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- config.json +4 -4
- dap_multiplexer.2809d093debe.root.log.INFO.20250506-220315.133 +22 -0
- dap_multiplexer.INFO +9 -9
- language_service.2809d093debe.root.log.INFO.20250506-220346.370 +48 -0
- language_service.2809d093debe.root.log.INFO.20250506-220534.897 +7 -0
- language_service.2809d093debe.root.log.INFO.20250506-220535.922 +41 -0
- language_service.INFO +28 -45
- model.safetensors +2 -2
- runs/May06_22-29-20_2809d093debe/events.out.tfevents.1746570561.2809d093debe.301.0 +3 -0
- tmp6yvqll6r/__pycache__/_remote_module_non_scriptable.cpython-311.pyc +0 -0
- tmp6yvqll6r/_remote_module_non_scriptable.py +81 -0
- tokenizer_config.json +1 -1
- training_args.bin +1 -1
config.json
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"eos_token_id": 0,
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"hidden_act": "gelu",
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"hidden_size":
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"initializer_range": 0.02,
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"intermediate_size":
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 2048,
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"model_type": "gpt_neox",
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"partial_rotary_factor": 0.25,
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"rope_scaling": null,
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"rope_theta": 10000,
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"eos_token_id": 0,
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"hidden_act": "gelu",
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"hidden_size": 128,
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"initializer_range": 0.02,
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"intermediate_size": 512,
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 2048,
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"model_type": "gpt_neox",
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"num_attention_heads": 4,
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"num_hidden_layers": 6,
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"partial_rotary_factor": 0.25,
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"rope_scaling": null,
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"rope_theta": 10000,
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dap_multiplexer.2809d093debe.root.log.INFO.20250506-220315.133
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Log file created at: 2025/05/06 22:03:15
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Running on machine: 2809d093debe
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Binary: Built on Dec 31 1969 16:00:00 -0800 (0)
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Binary: Built at redacted@redacted:.
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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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Previous log: <none>
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Log line format: [IWEF]mmdd hh:mm:ss.uuuuuu threadid file:line] msg
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I0506 22:03:15.564100 1 log_spam.go:43] Process id 133
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I0506 22:03:15.564506 1 log_spam.go:47] Current working directory /
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I0506 22:03:15.564513 1 log_spam.go:49] Current timezone is UTC (currently UTC +00:00)
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I0506 22:03:15.564537 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/dap_multiplexer:dap_multiplexer
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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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I0506 22:03:15.564543 1 log_spam.go:51] Command line arguments:
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I0506 22:03:15.564546 1 log_spam.go:53] argv[0]: '/usr/local/bin/dap_multiplexer'
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I0506 22:03:15.564548 1 log_spam.go:53] argv[1]: '--domain_socket_path=/tmp/debugger_2nmn5rw6k1'
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dap_multiplexer.INFO
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Binary: Built on Dec 31 1969 16:00:00 -0800 (0)
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with gc go1.25-20250420-RC00 cl/749505989 +c893e1cf82 X:fieldtrack,boringcrypto for linux/amd64
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Log file created at: 2025/05/06 22:03:15
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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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I0506 22:03:15.564100 1 log_spam.go:43] Process id 133
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I0506 22:03:15.564506 1 log_spam.go:47] Current working directory /
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I0506 22:03:15.564513 1 log_spam.go:49] Current timezone is UTC (currently UTC +00:00)
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I0506 22:03:15.564537 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/dap_multiplexer:dap_multiplexer
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with gc go1.25-20250420-RC00 cl/749505989 +c893e1cf82 X:fieldtrack,boringcrypto for linux/amd64
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Build target: //research/colab/dap_multiplexer:dap_multiplexer
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I0506 22:03:15.564543 1 log_spam.go:51] Command line arguments:
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I0506 22:03:15.564546 1 log_spam.go:53] argv[0]: '/usr/local/bin/dap_multiplexer'
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I0506 22:03:15.564548 1 log_spam.go:53] argv[1]: '--domain_socket_path=/tmp/debugger_2nmn5rw6k1'
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language_service.2809d093debe.root.log.INFO.20250506-220346.370
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Log file created at: 2025/05/06 22:03:46
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Binary: Built on Dec 31 1969 16:00:00 -0800 (0)
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Binary: Built at redacted@redacted:.
