dea87ec62d90f745a10fce5acf0a17da27c0aa047536c4a07bc94125cd 68.16MB / 135.22MB 15.6s
#7 sha256:8a4b9a9b97aa23ecc5b21c07009ccc1ba44ed5ca8ffa4b2fcb86c680e4cacb20 50.33MB / 85.03MB 15.6s
#7 sha256:45ddf7dea87ec62d90f745a10fce5acf0a17da27c0aa047536c4a07bc94125cd 80.74MB / 135.22MB 15.7s
#7 sha256:8a4b9a9b97aa23ecc5b21c07009ccc1ba44ed5ca8ffa4b2fcb86c680e4cacb20 60.82MB / 85.03MB 15.7s
#7 sha256:45ddf7dea87ec62d90f745a10fce5acf0a17da27c0aa047536c4a07bc94125cd 106.95MB / 135.22MB 15.8s
#7 sha256:45ddf7dea87ec62d90f745a10fce5acf0a17da27c0aa047536c4a07bc94125cd 123.73MB / 135.22MB 15.9s
#7 sha256:8a4b9a9b97aa23ecc5b21c07009ccc1ba44ed5ca8ffa4b2fcb86c680e4cacb20 70.25MB / 85.03MB 15.9s
#7 sha256:45ddf7dea87ec62d90f745a10fce5acf0a17da27c0aa047536c4a07bc94125cd 135.22MB / 135.22MB 16.0s
#7 sha256:8a4b9a9b97aa23ecc5b21c07009ccc1ba44ed5ca8ffa4b2fcb86c680e4cacb20 79.69MB / 85.03MB 16.0s
#7 sha256:8a4b9a9b97aa23ecc5b21c07009ccc1ba44ed5ca8ffa4b2fcb86c680e4cacb20 85.03MB / 85.03MB 16.1s
#7 sha256:45ddf7dea87ec62d90f745a10fce5acf0a17da27c0aa047536c4a07bc94125cd 135.22MB / 135.22MB 16.1s done
#7 sha256:8a4b9a9b97aa23ecc5b21c07009ccc1ba44ed5ca8ffa4b2fcb86c680e4cacb20 85.03MB / 85.03MB 16.1s done
#7 sha256:5df8e8bc3f7d631c279c39504128a83453c39f877a5e1471213f5928103c2f44 0B / 31.25kB 16.2s
#7 sha256:dfb54b67c219db6268fba640c13ecf73befc61e14ae65e08178502c42edb92bf 0B / 166B 16.2s
#7 sha256:651f0371f13b20175fbf935a6064b38e665d2ee4d3ac4a2130fcc534eed7586a 2.54GB / 3.00GB 16.6s
#7 sha256:dfb54b67c219db6268fba640c13ecf73befc61e14ae65e08178502c42edb92bf 166B / 166B 16.6s done
#7 sha256:5df8e8bc3f7d631c279c39504128a83453c39f877a5e1471213f5928103c2f44 31.25kB / 31.25kB 16.8s done
#7 ...
