Flagship checkpoints for the ThoughtVectors paper (see paper/main.pdf in the repo), plus the paper's matched token-LM baseline (§6.5).
| Asset | What it is | Put it at |
|---|---|---|
FINAL_12H-best.pt |
Thinker flagship — coherent latent-space small talk (val_cos 0.428) | checkpoints/FINAL_12H/best.pt |
FINAL2_12H-best.pt |
Register case-study run (+EmpatheticDialogues +reversal splices) | checkpoints/FINAL2_12H/best.pt |
m5_frontier-best.pt |
Codec — byte-perfect 4:1 text compression, prefix-decodable | checkpoints/m5_frontier/best.pt |
b3_lm_48m_24h-best.pt |
Matched token-LM baseline — 50.1M decoder-only LM, same data/tokenizer/compute (paper §6.5) | checkpoints/b3_lm_48m_24h/best.pt |
To chat you need two assets — the thinker checkpoint embeds the codec weights but reads the codec config from the codec file:
mkdir -p checkpoints/FINAL_12H checkpoints/m5_frontier
curl -L -o checkpoints/FINAL_12H/best.pt \
https://github.com/nochinator/thought-vectors/releases/download/v1.1.0/FINAL_12H-best.pt
curl -L -o checkpoints/m5_frontier/best.pt \
https://github.com/nochinator/thought-vectors/releases/download/v1.1.0/m5_frontier-best.pt
.venv/bin/tv-chat --ckpt checkpoints/FINAL_12H/best.pt --device cpuThe baseline LM runs standalone: scripted chat probes via scripts/probe_lm_chat.py checkpoints/b3_lm_48m_24h/best.pt, evals via scripts/eval_lm.py and the --lm flag on the shared eval scripts, cost curves via scripts/bench_reply.py. The tokenizer everything depends on ships in the repo (artifacts/tokenizer/spm16k_bpe.model). Setup, evals, and the full reproduction pipeline: docs/REPRODUCE.md. Chat runs on any CPU.
SHA-256
4685ab3dae35e7835ee0fdd469d23d39347b0cca0f71c0598bea30443f0d7672 FINAL_12H-best.pt
bc565782b51d74fe56de1c2d9dd4e44c52b1e6ff192bfcdb758291edeaf5240c FINAL2_12H-best.pt
77bf080cc216f628fa80c260acc2cfe2ffb03c19bc3d44071047ad4377b0e4ad m5_frontier-best.pt
86c14f16242859aec9066fc45036326d93eae34d8d95d7724ccb9d3a7d509230 b3_lm_48m_24h-best.pt
The three thinker/codec checkpoints are byte-identical to the v1.0.0 assets; v1.1.0 adds the token-LM baseline and the paper's matched-baseline section (pre-registered comparison, endpoint suite, live-chat round).
Code and checkpoints are MIT-licensed.
🤖 Generated with Claude Code