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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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Previous log: <none>
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Log line format: [IWEF]mmdd hh:mm:ss.uuuuuu threadid file:line] msg
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I0506 22:03:46.934232 1 log_spam.go:43] Process id 370
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I0506 22:03:46.934676 1 log_spam.go:47] Current working directory /datalab/web
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I0506 22:03:46.934687 1 log_spam.go:49] Current timezone is UTC (currently UTC +00:00)
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I0506 22:03:46.934756 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 22:03:46.934768 1 log_spam.go:51] Command line arguments:
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I0506 22:03:46.934778 1 log_spam.go:53] argv[0]: '/usr/colab/bin/language_service'
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I0506 22:03:46.934782 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 22:03:46.934784 1 log_spam.go:53] argv[2]: '--language_services_request_root_url=http://172.28.0.1:8013/'
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I0506 22:03:46.934787 1 log_spam.go:53] argv[3]: '--language_services_request_timeout=30s'
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I0506 22:03:46.934789 1 log_spam.go:53] argv[4]: '--'
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I0506 22:03:46.934791 1 log_spam.go:53] argv[5]: 'node'
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I0506 22:03:46.934793 1 log_spam.go:53] argv[6]: '/datalab/web/pyright/pyright-langserver.js'
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I0506 22:03:46.934797 1 log_spam.go:53] argv[8]: '--cancellationReceive=file:ab4e7a9cbedef186eb18f9686827b88b5b51e9fd97'
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language_service.2809d093debe.root.log.INFO.20250506-220534.897
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Log file created at: 2025/05/06 22:05:34
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Running on machine: 2809d093debe
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Binary: Built on Dec 31 1969 16:00:00 -0800 (0)
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Binary: Built at redacted@redacted:.
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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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Previous log: <none>
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Log line format: [IWEF]mmdd hh:mm:ss.uuuuuu threadid file:line] msg
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language_service.2809d093debe.root.log.INFO.20250506-220535.922
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Log file created at: 2025/05/06 22:05:35
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Running on machine: 2809d093debe
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Binary: Built on Dec 31 1969 16:00:00 -0800 (0)
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Binary: Built at redacted@redacted:.
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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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Previous log: <none>
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Log line format: [IWEF]mmdd hh:mm:ss.uuuuuu threadid file:line] msg
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I0506 22:05:35.933100 1 log_spam.go:43] Process id 922
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I0506 22:05:35.933378 1 log_spam.go:47] Current working directory /datalab/web
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I0506 22:05:35.933386 1 log_spam.go:49] Current timezone is UTC (currently UTC +00:00)
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I0506 22:05:35.933447 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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Build id: unknown
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Built with PGO profile: unknown
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I0506 22:05:35.933452 1 log_spam.go:51] Command line arguments:
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I0506 22:05:35.933454 1 log_spam.go:53] argv[0]: '/usr/colab/bin/language_service'
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I0506 22:05:35.933457 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 22:05:35.933459 1 log_spam.go:53] argv[2]: '--language_services_request_root_url=http://172.28.0.1:8013/'
|
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I0506 22:05:35.933460 1 log_spam.go:53] argv[3]: '--language_services_request_timeout=30s'
|
| 25 |
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I0506 22:05:35.933462 1 log_spam.go:53] argv[4]: '--'
|
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I0506 22:05:35.933463 1 log_spam.go:53] argv[5]: 'node'
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I0506 22:05:35.933465 1 log_spam.go:53] argv[6]: '/datalab/web/pyright/pyright-langserver.js'
|
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I0506 22:05:35.933471 1 log_spam.go:53] argv[8]: '--cancellationReceive=file:7e3261f6b4c29b135e4abbae7651fb35f873820f17'
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language_service.INFO
CHANGED
|
@@ -1,14 +1,14 @@
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-
Log file created at: 2025/05/06
|
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-
Running on machine:
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| 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
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Previous log: <none>
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as //research/colab/datalab/language_service:language_service
|
| 14 |
with gc go1.25-20250420-RC00 cl/749505989 +c893e1cf82 X:fieldtrack,boringcrypto for linux/amd64
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Log file created at: 2025/05/06 22:05:35
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Running on machine: 2809d093debe
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| 3 |
Binary: Built on Dec 31 1969 16:00:00 -0800 (0)
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| 4 |
Binary: Built at redacted@redacted:.