#9 FROM ghcr.io/astral-sh/uv:0.9.26@sha256:9a23023be68b2ed09750ae636228e903a54a05ea56ed03a934d00fe9fbeded4b
#9 sha256:5b10ebfb4e369f07b34982c85caaab98838a61ebb54e54946271f61d7cf1f8a6 23.02MB / 23.02MB 16.7s done
#9 extracting sha256:5b10ebfb4e369f07b34982c85caaab98838a61ebb54e54946271f61d7cf1f8a6 0.2s done
#9 sha256:b3d2c6abdae87c43a56d2830b783d600de9274bb8791534edac6e02d23667aa3 98B / 98B 16.7s done
#9 extracting sha256:b3d2c6abdae87c43a56d2830b783d600de9274bb8791534edac6e02d23667aa3 done
#9 DONE 17.0s
#7 [stage-0 1/6] FROM r8.im/cog-base:cuda12.8-python3.13@sha256:62c9070371d6927e080f80057273ceb7a99d28e50f4dab581153604aa0d8b8ce
#7 sha256:651f0371f13b20175fbf935a6064b38e665d2ee4d3ac4a2130fcc534eed7586a 2.70GB / 3.00GB 17.3s
#7 sha256:651f0371f13b20175fbf935a6064b38e665d2ee4d3ac4a2130fcc534eed7586a 2.86GB / 3.00GB 18.1s
#7 extracting sha256:db3b5fd309810591f191d2864e54e7cea79c5eb3fdb738d0d1547e78af79f6de 5.1s
#7 sha256:651f0371f13b20175fbf935a6064b38e665d2ee4d3ac4a2130fcc534eed7586a 3.00GB / 3.00GB 23.0s done
#7 extracting sha256:db3b5fd309810591f191d2864e54e7cea79c5eb3fdb738d0d1547e78af79f6de 10.1s
#7 extracting sha256:db3b5fd309810591f191d2864e54e7cea79c5eb3fdb738d0d1547e78af79f6de 13.3s done
#7 extracting sha256:3b2f83dd7123e3c40d832bb99914282c31399f78725b61bc463dbef045525fc0 done
#7 extracting sha256:402538bc3f00f70441f4d416addf0cb80b4c86e7626032e9d8c36ebdc69cfcaa
#7 extracting sha256:402538bc3f00f70441f4d416addf0cb80b4c86e7626032e9d8c36ebdc69cfcaa done
#7 extracting sha256:9c069ced2869d98b7c7ff90c0f223b9585ee7d338aa4448802172696ef88bf41 done
#7 extracting sha256:651f0371f13b20175fbf935a6064b38e665d2ee4d3ac4a2130fcc534eed7586a 0.1s
#7 extracting sha256:651f0371f13b20175fbf935a6064b38e665d2ee4d3ac4a2130fcc534eed7586a 5.2s
#7 extracting sha256:651f0371f13b20175fbf935a6064b38e665d2ee4d3ac4a2130fcc534eed7586a 10.2s
#7 extracting sha256:651f0371f13b20175fbf935a6064b38e665d2ee4d3ac4a2130fcc534eed7586a 15.2s
#7 extracting sha256:651f0371f13b20175fbf935a6064b38e665d2ee4d3ac4a2130fcc534eed7586a 20.3s
#7 extracting sha256:651f0371f13b20175fbf935a6064b38e665d2ee4d3ac4a2130fcc534eed7586a 22.2s done
#7 extracting sha256:ddd152fa48e4e09500661962f14ad9b57734a54886b0c74f8f3301b9f396af7c
#7 extracting sha256:ddd152fa48e4e09500661962f14ad9b57734a54886b0c74f8f3301b9f396af7c done
#7 extracting sha256:b5ff1cd68b49ffbc266d10504a9d96609da0e6b2afcbd5bd053536b52906df11 0.1s
#7 extracting sha256:b5ff1cd68b49ffbc266d10504a9d96609da0e6b2afcbd5bd053536b52906df11 4.6s done
#7 extracting sha256:437e475141ffcd68db602da5763c4a9800fe986a5ceedcd6e854bab2e6c35d3b 0.0s done
#7 extracting sha256:feb98a0e05435a036a7057c7b8d6a531d9dd21be55fad8bbdcd16207d240fca0
#7 extracting sha256:feb98a0e05435a036a7057c7b8d6a531d9dd21be55fad8bbdcd16207d240fca0 5.1s
#7 extracting sha256:feb98a0e05435a036a7057c7b8d6a531d9dd21be55fad8bbdcd16207d240fca0 9.2s done
#7 extracting sha256:8a4b9a9b97aa23ecc5b21c07009ccc1ba44ed5ca8ffa4b2fcb86c680e4cacb20
#7 extracting sha256:8a4b9a9b97aa23ecc5b21c07009ccc1ba44ed5ca8ffa4b2fcb86c680e4cacb20 0.9s done
#7 extracting sha256:45ddf7dea87ec62d90f745a10fce5acf0a17da27c0aa047536c4a07bc94125cd
#7 extracting sha256:45ddf7dea87ec62d90f745a10fce5acf0a17da27c0aa047536c4a07bc94125cd 2.7s done
