Yiwen Lu yiwenlu66
yiwenlu66
/ coalesce0.jsonl
Created
January 26, 2026 13:43
issue #129: Qwen3-30B-A3B TP=4 single-node LoRA /asample reduced sweep (coalesce0 vs coalesce1) pl=32000 mt=256
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| {"base_url": "http://localhost:8000", "create_training_client_s": 0.31418959295842797, "filler_id": 264, "gen_max_tokens": 256, "git_sha": "6bbdb94175ac7ccd6675af3a3baec4f80c3392ff", "kind": "meta", "label": "coalesce0", "model": "Qwen/Qwen3-30B-A3B-Instruct-2507", "n_prompts": [1, 8], "n_samples": [1, 8], "prompt_len": 32000, "prompt_logprobs": [0, 1], "prompt_reuse": ["same_prompt", "unique_prompts"], "rank": 16, "repeats": 1, "sampling_session_id": "e02f213e-5534-413a-bfb2-67d16e018253", "save_weights_and_get_sampling_client_s": 14.9925129909534, "tokenizer_vocab_size": 151643, "ts": "2026-01-26T12:57:59+00:00", "unique_batches": true} | |
| {"case_idx": 1, "kind": "case", "n_prompts": 1, "n_samples": 1, "poll_s": 0.2, "prompt_logprobs": 0, "prompt_reuse": "same_prompt", "repeat": 0, "topk_prompt_logprobs": 0, "ts": "2026-01-26T12:57:59+00:00"} | |
| {"batch_wall_s": 48.80361754097976, "case_idx": 1, "client_total_s": 48.803215709049255, "error": null, "gen_max_tokens": 256, "kind": "request", "n_prompts": 1, "n_sampl |
yiwenlu66
/ coalesce0.jsonl
Created
January 26, 2026 12:42
issue #129: Qwen3-4B LoRA /asample sweep (coalesce0 vs coalesce1) pl=32000 mt=256
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| {"base_url": "http://localhost:8000", "create_training_client_s": 12.569012865889817, "filler_id": 264, "gen_max_tokens": 256, "git_sha": "6bbdb94175ac7ccd6675af3a3baec4f80c3392ff", "kind": "meta", "label": "coalesce0", "model": "Qwen/Qwen3-4B-Instruct-2507", "n_prompts": [1, 2, 4, 8], "n_samples": [1, 2, 4, 8], "prompt_len": 32000, "prompt_logprobs": [0, 1], "prompt_reuse": ["same_prompt", "unique_prompts"], "rank": 16, "repeats": 1, "sampling_session_id": "60ea6c1b-8761-4dd6-bde3-9dd78f44ca2a", "save_weights_and_get_sampling_client_s": 77.64279290300328, "tokenizer_vocab_size": 151643, "ts": "2026-01-26T11:33:42+00:00", "unique_batches": true} | |
| {"case_idx": 1, "kind": "case", "n_prompts": 1, "n_samples": 1, "poll_s": 0.2, "prompt_logprobs": 0, "prompt_reuse": "same_prompt", "repeat": 0, "topk_prompt_logprobs": 0, "ts": "2026-01-26T11:33:42+00:00"} | |
| {"batch_wall_s": 12.675236565992236, "case_idx": 1, "client_total_s": 12.674761680071242, "error": null, "gen_max_tokens": 256, "kind": "request", "n_prompts": 1, |
yiwenlu66
/ whisper-dictate
Last active
December 3, 2025 16:21
Whisper dictation: F2 to transcribe, F3 to transcribe + cleanup with Ollama (Qwen 2.5). ~160 lines, GPU-accelerated.
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| #!/usr/bin/env python3 | |
| """Whisper dictation: F2 to transcribe, F3 to transcribe + cleanup with Ollama.""" | |
| import json | |
| import re | |
| import subprocess | |
| import threading | |
| import time | |
| import urllib.request | |
| import numpy as np |
yiwenlu66
/ queue_gpu.py
Created
August 4, 2017 05:03
A simple script to run a command as soon as a GPU is idle.
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| import subprocess | |
| import time | |
| import re | |
| import sys | |
| while True: | |
| out = subprocess.check_output('nvidia-smi') | |
| usage = int(re.search(b'\d*MiB /', out).group(0).split(b'M')[0]) | |
| if usage < 1000: | |
| subprocess.Popen(sys.argv[1:]) |
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| #!/usr/bin/env python3 | |
| import sys | |
| import sexpdata | |
| def walk_bmarks(bmarks, level): | |
| output = '' | |
| wroteTitle = False | |
| for j in bmarks: |
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| import asyncio | |
| import socket | |
| from string import ascii_letters | |
| import random | |
| class BroadcastProtocol: | |
| def __init__(self, loop): | |
| self.loop = loop |
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| import requests | |
| from bs4 import BeautifulSoup | |
| # Fill in your account here | |
| EMAIL = "" | |
| PASSWD = "" | |
| session = requests.Session() | |
| main_url = "http://ne2x.com/" | |
| main = session.get(main_url) |
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| # From http://www.robberphex.com/2013/05/141 | |
| # -*- coding: utf-8 -*- | |
| import os | |
| import sys | |
| import zipfile | |
| from optparse import OptionParser | |
| def listZip(zipf): | |
| print "Archive: %s" %zipf |