Text Generation
Transformers
Safetensors
Korean
English
aether_v2_7way
foundation-model
sovereign-ai
fully-open
open-source
mixture-of-experts
Mixture of Experts
heterogeneous-attention
latin-square
from-scratch
reproducible
pretrained
korean
vidraft
aether
conversational
custom_code
Instructions to use FINAL-Bench/Aether-7B-5Attn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FINAL-Bench/Aether-7B-5Attn with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="FINAL-Bench/Aether-7B-5Attn", trust_remote_code=True) messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("FINAL-Bench/Aether-7B-5Attn", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use FINAL-Bench/Aether-7B-5Attn with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "FINAL-Bench/Aether-7B-5Attn" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "FINAL-Bench/Aether-7B-5Attn", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/FINAL-Bench/Aether-7B-5Attn
- SGLang
How to use FINAL-Bench/Aether-7B-5Attn with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "FINAL-Bench/Aether-7B-5Attn" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "FINAL-Bench/Aether-7B-5Attn", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "FINAL-Bench/Aether-7B-5Attn" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "FINAL-Bench/Aether-7B-5Attn", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use FINAL-Bench/Aether-7B-5Attn with Docker Model Runner:
docker model run hf.co/FINAL-Bench/Aether-7B-5Attn
sanitize: internal paths/ids/comments
Browse files- logs/launcher_v2b_multi.log +24 -24
logs/launcher_v2b_multi.log
CHANGED
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[2026-06-15 15:55:17][r2263068] ====================================================================
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[2026-06-15 15:55:17][r2263068] AETHER-2B-7Attn Phase 1.6 v2b β Continued Pretraining
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[2026-06-15 15:55:17][r2263068] AETHER-2B-7Attn Phase 1.6 v2b β Continued Pretraining
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[2026-06-15 15:55:17][r2263068] resume ckpt : /
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[2026-06-15 15:55:17][r2263068] resume ckpt : /
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[2026-06-15 15:55:17][r2263068] output : /
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[2026-06-15 15:55:17][r2263068] output : /
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[2026-06-15 15:55:17][r2263068] log : /
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[2026-06-15 15:55:17][r2263068] log : /
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[2026-06-15 15:55:17][r2263068] world_size : 16
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[2026-06-15 15:55:17][r2263068] world_size : 16
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[2026-06-15 15:55:17][r2263068] LR : 5e-05 β 5e-06 warmup=0
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@@ -108,8 +108,8 @@ AETHERV27wayForCausalLM has generative capabilities, as `prepare_inputs_for_gene
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[2026-06-15 16:01:00][r2263068] [3/5] Building optimizer (AdamW + LWD)...
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[2026-06-15 16:01:00][r2263068] param groups: 2
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[2026-06-15 16:01:00][r2263068] param groups: 2
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[2026-06-15 16:01:00][r2263068] [4/5] Loading DCP checkpoint: /
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[2026-06-15 16:01:00][r2263068] [4/5] Loading DCP checkpoint: /
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/usr/local/lib/python3.12/dist-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py:680: FutureWarning: FSDP.state_dict_type() and FSDP.set_state_dict_type() are being deprecated. Please use APIs, get_state_dict() and set_state_dict(), which can support different parallelisms, FSDP1, FSDP2, DDP. API doc: https://pytorch.org/docs/stable/distributed.checkpoint.html#torch.distributed.checkpoint.state_dict.get_state_dict .Tutorial: https://pytorch.org/tutorials/recipes/distributed_checkpoint_recipe.html .
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warnings.warn(
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/usr/local/lib/python3.12/dist-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py:680: FutureWarning: FSDP.state_dict_type() and FSDP.set_state_dict_type() are being deprecated. Please use APIs, get_state_dict() and set_state_dict(), which can support different parallelisms, FSDP1, FSDP2, DDP. API doc: https://pytorch.org/docs/stable/distributed.checkpoint.html#torch.distributed.checkpoint.state_dict.get_state_dict .Tutorial: https://pytorch.org/tutorials/recipes/distributed_checkpoint_recipe.html .