#7 extracting sha256:dfb54b67c219db6268fba640c13ecf73befc61e14ae65e08178502c42edb92bf
#7 extracting sha256:dfb54b67c219db6268fba640c13ecf73befc61e14ae65e08178502c42edb92bf done
#7 extracting sha256:5df8e8bc3f7d631c279c39504128a83453c39f877a5e1471213f5928103c2f44 done
#7 DONE 69.0s
#10 [stage-0 2/6] COPY --from=ghcr.io/astral-sh/uv:0.9.26 /uv /uvx /usr/local/bin/
#10 DONE 5.7s
#11 [stage-0 3/6] RUN --mount=type=cache,target=/root/.cache/uv uv pip install --no-cache cog==0.21.0
#11 0.397 Using Python 3.13.0 environment at: /root/.pyenv/versions/3.13.0
#11 0.465 Resolved 10 packages in 62ms
#11 0.473 Downloading coglet (5.7MiB)
#11 0.546 Downloaded coglet
#11 0.550 Prepared 10 packages in 83ms
#11 0.577 Installed 10 packages in 26ms
#11 0.577 + certifi==2026.7.22
#11 0.577 + charset-normalizer==3.5.1
#11 0.577 + cog==0.21.0
#11 0.577 + coglet==0.22.0
#11 0.577 + idna==3.19
#11 0.577 + pyyaml==6.0.3
#11 0.577 + requests==2.34.2
#11 0.577 + structlog==26.1.0
#11 0.577 + typing-extensions==4.16.0
#11 0.577 + urllib3==2.7.0
#11 DONE 0.6s
#12 [stage-0 4/6] RUN --mount=type=cache,target=/root/.cache/uv --mount=type=bind,source=requirements.txt,target=/tmp/requirements.txt uv pip install --cache-dir /root/.cache/uv --requirements /tmp/requirements.txt --torch-backend=cu129 --link-mode=copy --compile-bytecode
#12 0.387 Using Python 3.13.0 environment at: /root/.pyenv/versions/3.13.0
#12 0.701 Resolved 65 packages in 311ms
#12 0.711 Downloading pygments (1.2MiB)
#12 0.713 Downloading soundfile (1.3MiB)
#12 0.716 Downloading triton (188.0MiB)
#12 0.718 Downloading sympy (6.0MiB)
#12 0.719 Downloading nvidia-nvjitlink-cu12 (37.9MiB)
#12 0.719 Downloading tokenizers (3.2MiB)
#12 0.719 Downloading hf-xet (4.3MiB)
#12 0.719 Downloading networkx (2.0MiB)
#12 0.719 Downloading numpy (15.9MiB)
#12 0.721 Downloading pydantic-core (2.0MiB)
#12 0.722 Downloading nvidia-nvshmem-cu12 (132.7MiB)
#12 0.722 Downloading nvidia-cufile-cu12 (1.2MiB)
#12 0.722 Downloading nvidia-cusparse-cu12 (349.5MiB)
#12 0.722 Downloading nvidia-cufft-cu12 (191.6MiB)
#12 0.723 Downloading nvidia-cusolver-cu12 (322.5MiB)
#12 0.723 Downloading nvidia-cublas-cu12 (554.3MiB)
#12 0.723 Downloading nvidia-cuda-cupti-cu12 (10.3MiB)
#12 0.723 Downloading nvidia-cuda-nvrtc-cu12 (85.4MiB)
#12 0.723 Downloading nvidia-cuda-runtime-cu12 (3.3MiB)
#12 0.724 Downloading cuda-bindings (7.1MiB)
#12 0.724 Downloading nvidia-curand-cu12 (65.1MiB)
#12 0.729 Downloading torch (886.5MiB)
#12 0.733 Downloading nvidia-cusparselt-cu12 (228.2MiB)
#12 0.733 Downloading nvidia-nccl-cu12 (280.0MiB)
#12 0.733 Downloading nvidia-cudnn-cu12 (627.4MiB)
#12 0.733 Downloading torchcodec (9.0MiB)
#12 0.734 Downloading transformers (11.5MiB)
#12 0.757 Downloading torchaudio (1.5MiB)
#12 1.747 Downloaded nvidia-cufile-cu12
#12 1.774 Downloaded soundfile
#12 1.886 Downloaded torchaudio
#12 2.583 Downloaded pydantic-core
#12 3.052 Downloaded tokenizers
#12 3.089 Downloaded pygments
#12 3.102 Downloaded nvidia-cuda-runtime-cu12
#12 3.478 Downloaded hf-xet
#12 3.778 Downloaded networkx
#12 4.019 Downloaded triton
#12 4.232 Downloaded cuda-bindings
#12 4.646 Downloaded nvidia-cuda-cupti-cu12