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| 5 |
Binary: Built with gc go1.25-20250420-RC00 cl/749505989 +c893e1cf82 X:fieldtrack,boringcrypto for linux/amd64
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Previous log: <none>
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Log line format: [IWEF]mmdd hh:mm:ss.uuuuuu threadid file:line] msg
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I0506 22:05:35.933100 1 log_spam.go:43] Process id 922
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| 9 |
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I0506 22:05:35.933378 1 log_spam.go:47] Current working directory /datalab/web
|
| 10 |
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I0506 22:05:35.933386 1 log_spam.go:49] Current timezone is UTC (currently UTC +00:00)
|
| 11 |
+
I0506 22:05:35.933447 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
|
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| 17 |
Build target: //research/colab/datalab/language_service:language_service
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| 18 |
Build id: unknown
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Built with PGO profile: unknown
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+
I0506 22:05:35.933452 1 log_spam.go:51] Command line arguments:
|
| 21 |
+
I0506 22:05:35.933454 1 log_spam.go:53] argv[0]: '/usr/colab/bin/language_service'
|
| 22 |
+
I0506 22:05:35.933457 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 22:05:35.933459 1 log_spam.go:53] argv[2]: '--language_services_request_root_url=http://172.28.0.1:8013/'
|
| 24 |
+
I0506 22:05:35.933460 1 log_spam.go:53] argv[3]: '--language_services_request_timeout=30s'
|
| 25 |
+
I0506 22:05:35.933462 1 log_spam.go:53] argv[4]: '--'
|
| 26 |
+
I0506 22:05:35.933463 1 log_spam.go:53] argv[5]: 'node'
|
| 27 |
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I0506 22:05:35.933465 1 log_spam.go:53] argv[6]: '/datalab/web/pyright/pyright-langserver.js'
|
| 28 |
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I0506 22:05:35.933466 1 log_spam.go:53] argv[7]: '--stdio'
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I0506 22:05:35.933471 1 log_spam.go:53] argv[8]: '--cancellationReceive=file:7e3261f6b4c29b135e4abbae7651fb35f873820f17'
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model.safetensors
CHANGED
|
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| 1 |
version https://git-lfs.github.com/spec/v1
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| 2 |
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| 1 |
version https://git-lfs.github.com/spec/v1
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| 3 |
+
size 56279344
|
runs/May06_22-29-20_2809d093debe/events.out.tfevents.1746570561.2809d093debe.301.0
ADDED
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oid sha256:4ffdcc9d89c12a4db5d2877e2d648d747b8e2b374c18b7810518cd5af3f6584e
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| 3 |
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size 5831
|
tmp6yvqll6r/__pycache__/_remote_module_non_scriptable.cpython-311.pyc
ADDED
|
Binary file (2.77 kB). View file
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tmp6yvqll6r/_remote_module_non_scriptable.py
ADDED
|
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|
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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
|
tokenizer_config.json
CHANGED
|
@@ -205,7 +205,7 @@
|
|
| 205 |
}
|
| 206 |
},
|
| 207 |
"bos_token": "<|endoftext|>",
|
| 208 |
-
"clean_up_tokenization_spaces":
|
| 209 |
"eos_token": "<|endoftext|>",
|
| 210 |
"extra_special_tokens": {},
|
| 211 |
"model_max_length": 1000000000000000019884624838656,
|
|
|
|
| 205 |
}
|
| 206 |
},
|
| 207 |
"bos_token": "<|endoftext|>",
|
| 208 |
+
"clean_up_tokenization_spaces": true,
|
| 209 |
"eos_token": "<|endoftext|>",
|
| 210 |
"extra_special_tokens": {},
|
| 211 |
"model_max_length": 1000000000000000019884624838656,
|
training_args.bin
CHANGED
|
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version https://git-lfs.github.com/spec/v1
|
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size 5624
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version https://git-lfs.github.com/spec/v1
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