Instructions to use philljolly/happyfool-wp3-adapters with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use philljolly/happyfool-wp3-adapters with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
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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