#12 4.697 Downloaded torchcodec
#12 5.687 Downloaded numpy
#12 7.003 Downloaded sympy
#12 7.162 Downloaded nvidia-nvjitlink-cu12
#12 9.155 Downloaded nvidia-curand-cu12
#12 10.57 Downloaded nvidia-cuda-nvrtc-cu12
#12 13.45 Downloaded nvidia-nvshmem-cu12
#12 16.00 Downloaded nvidia-cufft-cu12
#12 17.51 Downloaded nvidia-cusparselt-cu12
#12 19.38 Downloaded nvidia-nccl-cu12
#12 20.73 Downloaded nvidia-cusolver-cu12
#12 21.22 Downloaded nvidia-cusparse-cu12
#12 21.50 Downloaded transformers
#12 23.43 Downloaded nvidia-cublas-cu12
#12 23.57 Downloaded nvidia-cudnn-cu12
#12 31.60 Downloaded torch
#12 31.60 Prepared 61 packages in 30.89s
#12 32.58 Installed 61 packages in 982ms
#12 34.06 Bytecode compiled 9969 files in 1.47s
#12 34.06 + accelerate==1.14.0
#12 34.06 + annotated-doc==0.0.5
#12 34.06 + annotated-types==0.8.0
#12 34.06 + anyio==4.14.2
#12 34.06 + cffi==2.1.1
#12 34.06 + click==8.4.2
#12 34.06 + cuda-bindings==12.9.7
#12 34.06 + cuda-pathfinder==1.6.1
#12 34.06 + cuda-toolkit==12.9.1
#12 34.06 + filelock==3.32.3
#12 34.06 + fsspec==2026.7.0
#12 34.06 + h11==0.16.0
#12 34.06 + hf-xet==1.6.0
#12 34.06 + httpcore==1.0.9
#12 34.06 + httpx==0.28.1
#12 34.06 + huggingface-hub==1.28.0
#12 34.06 + jinja2==3.1.6
#12 34.06 + markdown-it-py==4.2.0
#12 34.06 + markupsafe==3.0.3
#12 34.06 + mdurl==0.1.2
#12 34.06 + mpmath==1.3.0
#12 34.06 + networkx==3.6.1
#12 34.06 + numpy==2.5.2
#12 34.06 + nvidia-cublas-cu12==12.9.1.4
#12 34.06 + nvidia-cuda-cupti-cu12==12.9.79
#12 34.06 + nvidia-cuda-nvrtc-cu12==12.9.86
#12 34.06 + nvidia-cuda-runtime-cu12==12.9.79
#12 34.06 + nvidia-cudnn-cu12==9.20.0.48
#12 34.06 + nvidia-cufft-cu12==11.4.1.4
#12 34.06 + nvidia-cufile-cu12==1.14.1.1
#12 34.06 + nvidia-curand-cu12==10.3.10.19
#12 34.06 + nvidia-cusolver-cu12==11.7.5.82
#12 34.06 + nvidia-cusparse-cu12==12.5.10.65
#12 34.06 + nvidia-cusparselt-cu12==0.8.1
#12 34.06 + nvidia-nccl-cu12==2.29.7
#12 34.06 + nvidia-nvjitlink-cu12==12.9.86
#12 34.06 + nvidia-nvshmem-cu12==3.4.5
#12 34.06 + nvidia-nvtx-cu12==12.9.79
#12 34.06 + packaging==26.3
#12 34.06 + psutil==7.2.2
#12 34.06 + pycparser==3.0
#12 34.06 + pydantic==2.13.4
#12 34.06 + pydantic-core==2.46.4
#12 34.06 + pygments==2.21.0
#12 34.06 + regex==2026.7.19
#12 34.06 + rich==15.0.0
#12 34.06 + safetensors==0.8.0
#12 34.06 + setuptools==84.0.0
#12 34.06 + shellingham==1.5.4
#12 34.06 + soundfile==0.14.0
#12 34.06 + soxr==1.1.0
#12 34.06 + sympy==1.14.0
#12 34.06 + tokenizers==0.23.1
#12 34.06 + torch==2.13.0+cu129
#12 34.06 + torchaudio==2.11.0+cu129
#12 34.06 + torchcodec==0.16.0
#12 34.06 + tqdm==4.70.0
#12 34.06 + transformers==5.16.0
#12 34.06 + triton==3.7.1
#12 34.06 + typer==0.27.1
#12 34.06 + typing-inspection==0.4.4
#12 DONE 46.7s
#13 [stage-0 5/6] WORKDIR /src
#13 DONE 0.0s
#14 [stage-0 6/6] COPY . /src
#14 DONE 1.1s
#15 exporting to image
#15 exporting layers
#15 exporting layers 14.9s done
#15 preparing layers for inline cache done
#15 writing image sha256:d1fa98b1b7ebe260dc474d48d98bd2df454c37a008143a32855308c4f89ab0b2 done
#15 naming to docker.io/library/cog-tmp:ef6ef3c18fdab485cd5ca57e3cbd738da145b77bb8f134e1cb32b9c44c0fdcdc done
#15 DONE 14.9s
⚙ Adding labels to image...
