Text Generation
Transformers
TensorBoard
Safetensors
gpt_neox
Generated from Trainer
trl
sft
text-generation-inference
Instructions to use chardizard/Pythia410mRE-WILD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chardizard/Pythia410mRE-WILD with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="chardizard/Pythia410mRE-WILD")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("chardizard/Pythia410mRE-WILD") model = AutoModelForCausalLM.from_pretrained("chardizard/Pythia410mRE-WILD") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use chardizard/Pythia410mRE-WILD with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "chardizard/Pythia410mRE-WILD" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "chardizard/Pythia410mRE-WILD", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/chardizard/Pythia410mRE-WILD
- SGLang
How to use chardizard/Pythia410mRE-WILD 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 "chardizard/Pythia410mRE-WILD" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "chardizard/Pythia410mRE-WILD", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'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 "chardizard/Pythia410mRE-WILD" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "chardizard/Pythia410mRE-WILD", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use chardizard/Pythia410mRE-WILD with Docker Model Runner:
docker model run hf.co/chardizard/Pythia410mRE-WILD
Training in progress, step 500
Browse files- dap_multiplexer.INFO +9 -9
- dap_multiplexer.b07af655c6a1.root.log.INFO.20250506-180835.137 +22 -0
- language_service.INFO +45 -19
- language_service.b07af655c6a1.root.log.INFO.20250506-181822.2625 +29 -0
- language_service.b07af655c6a1.root.log.INFO.20250506-181941.3009 +7 -0
- language_service.b07af655c6a1.root.log.INFO.20250506-181941.3031 +58 -0
- model.safetensors +2 -2
- tmpi7jhzfdl/__pycache__/_remote_module_non_scriptable.cpython-311.pyc +0 -0
- tmpi7jhzfdl/_remote_module_non_scriptable.py +81 -0
- training_args.bin +1 -1
dap_multiplexer.INFO
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as //research/colab/dap_multiplexer:dap_multiplexer
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dap_multiplexer.b07af655c6a1.root.log.INFO.20250506-180835.137
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I0506 18:08:35.903922 1 log_spam.go:51] Command line arguments:
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I0506 18:08:35.903927 1 log_spam.go:53] argv[0]: '/usr/local/bin/dap_multiplexer'
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as //research/colab/datalab/language_service:language_service
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I0506 18:19:41.717656 1 log_spam.go:53] argv[0]: '/usr/colab/bin/language_service'
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I0506 18:19:41.717661 1 log_spam.go:53] argv[1]: '--lsp_search_dirs=/datalab/web/pyright/typeshed-fallback/stdlib,/usr/local/lib/python3.10/dist-packages'
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language_service.b07af655c6a1.root.log.INFO.20250506-181822.2625
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Log file created at: 2025/05/06 18:18:22
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Binary: Built on Dec 31 1969 16:00:00 -0800 (0)
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Binary: Built with gc go1.25-20250420-RC00 cl/749505989 +c893e1cf82 X:fieldtrack,boringcrypto for linux/amd64
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Log line format: [IWEF]mmdd hh:mm:ss.uuuuuu threadid file:line] msg
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I0506 18:18:22.590619 1 log_spam.go:43] Process id 2625
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I0506 18:18:22.590959 1 log_spam.go:47] Current working directory /datalab/web
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I0506 18:18:22.590967 1 log_spam.go:49] Current timezone is UTC (currently UTC +00:00)
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I0506 18:18:22.590988 1 log_spam.go:50] Built on Dec 31 1969 16:00:00 -0800 (0)
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at redacted@redacted:.
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as //research/colab/datalab/language_service:language_service
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with gc go1.25-20250420-RC00 cl/749505989 +c893e1cf82 X:fieldtrack,boringcrypto for linux/amd64
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from changelist 0 in a unknown client based on redacted
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Build tool: unknown
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Build target: //research/colab/datalab/language_service:language_service
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I0506 18:18:22.590991 1 log_spam.go:51] Command line arguments:
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I0506 18:18:22.590994 1 log_spam.go:53] argv[0]: '/usr/colab/bin/language_service'
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I0506 18:18:22.590997 1 log_spam.go:53] argv[1]: '--lsp_search_dirs=/datalab/web/pyright/typeshed-fallback/stdlib,/usr/local/lib/python3.10/dist-packages'
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I0506 18:18:22.590999 1 log_spam.go:53] argv[2]: '--language_services_request_root_url=http://172.28.0.1:8013/'
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I0506 18:18:22.591001 1 log_spam.go:53] argv[3]: '--language_services_request_timeout=30s'
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I0506 18:18:22.591003 1 log_spam.go:53] argv[4]: '--'
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I0506 18:18:22.591004 1 log_spam.go:53] argv[5]: 'node'
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I0506 18:18:22.591005 1 log_spam.go:53] argv[6]: '/datalab/web/pyright/pyright-langserver.js'
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+
I0506 18:18:22.591007 1 log_spam.go:53] argv[7]: '--stdio'
|
| 29 |
+
I0506 18:18:22.591009 1 log_spam.go:53] argv[8]: '--cancellationReceive=file:753a0955fe720218fb3635672f7d6ef41d4f82dc75'
|
language_service.b07af655c6a1.root.log.INFO.20250506-181941.3009
ADDED
|
@@ -0,0 +1,7 @@
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| 1 |
+
Log file created at: 2025/05/06 18:19:41
|
| 2 |
+
Running on machine: b07af655c6a1
|
| 3 |
+
Binary: Built on Dec 31 1969 16:00:00 -0800 (0)
|
| 4 |
+
Binary: Built at redacted@redacted:.
