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Running on Zero
Running on Zero
Commit History
14 days ago
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Size the GPU slot from measured speeds: plain-generate speed (so a worker without the AOTI step is not cut off), 6 s overhead, 22 s floor; max_time counts from the start of the GPU call; name the part that was cut off Running
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15 days ago
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Keep rewrite at two inputs: the usage-log event rides in the facts value
Verified signatureTabs opened before the previous update (and old API calls) send two inputs; the three-input version rejected them (5 errors in an hour).dba86fa -
Store submitted text and rewrites (scrubbed) to improve the model; footer notice + privacy note
Verified signatureDraft and rewrite go to text_v1/ in the private dataset jialinyyzz/humanizer-usage, scrubbed by redact.py (email, phone, URL, card, SSN, IP, ID strings). Counts in raw/ unchanged. No visitor identifiers. Notice in the page footer and README.b3ed7fc
19 days ago
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Classify ZeroGPU errors (runs limit / no GPU / duration), log error text without visitor text, clearer notices; accept dict input on the API
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23 days ago
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About 1.5x faster decoding: ahead-of-time compiled decode step (falls back to transformers generate on any problem)
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Create fact: one-line how-to under the draft whenever it has text
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Import .docx/PDF, Create fact and the language guard (as in app 0.3.1/0.3.2)
Verified signatureCreate fact keeps selected passages word for word (placeholders, up to 3 tries, never shown changed); .docx/PDF import up to 10 MB, file deleted after reading; an English draft rewritten in Chinese is stopped and sampled again; long-draft note. Source: space/ in sgaofen/humanizer-local-model.9da9b01
26 days ago
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App 0.3.2: import .docx/PDF and Create fact; download links to app-v0.3.2
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Download buttons -> app 0.3.1
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27 days ago
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Download buttons point to app 0.3.0; memory table lists all five sizes (Q8_0, Q6_K, Q4_K_M, Q3, 2-bit); links to sgaofen/humanizer-local-model
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28 days ago
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Note that the fact judge is deliberately strict
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Lite removed from the memory table; releases named v1/v2; download buttons point to app 0.2.0
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Examples: one of 8 samples per draft from the Q8_0 file, picked by hand among fact-judge-clean samples, unedited
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29 days ago
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Rewrite long drafts part by part; keep partial text when the GPU stops; retry an empty sample once
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30 days ago
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examples: swap the work email and the Reddit post for cleaner RLRt2 first samples (work email, film review)
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Switch to RLRt2: new numbers (11/210 flagged, 376/420 and 149/204 with no factual problem), three RL rounds, Q4_K_M released; examples from the Q8_0 file
Verified signatureThe model repo root now holds RLRt2 (model commit 41c0299751f3c46d60c2df3590ac5e68deaf766d). Instant examples are the first sample from humanizer-12b-Q8_0.gguf, unedited.8484f80
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Describe fact fidelity by clean rewrites and fix size
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Download buttons fetch the .dmg / setup .exe directly
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In-page links scroll the parent page too (the Space is an iframe on huggingface.co)
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Default to English; 中文 via the switch or ?lang=zh
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Lede: "trained to keep" instead of an absolute promise
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Looser headline letter-spacing
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12B humanizer demo: app-style page, real examples, local-use guide
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12B humanizer demo: app-style page, real examples, local-use guide
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Count uses (timestamps and word counts only, never text) into a private dataset
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Put the no-detector line on its own paragraph so it cannot be misread
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humanizer demo: ZeroGPU, worked examples, failure modes on the page
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initial commit
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