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@@ -500,8 +500,8 @@ AETHERV27wayForCausalLM has generative capabilities, as `prepare_inputs_for_gene
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[2026-06-15 17:12:48][r2263068] [step 2150/324000] loss=20.6418 lr=5.00e-05 tps=31961 total=60.4B tok
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[2026-06-15 17:26:28][r2263068] [step 2200/324000] loss=20.6645 lr=5.00e-05 tps=31990 total=60.5B tok
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[2026-06-15 17:26:28][r2263068] [step 2200/324000] loss=20.6645 lr=5.00e-05 tps=31990 total=60.5B tok
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[2026-06-15 17:33:51][r2263068] [kill] /
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[2026-06-15 17:33:51][r2263068] [kill] /
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[rank2]:[E615 17:43:51.658291363 ProcessGroupNCCL.cpp:633] [Rank 2] Watchdog caught collective operation timeout: WorkNCCL(SeqNum=388567, OpType=ALLREDUCE, NumelIn=1, NumelOut=1, Timeout(ms)=600000) ran for 600000 milliseconds before timing out.
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[rank2]:[E615 17:43:51.658477401 ProcessGroupNCCL.cpp:2289] [PG ID 0 PG GUID 0(default_pg) Rank 2] failure detected by watchdog at work sequence id: 388567 PG status: last enqueued work: 388567, last completed work: 388566
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[rank2]:[E615 17:43:51.658486935 ProcessGroupNCCL.cpp:671] Stack trace of the failed collective not found, potentially because FlightRecorder is disabled. You can enable it by setting TORCH_NCCL_TRACE_BUFFER_SIZE to a non-zero value.
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@@ -1040,7 +1040,7 @@ frame #3: <unknown function> + 0xecdb4 (0x734c84ac7db4 in /lib/x86_64-linux-gnu/
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frame #4: <unknown function> + 0x9caa4 (0x734dae600aa4 in /lib/x86_64-linux-gnu/libc.so.6)
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frame #5: <unknown function> + 0x129c6c (0x734dae68dc6c in /lib/x86_64-linux-gnu/libc.so.6)
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[W615 17:43:58.175298711 TCPStore.cpp:106] [c10d] sendBytes failed on SocketImpl(fd=3, addr=[
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Exception raised from sendBytes at /opt/pytorch/pytorch/torch/csrc/distributed/c10d/Utils.hpp:646 (most recent call first):
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frame #0: c10::Error::Error(c10::SourceLocation, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >) + 0x98 (0x70fdf276f368 in /usr/local/lib/python3.12/dist-packages/torch/lib/libc10.so)
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frame #1: <unknown function> + 0x590544e (0x70fe46b1a44e in /usr/local/lib/python3.12/dist-packages/torch/lib/libtorch_cpu.so)
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frame #16: <unknown function> + 0x9caa4 (0x70fe5bc38aa4 in /lib/x86_64-linux-gnu/libc.so.6)
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frame #17: <unknown function> + 0x129c6c (0x70fe5bcc5c6c in /lib/x86_64-linux-gnu/libc.so.6)
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W0615 17:43:58.269000 2215298 torch/distributed/elastic/rendezvous/dynamic_rendezvous.py:1333] The node '
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[W615 17:44:03.178941908 TCPStore.cpp:106] [c10d] sendBytes failed on SocketImpl(fd=3, addr=[
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Exception raised from sendBytes at /opt/pytorch/pytorch/torch/csrc/distributed/c10d/Utils.hpp:646 (most recent call first):
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frame #0: c10::Error::Error(c10::SourceLocation, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >) + 0x98 (0x70fdf276f368 in /usr/local/lib/python3.12/dist-packages/torch/lib/libc10.so)
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frame #1: <unknown function> + 0x590544e (0x70fe46b1a44e in /usr/local/lib/python3.12/dist-packages/torch/lib/libtorch_cpu.so)
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@@ -1083,8 +1083,8 @@ frame #15: /usr/bin/python() [0x6b8fec]
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frame #16: <unknown function> + 0x9caa4 (0x70fe5bc38aa4 in /lib/x86_64-linux-gnu/libc.so.6)
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frame #17: <unknown function> + 0x129c6c (0x70fe5bcc5c6c in /lib/x86_64-linux-gnu/libc.so.6)
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W0615 17:44:03.273000 2215298 torch/distributed/elastic/rendezvous/dynamic_rendezvous.py:1333] The node '
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[W615 17:44:08.182724193 TCPStore.cpp:106] [c10d] sendBytes failed on SocketImpl(fd=3, addr=[
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Exception raised from sendBytes at /opt/pytorch/pytorch/torch/csrc/distributed/c10d/Utils.hpp:646 (most recent call first):
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frame #0: c10::Error::Error(c10::SourceLocation, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >) + 0x98 (0x70fdf276f368 in /usr/local/lib/python3.12/dist-packages/torch/lib/libc10.so)
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frame #1: <unknown function> + 0x590544e (0x70fe46b1a44e in /usr/local/lib/python3.12/dist-packages/torch/lib/libtorch_cpu.so)
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@@ -1105,18 +1105,18 @@ frame #15: /usr/bin/python() [0x6b8fec]
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frame #16: <unknown function> + 0x9caa4 (0x70fe5bc38aa4 in /lib/x86_64-linux-gnu/libc.so.6)
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frame #17: <unknown function> + 0x129c6c (0x70fe5bcc5c6c in /lib/x86_64-linux-gnu/libc.so.6)
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W0615 17:44:08.276000 2215298 torch/distributed/elastic/rendezvous/dynamic_rendezvous.py:1333] The node '
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[rank5]:[W615 17:45:17.956950325 ProcessGroupNCCL.cpp:4782] [PG ID 0 PG GUID 0 Rank 5] using GPU 5 to perform barrier as devices used by this process are currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. Specify device_ids in barrier() to force use of a particular device, or call init_process_group() with a device_id.