|
| 5 |
+
Binary: Built with gc go1.25-20250420-RC00 cl/749505989 +c893e1cf82 X:fieldtrack,boringcrypto for linux/amd64
|
| 6 |
+
Previous log: <none>
|
| 7 |
+
Log line format: [IWEF]mmdd hh:mm:ss.uuuuuu threadid file:line] msg
|
language_service.b07af655c6a1.root.log.INFO.20250506-181941.3031
ADDED
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@@ -0,0 +1,58 @@
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| 1 |
+
Log file created at: 2025/05/06 18:19:41
|
| 2 |
+
Running on machine: b07af655c6a1
|
| 3 |
+
Binary: Built on Dec 31 1969 16:00:00 -0800 (0)
|
| 4 |
+
Binary: Built at redacted@redacted:.
|
| 5 |
+
Binary: Built with gc go1.25-20250420-RC00 cl/749505989 +c893e1cf82 X:fieldtrack,boringcrypto for linux/amd64
|
| 6 |
+
Previous log: <none>
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| 7 |
+
Log line format: [IWEF]mmdd hh:mm:ss.uuuuuu threadid file:line] msg
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| 8 |
+
I0506 18:19:41.717097 1 log_spam.go:43] Process id 3031
|
| 9 |
+
I0506 18:19:41.717582 1 log_spam.go:47] Current working directory /datalab/web
|
| 10 |
+
I0506 18:19:41.717595 1 log_spam.go:49] Current timezone is UTC (currently UTC +00:00)
|
| 11 |
+
I0506 18:19:41.717645 1 log_spam.go:50] Built on Dec 31 1969 16:00:00 -0800 (0)
|
| 12 |
+
at redacted@redacted:.
|
| 13 |
+
as //research/colab/datalab/language_service:language_service
|
| 14 |
+
with gc go1.25-20250420-RC00 cl/749505989 +c893e1cf82 X:fieldtrack,boringcrypto for linux/amd64
|
| 15 |
+
from changelist 0 in a unknown client based on redacted
|
| 16 |
+
Build tool: unknown
|
| 17 |
+
Build target: //research/colab/datalab/language_service:language_service
|
| 18 |
+
Build id: unknown
|
| 19 |
+
Built with PGO profile: unknown
|
| 20 |
+
I0506 18:19:41.717652 1 log_spam.go:51] Command line arguments:
|
| 21 |
+
I0506 18:19:41.717656 1 log_spam.go:53] argv[0]: '/usr/colab/bin/language_service'
|
| 22 |
+
I0506 18:19:41.717661 1 log_spam.go:53] argv[1]: '--lsp_search_dirs=/datalab/web/pyright/typeshed-fallback/stdlib,/usr/local/lib/python3.10/dist-packages'
|
| 23 |
+
I0506 18:19:41.717665 1 log_spam.go:53] argv[2]: '--language_services_request_root_url=http://172.28.0.1:8013/'
|
| 24 |
+
I0506 18:19:41.717668 1 log_spam.go:53] argv[3]: '--language_services_request_timeout=30s'
|
| 25 |
+
I0506 18:19:41.717671 1 log_spam.go:53] argv[4]: '--'
|
| 26 |
+
I0506 18:19:41.717682 1 log_spam.go:53] argv[5]: 'node'
|
| 27 |
+
I0506 18:19:41.717685 1 log_spam.go:53] argv[6]: '/datalab/web/pyright/pyright-langserver.js'
|
| 28 |
+
I0506 18:19:41.717688 1 log_spam.go:53] argv[7]: '--stdio'
|
| 29 |
+
I0506 18:19:41.717692 1 log_spam.go:53] argv[8]: '--cancellationReceive=file:15252db1c886861deb82a831bf172cb79d84703f3f'
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| 30 |
+
I0506 18:19:47.753115 52 ls.go:1241] cancel was requested for: 10, needs to be canceled: false
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I0506 18:21:52.634700 52 ls.go:1241] cancel was requested for: 15, needs to be canceled: false
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I0506 18:23:27.618397 52 ls.go:1241] cancel was requested for: 54, needs to be canceled: false
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I0506 18:23:31.491393 52 ls.go:1241] cancel was requested for: 60, needs to be canceled: false
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I0506 18:23:40.130561 52 ls.go:1241] cancel was requested for: 67, needs to be canceled: false
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I0506 18:23:42.525602 52 ls.go:1241] cancel was requested for: 68, needs to be canceled: false
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I0506 18:24:04.685209 52 ls.go:1241] cancel was requested for: 86, needs to be canceled: false
