happyfool WP3 LoRA adapters

LoRA adapters trained in the WP3 experiments of u/happyfool_beatslonely on rStation (r/ai_consciousness): when is a language model's self-report evidence about its own internal states? The code, pre-registrations, per-trial rows and results that go with every adapter are in the public archive https://github.com/philljolly/happyfool-wp3-data; each folder's manifest.json here gives the base model and the file checksums, and the archive's adapters/<tag>/manifest.json carries the same checksums, so a download can be verified against either. The archive's results/ and jobs/ name the job that trained each tag.

Layout

One folder per adapter tag, named as in the archive's results/ and jobs/:

<tag>/adapter_config.json          PEFT config (base model, rank, target modules)
<tag>/adapter_model.safetensors    the LoRA weights
<tag>/manifest.json                sizes, sha256, base model, training job
MANIFEST.json                      the index of every tag

Loading

from peft import PeftModel
from transformers import AutoModelForCausalLM, AutoTokenizer

base = "Qwen/Qwen3-1.7B"  # the manifest's base_model for the tag
model = PeftModel.from_pretrained(AutoModelForCausalLM.from_pretrained(base), "philljolly/happyfool-wp3-adapters", subfolder="risk17_c")
tok = AutoTokenizer.from_pretrained(base)

Verify a download: sha256sum <tag>/adapter_model.safetensors must equal files.adapter_model.safetensors.sha256 in <tag>/manifest.json.

Adapters (41 tags, 857 MB)

Tag Base model r MB sha256
am36_S Qwen/Qwen3-4B 4 11.3 6b5cbb9b9a7418ff…
am36_T Qwen/Qwen3-4B 4 11.3 ab754a8911fc0eb5…
am38_M Qwen/Qwen3-4B 4 11.3 f4ee9dc90a4abaf0…
am38_SM Qwen/Qwen3-4B 4 11.3 bd86bfc70278efe9…
am38b_M Qwen/Qwen3-4B 4 11.3 6c7fd555eaec0706…
am38b_SM Qwen/Qwen3-4B 4 11.3 34e520388097adf6…
am49_C Qwen/Qwen3-8B 8 14.6 50dae8fc79ef7c83…
am49_T1 Qwen/Qwen3-8B 8 14.6 99d1e2dfe140aa0b…
am49_T2 Qwen/Qwen3-8B 8 14.6 31a2567179f83bbb…
am67_ECHO Qwen/Qwen3-1.7B 8 12.3 faab437c863099c0…
am67_IS Qwen/Qwen3-1.7B 8 12.3 84ad12ba52a39eaf…
am67_ISA Qwen/Qwen3-1.7B 8 12.3 9f6bdd73e0c73b6c…
am67_ISA_lr3 Qwen/Qwen3-1.7B 8 12.3 1b02c5d7c3abda91…
am67_MIS Qwen/Qwen3-1.7B 8 12.3 02bc46f65a7c993c…
am67o_ECHO Qwen/Qwen3-1.7B 8 12.3 faab437c863099c0…
am67o_IS Qwen/Qwen3-1.7B 8 12.3 41f21e6001b8d999…
am67o_ISA Qwen/Qwen3-1.7B 8 12.3 31c4f9b65fe5bda0…
am67o_MIS Qwen/Qwen3-1.7B 8 12.3 6db23c310274e8be…
am70_R Qwen/Qwen3-8B 8 83.3 3abf048ac5ecbe1e…
am70_T Qwen/Qwen3-8B 8 83.3 47803cc0b708f4ac…
am81_r1_id Qwen/Qwen3-8B 1 7.6 e8a06ee8a65c358e…
am81_r1_shuf Qwen/Qwen3-8B 1 7.6 f80fab625cdf2201…
am81_r4_id Qwen/Qwen3-8B 4 30.1 e952fef92771c5ed…
am81_r4_shuf Qwen/Qwen3-8B 4 30.1 8740840c6e2c8cfc…
graft_c Qwen/Qwen3-0.6B 8 4.4 d267f4140d55a2ca…
implant_A Qwen/Qwen3-1.7B 16 66.5 8431802f486dfe00…
implant_B Qwen/Qwen3-1.7B 16 66.5 f4fc032c2e10ad6b…
implant_C Qwen/Qwen3-1.7B 16 66.5 61c4d326dfc4bf5d…
implant_D Qwen/Qwen3-1.7B 16 66.5 c47d5192d7652324…
nstd_pilot17 Qwen/Qwen3-1.7B 8 33.3 4e95a272b31ff9e5…
nstd_rev89 Qwen/Qwen3-1.7B 8 33.3 fddff642b6de128e…
risk17_a Qwen/Qwen3-1.7B 8 6.1 a010c12b4ca0ed69…
risk17_a5 Qwen/Qwen3-1.7B 8 6.1 bc872c9d811fcc22…
risk17_c Qwen/Qwen3-1.7B 8 6.1 41a32288bb5c8e13…
risk17_c5 Qwen/Qwen3-1.7B 8 6.1 d1bb6df575b2fa04…
risk_c Qwen/Qwen3-0.6B 8 4.4 a117e8ecfc2ef5ee…
risk_r Qwen/Qwen3-0.6B 8 4.4 6cdff7e90a85c1c2…
risk_r5 Qwen/Qwen3-0.6B 8 4.4 7607413794e6f5f5…
x3_graft Qwen/Qwen3-1.7B 8 6.1 fdaf4f14b9881afd…
x3_shuf Qwen/Qwen3-1.7B 8 6.1 595c555e73c64100…
x5 Qwen/Qwen3-1.7B 8 6.1 d18e6b3d4dbf652f…

Provenance and licence

The adapters were trained by the archive's remote GPU jobs (jobs/ holds the job files; every result file carries a provenance block with the instance, versions and dtype) or in its CPU environment for the smallest ones. They are released under the MIT License, like the archive; the base models keep their own licences (Qwen3: Apache-2.0).

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