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[2026-06-15 17:45:18][r2273490] ====================================================================
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[2026-06-15 17:45:18][r2273490] ====================================================================
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[2026-06-15 17:45:18][r2273490] AETHER-2B-7Attn Phase 1.6 v2b β Continued Pretraining
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[2026-06-15 17:45:18][r2273490] AETHER-2B-7Attn Phase 1.6 v2b β Continued Pretraining
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[2026-06-15 17:45:18][r2273490] resume ckpt : /
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[2026-06-15 17:45:18][r2273490] resume ckpt : /
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[2026-06-15 17:45:18][r2273490] output : /
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[2026-06-15 17:45:18][r2273490] output : /
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[2026-06-15 17:45:18][r2273490] log : /
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[2026-06-15 17:45:18][r2273490] log : /
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[2026-06-15 17:45:18][r2273490] world_size : 16
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[2026-06-15 17:45:18][r2273490] world_size : 16
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[2026-06-15 17:45:18][r2273490] LR : 5e-05 β 5e-06 warmup=0
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[2026-06-15 17:51:03][r2273490] [3/5] Building optimizer (AdamW + LWD)...
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[2026-06-15 17:51:03][r2273490] param groups: 2
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[2026-06-15 17:51:03][r2273490] param groups: 2
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[2026-06-15 17:51:03][r2273490] [4/5] Loading DCP checkpoint: /
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[2026-06-15 17:51:03][r2273490] [4/5] Loading DCP checkpoint: /
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/usr/local/lib/python3.12/dist-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py:680: FutureWarning: FSDP.state_dict_type() and FSDP.set_state_dict_type() are being deprecated. Please use APIs, get_state_dict() and set_state_dict(), which can support different parallelisms, FSDP1, FSDP2, DDP. API doc: https://pytorch.org/docs/stable/distributed.checkpoint.html#torch.distributed.checkpoint.state_dict.get_state_dict .Tutorial: https://pytorch.org/tutorials/recipes/distributed_checkpoint_recipe.html .
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| 1222 |
warnings.warn(
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| 1223 |
/usr/local/lib/python3.12/dist-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py:680: FutureWarning: FSDP.state_dict_type() and FSDP.set_state_dict_type() are being deprecated. Please use APIs, get_state_dict() and set_state_dict(), which can support different parallelisms, FSDP1, FSDP2, DDP. API doc: https://pytorch.org/docs/stable/distributed.checkpoint.html#torch.distributed.checkpoint.state_dict.get_state_dict .Tutorial: https://pytorch.org/tutorials/recipes/distributed_checkpoint_recipe.html .