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model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
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| 3 |
-
size
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|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:dca0e0bf9c11df69fd046363731fa2ebf1ca56a25d9a34cbff45d653954f5dbe
|
| 3 |
+
size 1621375948
|
tmpi7jhzfdl/__pycache__/_remote_module_non_scriptable.cpython-311.pyc
ADDED
|
Binary file (2.77 kB). View file
|
|
|
tmpi7jhzfdl/_remote_module_non_scriptable.py
ADDED
|
@@ -0,0 +1,81 @@
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|
|
|
|
| 1 |
+
from typing import *
|
| 2 |
+
|
| 3 |
+
import torch
|
| 4 |
+
import torch.distributed.rpc as rpc
|
| 5 |
+
from torch import Tensor
|
| 6 |
+
from torch._jit_internal import Future
|
| 7 |
+
from torch.distributed.rpc import RRef
|
| 8 |
+
from typing import Tuple # pyre-ignore: unused import
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
module_interface_cls = None
|
| 12 |
+
|
| 13 |
+
|
| 14 |
+
def forward_async(self, *args, **kwargs):
|
| 15 |
+
args = (self.module_rref, self.device, self.is_device_map_set, *args)
|
| 16 |
+
kwargs = {**kwargs}
|
| 17 |
+
return rpc.rpc_async(
|
| 18 |
+
self.module_rref.owner(),
|
| 19 |
+
_remote_forward,
|
| 20 |
+
args,
|
| 21 |
+
kwargs,
|
| 22 |
+
)
|
| 23 |
+
|
| 24 |
+
|
| 25 |
+
def forward(self, *args, **kwargs):
|
| 26 |
+
args = (self.module_rref, self.device, self.is_device_map_set, *args)
|
| 27 |
+
kwargs = {**kwargs}
|
| 28 |
+
ret_fut = rpc.rpc_async(
|
| 29 |
+
self.module_rref.owner(),
|
| 30 |
+
_remote_forward,
|
| 31 |
+
args,
|
| 32 |
+
kwargs,
|
| 33 |
+
)
|
| 34 |
+
return ret_fut.wait()
|
| 35 |
+
|
| 36 |
+
|
| 37 |
+
_generated_methods = [
|
| 38 |
+
forward_async,
|
| 39 |
+
forward,
|
| 40 |
+
]
|
| 41 |
+
|
| 42 |
+
|
| 43 |
+
|
| 44 |
+
|
| 45 |
+
def _remote_forward(
|
| 46 |
+
module_rref: RRef[module_interface_cls], device: str, is_device_map_set: bool, *args, **kwargs):
|
| 47 |
+
module = module_rref.local_value()
|
| 48 |
+
device = torch.device(device)
|
| 49 |
+
|
| 50 |
+
if device.type != "cuda":
|
| 51 |
+
return module.forward(*args, **kwargs)
|
| 52 |
+
|
| 53 |
+
# If the module is on a cuda device,
|
| 54 |
+
# move any CPU tensor in args or kwargs to the same cuda device.
|
| 55 |
+
# Since torch script does not support generator expression,
|
| 56 |
+
# have to use concatenation instead of
|
| 57 |
+
# ``tuple(i.to(device) if isinstance(i, Tensor) else i for i in *args)``.
|
| 58 |
+
args = (*args,)
|
| 59 |
+
out_args: Tuple[()] = ()
|
| 60 |
+
for arg in args:
|
| 61 |
+
arg = (arg.to(device),) if isinstance(arg, Tensor) else (arg,)
|
| 62 |
+
out_args = out_args + arg
|
| 63 |
+
|
| 64 |
+
kwargs = {**kwargs}
|
| 65 |
+
for k, v in kwargs.items():
|
| 66 |
+
if isinstance(v, Tensor):
|
| 67 |
+
kwargs[k] = kwargs[k].to(device)
|
| 68 |
+
|
| 69 |
+
if is_device_map_set:
|
| 70 |
+
return module.forward(*out_args, **kwargs)
|
| 71 |
+
|
| 72 |
+
# If the device map is empty, then only CPU tensors are allowed to send over wire,
|
| 73 |
+
# so have to move any GPU tensor to CPU in the output.
|
| 74 |
+
# Since torch script does not support generator expression,
|
| 75 |
+
# have to use concatenation instead of
|
| 76 |
+
# ``tuple(i.cpu() if isinstance(i, Tensor) else i for i in module.forward(*out_args, **kwargs))``.
|
| 77 |
+
ret: Tuple[()] = ()
|
| 78 |
+
for i in module.forward(*out_args, **kwargs):
|
| 79 |
+
i = (i.cpu(),) if isinstance(i, Tensor) else (i,)
|
| 80 |
+
ret = ret + i
|
| 81 |
+
return ret
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 5624
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:40e360dd6496ec917b8d06dbf50496f10b40e7a0c2bdc1cef254b784d703ca12
|
| 3 |
size 5624
|