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g3-3x128-a09: 3.5738 bits/char

Browse files
README.md CHANGED
@@ -45,6 +45,7 @@ Vocabulary is 256 bytes with byte 0 as the stop token; the held-out split is
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  | [g2-8x192-a09](g2-8x192-a09) | 8×192 | 3.7M | 40,000 | 3.5397 | 93% |
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  | [prod-8x768-phase2](prod-8x768-phase2) | 8×768 | 56.9M | 60,000 | 3.5619 | 93% |
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  | [g2-12x128-a09](g2-12x128-a09) | 12×128 | 2.5M | 40,000 | 3.5705 | 93% |
 
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  | [g3-8x64-a09](g3-8x64-a09) | 8×64 | 0.4M | 40,000 | 3.5923 | 93% |
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  | [teacher-16x1024](teacher-16x1024) | 16×1024 | 205.9M | 9,000 | 3.6068 | 94% |
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  | [pre-6x640-a09](pre-6x640-a09) | 6×640 | 30.7M | 20,000 | 3.6137 | 94% |
 
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  | [g2-8x192-a09](g2-8x192-a09) | 8×192 | 3.7M | 40,000 | 3.5397 | 93% |
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  | [prod-8x768-phase2](prod-8x768-phase2) | 8×768 | 56.9M | 60,000 | 3.5619 | 93% |
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  | [g2-12x128-a09](g2-12x128-a09) | 12×128 | 2.5M | 40,000 | 3.5705 | 93% |
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+ | [g3-3x128-a09](g3-3x128-a09) | 3×128 | 0.6M | 40,000 | 3.5738 | 93% |
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  | [g3-8x64-a09](g3-8x64-a09) | 8×64 | 0.4M | 40,000 | 3.5923 | 93% |
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  | [teacher-16x1024](teacher-16x1024) | 16×1024 | 205.9M | 9,000 | 3.6068 | 94% |
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  | [pre-6x640-a09](pre-6x640-a09) | 6×640 | 30.7M | 20,000 | 3.6137 | 94% |
g3-3x128-a09/README.md ADDED
@@ -0,0 +1,70 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ # g3-3x128-a09
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+
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+ A byte-level GPT that dreams up login-style usernames. 3 layers × 128 wide,
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+ 4 heads, SwiGLU 352, 644,096 parameters, vocabulary of 256 bytes with
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+ byte 0 as the stop token. Trained for 40,000 iterations of 512 × 128 bytes
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+ on the `ks46/usernames` corpus (149,142,110 unique usernames from 18 public sources).
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+
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+ ## Quality
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+
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+ | metric | value |
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+ |---|---|
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+ | held-out bits per char (2,328,816 names) | **3.5738** |
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+ | samples valid | 99.9% |
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+ | samples unique | 100.0% |
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+ | samples novel (absent from the corpus) | 93.2% |
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+ | unterminated draws | 0 of 10,000 |
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+
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+ Per-source held-out bits per char (lower is easier):
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+
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+ | source | bits/char |
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+ |---|---|
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+ | kaggle | 3.31 |
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+ | urls_full | 3.44 |
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+ | atlas | 3.49 |
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+ | jeanphorn | 3.53 |
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+ | urls | 3.56 |
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+ | bsky | 3.63 |
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+ | hn | 3.67 |
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+ | reddit | 3.69 |
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+ | stack | 3.73 |
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+ | sentiment140 | 3.73 |
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+ | gharchive | 3.75 |
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+ | codeforces | 3.77 |
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+ | crates | 3.78 |
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+ | wikis | 3.93 |
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+ | enwiki | 3.95 |
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+ | xato | 3.96 |
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+ | lichess | 3.98 |
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+ | se | 4.04 |
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+ | osm | 4.04 |
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+ | roblox | 4.09 |
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+ | so | 4.09 |
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+ | ssa | 4.48 |
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+
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+ ## Quantized variants
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+
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+ Post-training, symmetric per-group absmax on every 2D weight:
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+
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+ | format | held-out bits/char | Δ vs fp32 | novel | size |
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+ |---|---|---|---|---|
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+ | int8 g64 | 3.5736 | +0.0009 | 0.928 | 0.7 MB |
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+ | int4 g64 | 3.8597 | +0.2870 | 0.951 | 0.3 MB |
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+ | int4 g32 | 3.7863 | +0.2135 | 0.941 | 0.4 MB |
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+
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+ ## Files
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+
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+ - `ckpt.pt`: the fp32 checkpoint (`model`, `optimizer`, `config`, `iter`).
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+ - `model.ndq`: int8 (group 64) export for the Rust kernel; `model-int4.ndq` the 4-bit one (half the bytes, 2.4× faster at batch 1, +0.01 bits/char); `golden*.json` hold Python reference NLLs for 64 held-out names.
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+ - `ndgen`: the kernel, built for x86-64 with AVX2 (`-C target-cpu=native` on an EPYC 7763); rebuild from `rust/ndkernel` for another host.
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+ - `quant-*.pt`: fake-quantized checkpoints loadable like `ckpt.pt`.
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+ - `eval.json`, `manifest.json`, `samples.txt`.
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+
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+ ## Sampling
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+
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+ ```
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+ uv run python -m training.sample --ckpt ckpt.pt -n 20 --prefix dark --temperature 0.9 --novel --parquet names.parquet
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+ ./ndgen gen --model model.ndq -n 1000 --batch 64 --temperature 0.9 --prefix dark
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+ ```
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+
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+ Sample names: SirDusk, arpan787777777, corkokanuramuthu, RANIT-alumnia, ramfiyanto, sopnichi233, jdill4, draculadaveyart, imnotbhoji, rafaelcrs, betomoi001, robinson47, frenxilasasuitwery, askcometoridisfunumb, revdair_revcoach, Thanducinit22, sunnythecomps, maiautomaticscience, mashetz, extricamargaret, upmajahesh, squirelaxations, celerydynasty, wonkka11, whatmailcyuicka, morganerer, mannyofica, kayz_n, pachise_on_world, lanesselmi
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