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| 4 |
[2026-06-15 15:55:17][r2263068] ====================================================================
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| 5 |
[2026-06-15 15:55:17][r2263068] AETHER-2B-7Attn Phase 1.6 v2b β Continued Pretraining
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| 6 |
[2026-06-15 15:55:17][r2263068] AETHER-2B-7Attn Phase 1.6 v2b β Continued Pretraining
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| 7 |
+
[2026-06-15 15:55:17][r2263068] resume ckpt : /workspace/aether/runs/v2b_phase16/ckpt/step_0001905
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| 8 |
+
[2026-06-15 15:55:17][r2263068] resume ckpt : /workspace/aether/runs/v2b_phase16/ckpt/step_0001905
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+
[2026-06-15 15:55:17][r2263068] output : /workspace/aether/runs/v2b_multi_phase16
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[2026-06-15 15:55:17][r2263068] output : /workspace/aether/runs/v2b_multi_phase16
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[2026-06-15 15:55:17][r2263068] log : /workspace/aether/logs/launcher_v2b_multi.log
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[2026-06-15 15:55:17][r2263068] log : /workspace/aether/logs/launcher_v2b_multi.log
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| 13 |
[2026-06-15 15:55:17][r2263068] world_size : 16
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| 14 |
[2026-06-15 15:55:17][r2263068] world_size : 16
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| 15 |
[2026-06-15 15:55:17][r2263068] LR : 5e-05 β 5e-06 warmup=0
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[2026-06-15 16:01:00][r2263068] [3/5] Building optimizer (AdamW + LWD)...
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[2026-06-15 16:01:00][r2263068] param groups: 2
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[2026-06-15 16:01:00][r2263068] param groups: 2
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[2026-06-15 16:01:00][r2263068] [4/5] Loading DCP checkpoint: /workspace/aether/runs/v2b_phase16/ckpt/step_0001905 (model-only, optimizer fresh for 16-GPU)
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[2026-06-15 16:01:00][r2263068] [4/5] Loading DCP checkpoint: /workspace/aether/runs/v2b_phase16/ckpt/step_0001905 (model-only, optimizer fresh for 16-GPU)
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| 113 |
/usr/local/lib/python3.12/dist-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py:680: FutureWarning: FSDP.state_dict_type() and FSDP.set_state_dict_type() are being deprecated. Please use APIs, get_state_dict() and set_state_dict(), which can support different parallelisms, FSDP1, FSDP2, DDP. API doc: https://pytorch.org/docs/stable/distributed.checkpoint.html#torch.distributed.checkpoint.state_dict.get_state_dict .Tutorial: https://pytorch.org/tutorials/recipes/distributed_checkpoint_recipe.html .
|
| 114 |
warnings.warn(
|
| 115 |
/usr/local/lib/python3.12/dist-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py:680: FutureWarning: FSDP.state_dict_type() and FSDP.set_state_dict_type() are being deprecated. Please use APIs, get_state_dict() and set_state_dict(), which can support different parallelisms, FSDP1, FSDP2, DDP. API doc: https://pytorch.org/docs/stable/distributed.checkpoint.html#torch.distributed.checkpoint.state_dict.get_state_dict .Tutorial: https://pytorch.org/tutorials/recipes/distributed_checkpoint_recipe.html .
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[2026-06-15 17:12:48][r2263068] [step 2150/324000] loss=20.6418 lr=5.00e-05 tps=31961 total=60.4B tok
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[2026-06-15 17:26:28][r2263068] [step 2200/324000] loss=20.6645 lr=5.00e-05 tps=31990 total=60.5B tok
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[2026-06-15 17:26:28][r2263068] [step 2200/324000] loss=20.6645 lr=5.00e-05 tps=31990 total=60.5B tok
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[2026-06-15 17:33:51][r2263068] [kill] /workspace/STOP_TRAINING_V2B_MULTI β save+exit
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[2026-06-15 17:33:51][r2263068] [kill] /workspace/STOP_TRAINING_V2B_MULTI β save+exit
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[rank2]:[E615 17:43:51.658291363 ProcessGroupNCCL.cpp:633] [Rank 2] Watchdog caught collective operation timeout: WorkNCCL(SeqNum=388567, OpType=ALLREDUCE, NumelIn=1, NumelOut=1, Timeout(ms)=600000) ran for 600000 milliseconds before timing out.
|
| 506 |
[rank2]:[E615 17:43:51.658477401 ProcessGroupNCCL.cpp:2289] [PG ID 0 PG GUID 0(default_pg) Rank 2] failure detected by watchdog at work sequence id: 388567 PG status: last enqueued work: 388567, last completed work: 388566
|
| 507 |
[rank2]:[E615 17:43:51.658486935 ProcessGroupNCCL.cpp:671] Stack trace of the failed collective not found, potentially because FlightRecorder is disabled. You can enable it by setting TORCH_NCCL_TRACE_BUFFER_SIZE to a non-zero value.
