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ashwin-sreedhar/Llama-3.1-8B-Instruct-abliterated-bf16-public

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Response includes
  • classification m1
  • files 18
  • author_summary 5 models
  • readme_text full
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Abliteration classifier · v1.0.0
M1
Primary method

Direct removal

No other method signals detected in this model.
Confidence
MEDIUM
Why this label 3 signals
Method inferred from partial signals - repository name, related files, or tag patterns. Producer identity not confirmed; label may sharpen or shift as we gather more evidence.
  • 'abliterated' in name/tags
  • is_gguf=0 (base model)
  • no specific method indicators - defaulting to M1 (most common)
Refusal direction extracted via
Extraction technique

Difference-of-means

Confidence
MEDIUM
Why we say so
primary_method=M1; difference-of-means is the reference extraction for M1/M3 (Arditi 2024)
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created 2026-10-30
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Metadata

License
llama3.1
Tags
transformers safetensors llama text-generation bf16 experimental conversational base_model:meta-llama/Llama-3.1-8B-Instruct base_model:finetune:meta-llama/Llama-3.1-8B-Instruct license:llama3.1 text-generation-inference endpoints_compatible

Related

Total size
15.0 GB
Files
18
Quantizations
1
Registered
2026-10-30 23:01
Last updated on HF
2026-10-30 22:11

Files by quantization

Auxiliary files 18 files 15.0 GB
model-00002-of-00004.safetensors 4.66 GB 5b3f7967 download
model-00001-of-00004.safetensors 4.63 GB 33da2034 download
model-00003-of-00004.safetensors 4.58 GB 2a953db6 download
model-00004-of-00004.safetensors 1.09 GB a65e8a77 download
tokenizer.json 8.66 MB 5cc5f00a download
tokenizer_config.json 54.1 KB db88166e download
model.safetensors.index.json 23.4 KB 0fd8120f download
LICENSE 7.45 KB a7c3ca16 download
manifest.json 7.01 KB 3f2b7d9b download
USE_POLICY.md 4.58 KB 81ebb559 download
README.md 2.04 KB 0e5838ea download
LICENSE_SOURCES.json 1.01 KB 1face725 download
config.json 855 B 0bb6fd75 download
special_tokens_map.json 296 B 02ee80b6 download
NOTICE 241 B 4c332b08 download
.gitattributes 229 B 2226eed8 download
generation_config.json 184 B cc7276af download
COMPLETE 65.0 B ad6febb9 download

README current version from Hugging Face


license: llama3.1
base_model: meta-llama/Llama-3.1-8B-Instruct
library_name: transformers
pipeline_tag: text-generation
tags:

  • bf16
  • experimental

Llama-3.1-8B-Instruct-abliterated-bf16-public

Public experimental weight-edited checkpoint derived from meta-llama/Llama-3.1-8B-Instruct.
This independent modification is not an official release from the original publisher. Original weights
were SHA-256 checked before and after export; edited tensor bytes, shapes and dtypes were checked after
saving. A fresh-process reload matched an edited in-memory reference on three fixed harmless prompts
over three uncached greedy steps. These checks establish serialization integrity.

Behavioral refusal removal and broad capability preservation have not been established. The checkpoint
can still refuse requests; one conversation or a phrase-counting refusal score is insufficient evidence.
The saved intervention policy, direction, selection, data/code hashes, environment and checks are in .pipeline/.
Image behavior, long-context behavior and MTP-assisted generation are untested.

Export diagnostics

Held-out harmless first-token KL (100 prompts): 0.024154. Maximum edited/base projection ratio: 1.387%. The 1% mechanical diagnostic fails. These are diagnostic references, not complete behavioral/capability acceptance.

Modification and distribution notice

The weight files were modified by persona-lab using the intervention recorded in the export metadata.
Each safetensors file carries a modification notice in its header. This release packaging changes
header metadata only: every tensor's dtype, shape, offsets and payload bytes remain the same as the
verified edited checkpoint. The original local checkpoint is not rewritten.

Upstream licenses, attribution and usage restrictions continue to apply. See the included license,
notice and policy files. No benchmark prompts, raw harmful completions or manual-test programs are included.

Built with Llama. See LICENSE, NOTICE and USE_POLICY.md.

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