#1 [internal] load build definition from Dockerfile
#1 transferring dockerfile: 220B done
#1 DONE 0.0s
#2 [internal] load metadata for docker.io/library/cog-tmp:ef6ef3c18fdab485cd5ca57e3cbd738da145b77bb8f134e1cb32b9c44c0fdcdc
#2 DONE 0.0s
#3 [context cog_build] load .dockerignore
#3 transferring cog_build: 2B done
#3 DONE 0.0s
#4 [internal] load .dockerignore
#4 transferring context: done
#4 ERROR: rpc error: code = NotFound desc = rpc error: code = NotFound desc = no access allowed to dir "context"
#5 [context cog_build] load from client
#5 transferring cog_build: 3.33kB done
#5 DONE 0.0s
#6 [stage-0 1/2] FROM docker.io/library/cog-tmp:ef6ef3c18fdab485cd5ca57e3cbd738da145b77bb8f134e1cb32b9c44c0fdcdc
#6 DONE 0.1s
#7 [stage-0 2/2] COPY --from=cog_build openapi_schema.json .cog/
#7 DONE 0.0s
#8 exporting to image
#8 exporting layers 0.0s done
#8 preparing layers for inline cache done
#8 writing image sha256:5b32175fcba506c6ab16d3597147d65b5880484a54bcf853125af0b5419505ab done
#8 naming to r8.im/ibm-granite/granite-speech-5.0-470m-turboctc done
#8 DONE 0.0s
------
> [internal] load .dockerignore:
------
⚙ Pushing to r8.im/ibm-granite/granite-speech-5.0-470m-turboctc...
The push refers to repository [r8.im/ibm-granite/granite-speech-5.0-470m-turboctc]
18713e6cd2dd: Pushing [==================================================>] 6.144kB
10db995ab2c9: Pushing [> ] 11.07MB/949MB
53a6a6a95ed4: Pushing 1.536kB
5f17d73cd3ce: Pushing [> ] 21.71MB/7.571GB
8425a4688814: Pushing [==================================================>] 20.57MB
13fda60d7281: Waiting
190b694dff1b: Waiting
70cf3d0cb68f: Waiting
df887aa372af: Waiting
5e54723f4585: Waiting
d4de678d8894: Waiting
3bb83a0e685e: Waiting
bc506707b8c9: Waiting
41265b46e5e2: Waiting
79e6810963d8: Waiting
552b2b859388: Waiting
461cf6ba28a4: Waiting
413b33b39747: Waiting
b41c1343435e: Waiting
538b8d249fcb: Waiting
017e35e9817a: Waiting
1362a2b75cb8: Waiting
cbdb5b0f3ef3: Waiting
d84e0ca15fd6: Waiting
✗ error during image push: unknown blobI suspect there may be an issue on the r8.im registry side?
I am trying to push a container for the new
granite-speech-5.0-470m-turboctcmodel to the Replicate (r8.im) registry but am getting a docker push error I cannot figure out. I am cog logged in. I have cleared the local docker cache and used cog push. The container builds fine but the push fails withThe code to build the container is at https://github.com/bjhargrave/cog-models/tree/granite-speech-5.0-470m-turboctc/ibm-granite/granite-speech-5.0-470m-turboctc
Here is the command line output from the cog push command:
I suspect there may be an issue on the r8.im registry side?