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| 1040 |
frame #4: <unknown function> + 0x9caa4 (0x734dae600aa4 in /lib/x86_64-linux-gnu/libc.so.6)
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frame #5: <unknown function> + 0x129c6c (0x734dae68dc6c in /lib/x86_64-linux-gnu/libc.so.6)
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| 1042 |
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| 1043 |
+
[W615 17:43:58.175298711 TCPStore.cpp:106] [c10d] sendBytes failed on SocketImpl(fd=3, addr=[node]:58606, remote=[node]:29500): Broken pipe
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| 1044 |
Exception raised from sendBytes at /opt/pytorch/pytorch/torch/csrc/distributed/c10d/Utils.hpp:646 (most recent call first):
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| 1045 |
frame #0: c10::Error::Error(c10::SourceLocation, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >) + 0x98 (0x70fdf276f368 in /usr/local/lib/python3.12/dist-packages/torch/lib/libc10.so)
|
| 1046 |
frame #1: <unknown function> + 0x590544e (0x70fe46b1a44e in /usr/local/lib/python3.12/dist-packages/torch/lib/libtorch_cpu.so)
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frame #16: <unknown function> + 0x9caa4 (0x70fe5bc38aa4 in /lib/x86_64-linux-gnu/libc.so.6)
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frame #17: <unknown function> + 0x129c6c (0x70fe5bcc5c6c in /lib/x86_64-linux-gnu/libc.so.6)
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| 1064 |
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W0615 17:43:58.269000 2215298 torch/distributed/elastic/rendezvous/dynamic_rendezvous.py:1333] The node 'node_2215298_0' has failed to send a keep-alive heartbeat to the rendezvous 'none' due to an error of type RendezvousConnectionError.
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| 1065 |
+
[W615 17:44:03.178941908 TCPStore.cpp:106] [c10d] sendBytes failed on SocketImpl(fd=3, addr=[node]:58606, remote=[node]:29500): Broken pipe
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| 1066 |
Exception raised from sendBytes at /opt/pytorch/pytorch/torch/csrc/distributed/c10d/Utils.hpp:646 (most recent call first):
|
| 1067 |
frame #0: c10::Error::Error(c10::SourceLocation, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >) + 0x98 (0x70fdf276f368 in /usr/local/lib/python3.12/dist-packages/torch/lib/libc10.so)
|
| 1068 |
frame #1: <unknown function> + 0x590544e (0x70fe46b1a44e in /usr/local/lib/python3.12/dist-packages/torch/lib/libtorch_cpu.so)
|
|
|
|
| 1083 |
frame #16: <unknown function> + 0x9caa4 (0x70fe5bc38aa4 in /lib/x86_64-linux-gnu/libc.so.6)
|
| 1084 |
frame #17: <unknown function> + 0x129c6c (0x70fe5bcc5c6c in /lib/x86_64-linux-gnu/libc.so.6)
|
| 1085 |
|
| 1086 |
+
W0615 17:44:03.273000 2215298 torch/distributed/elastic/rendezvous/dynamic_rendezvous.py:1333] The node 'node_2215298_0' has failed to send a keep-alive heartbeat to the rendezvous 'none' due to an error of type RendezvousConnectionError.
|
| 1087 |
+
[W615 17:44:08.182724193 TCPStore.cpp:106] [c10d] sendBytes failed on SocketImpl(fd=3, addr=[node]:58606, remote=[node]:29500): Broken pipe
|
| 1088 |
Exception raised from sendBytes at /opt/pytorch/pytorch/torch/csrc/distributed/c10d/Utils.hpp:646 (most recent call first):
|
| 1089 |
frame #0: c10::Error::Error(c10::SourceLocation, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >) + 0x98 (0x70fdf276f368 in /usr/local/lib/python3.12/dist-packages/torch/lib/libc10.so)
|
| 1090 |
frame #1: <unknown function> + 0x590544e (0x70fe46b1a44e in /usr/local/lib/python3.12/dist-packages/torch/lib/libtorch_cpu.so)
|
|
|
|
| 1105 |
frame #16: <unknown function> + 0x9caa4 (0x70fe5bc38aa4 in /lib/x86_64-linux-gnu/libc.so.6)
|
| 1106 |
frame #17: <unknown function> + 0x129c6c (0x70fe5bcc5c6c in /lib/x86_64-linux-gnu/libc.so.6)
|
| 1107 |
|
| 1108 |
+
W0615 17:44:08.276000 2215298 torch/distributed/elastic/rendezvous/dynamic_rendezvous.py:1333] The node 'node_2215298_0' has failed to send a keep-alive heartbeat to the rendezvous 'none' due to an error of type RendezvousConnectionError.
