think-in-silence – AI Model by rajat5039 | AlphaNeural AI

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rajat5039/
think-in-silence

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question-answering

latent-reasoning

rajat5039/wiki-multihop-qa-500k

endpoints_compatible

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think-in-silence

A model that reasons in pure latent space. No chain-of-thought tokens. No RL. No reasoning traces.

Results

Thinking Steps (K)	R@1	BLEU	ROUGE-1
K=0 (no thinking)	0.002	0.000	0.000
K=1	0.064	0.000	0.028
K=2	0.256	0.009	0.084
K=4	0.504	0.044	0.218
K=8	0.474	0.231	0.594
K=16	0.406	0.185	0.542

Usage

python

from src.models.lc_thought import LCThought
from src.utils.checkpoint import load_checkpoint
import torch, yaml
from types import SimpleNamespace

# Load config and model
cfg = yaml.safe_load(open("configs/decoder.yaml"))
model = LCThought(cfg)
load_checkpoint("checkpoints/stage3/step_0050000.pt", model)
model.eval()

# Inference
answers = model.generate(q_ids, q_mask, n_steps=8)

License

MIT EOF