|
| 1109 |
[rank5]:[W615 17:45:17.956950325 ProcessGroupNCCL.cpp:4782] [PG ID 0 PG GUID 0 Rank 5] using GPU 5 to perform barrier as devices used by this process are currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. Specify device_ids in barrier() to force use of a particular device, or call init_process_group() with a device_id.
|
| 1110 |
[2026-06-15 17:45:18][r2273490] ====================================================================
|
| 1111 |
[2026-06-15 17:45:18][r2273490] ====================================================================
|
| 1112 |
[2026-06-15 17:45:18][r2273490] AETHER-2B-7Attn Phase 1.6 v2b β Continued Pretraining
|
| 1113 |
[2026-06-15 17:45:18][r2273490] AETHER-2B-7Attn Phase 1.6 v2b β Continued Pretraining
|
| 1114 |
+
[2026-06-15 17:45:18][r2273490] resume ckpt : /workspace/aether/runs/v2b_phase16/ckpt/step_0001905
|
| 1115 |
+
[2026-06-15 17:45:18][r2273490] resume ckpt : /workspace/aether/runs/v2b_phase16/ckpt/step_0001905
|
| 1116 |
+
[2026-06-15 17:45:18][r2273490] output : /workspace/aether/runs/v2b_multi_phase16
|
| 1117 |
+
[2026-06-15 17:45:18][r2273490] output : /workspace/aether/runs/v2b_multi_phase16
|
| 1118 |
+
[2026-06-15 17:45:18][r2273490] log : /workspace/aether/logs/launcher_v2b_multi.log
|
| 1119 |
+
[2026-06-15 17:45:18][r2273490] log : /workspace/aether/logs/launcher_v2b_multi.log
|
| 1120 |
[2026-06-15 17:45:18][r2273490] world_size : 16
|
| 1121 |
[2026-06-15 17:45:18][r2273490] world_size : 16
|
| 1122 |
[2026-06-15 17:45:18][r2273490] LR : 5e-05 β 5e-06 warmup=0
|
|
|
|
| 1216 |
[2026-06-15 17:51:03][r2273490] [3/5] Building optimizer (AdamW + LWD)...
|
| 1217 |
[2026-06-15 17:51:03][r2273490] param groups: 2
|
| 1218 |
[2026-06-15 17:51:03][r2273490] param groups: 2
|
| 1219 |
+
[2026-06-15 17:51:03][r2273490] [4/5] Loading DCP checkpoint: /workspace/aether/runs/v2b_phase16/ckpt/step_0001905 (model-only, optimizer fresh for 16-GPU)
|
| 1220 |
+
[2026-06-15 17:51:03][r2273490] [4/5] Loading DCP checkpoint: /workspace/aether/runs/v2b_phase16/ckpt/step_0001905 (model-only, optimizer fresh for 16-GPU)
|
| 1221 |
/usr/local/lib/python3.12/dist-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py:680: FutureWarning: FSDP.state_dict_type() and FSDP.set_state_dict_type() are being deprecated. Please use APIs, get_state_dict() and set_state_dict(), which can support different parallelisms, FSDP1, FSDP2, DDP. API doc: https://pytorch.org/docs/stable/distributed.checkpoint.html#torch.distributed.checkpoint.state_dict.get_state_dict .Tutorial: https://pytorch.org/tutorials/recipes/distributed_checkpoint_recipe.html .
|
| 1222 |
warnings.warn(
|
| 1223 |
/usr/local/lib/python3.12/dist-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py:680: FutureWarning: FSDP.state_dict_type() and FSDP.set_state_dict_type() are being deprecated. Please use APIs, get_state_dict() and set_state_dict(), which can support different parallelisms, FSDP1, FSDP2, DDP. API doc: https://pytorch.org/docs/stable/distributed.checkpoint.html#torch.distributed.checkpoint.state_dict.get_state_dict .Tutorial: https://pytorch.org/tutorials/recipes/distributed_checkpoint_recipe.html .
|