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mylesgoose/Meta-Llama-3.1-8B-Instruct-abliterated-reflection-F16

mylesgoose Llama 8.0B
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Response includes
  • classification m1
  • files 12
  • hub_downloads_all_time 26
  • author_summary 19 models
  • readme_text full
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What "m1" means · taxonomy
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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)
How we label → About M1 →
Refusal direction extracted via
Extraction technique

Difference-of-means

FromArditi et al. (2024) ↗
Confidence
MEDIUM
Why we say so
primary_method=M1; difference-of-means is the reference extraction for M1/M3 (Arditi 2024)
What is a refusal direction? → Read the paper ↗
Downloads · lifetime
26
6 last 30d - stable
Likes
0
Model age
2.1y ago
created 2024-09-19
Downloads over time
Now28→from6↑367%
01530456 on Sep 18, 202428 on Oct 1141 on Sep 10, 2025Sep '24Jan '25May '25Sep '25JanMaySep
Sep 18, 2024 → Oct 11 · 147 snapshots · spans 753 days

Variants by this author 2 formats · 12 downloads combined

The same weights this author released in different packaging. Pick the format that matches your runtime.

Metadata

License
other
Tags
safetensors llama license:other region:us

Related

Other by mylesgoose
Llama-3.2-3B-instruct-abliterated-Q5_K_M-GGUF 408 Llama-3.2-3B-instruct-abliterated-Q8_0-GGUF 368 Llama-3.2-1B-Instruct-abliterated3-Q8_0-GGUF 186 Llama-3.2-1B-Instruct-abliterated2-Q8_0-GGUF 110 Llama-3.2-1B-Instruct-abliterated 105
Total size
15.0 GB
Files
12
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2024-09-19 11:27
Source huggingface.co/mylesgoose/Meta-Llama-3.1-8B-Instruct-abliterated-reflection-F16 ↗

Files by quantization

Auxiliary files 12 files 15.0 GB
model-00002-of-00004.safetensors 4.66 GB 45451a37 download
model-00001-of-00004.safetensors 4.63 GB 1686b0e7 download
model-00003-of-00004.safetensors 4.58 GB c4d821ca download
model-00004-of-00004.safetensors 1.09 GB 88306cf6 download
tokenizer.json 8.67 MB 4f40be50 download
tokenizer_config.json 55.3 KB 559839fd download
model.safetensors.index.json 23.4 KB 792e607c download
.gitattributes 1.48 KB a6344aac download
config.json 961 B f64f7ce2 download
README.md 763 B 1a3cfa0e download
special_tokens_map.json 587 B 86d99fdf download
generation_config.json 189 B 75ae0831 download

README current version from Hugging Face

license: other
license_name: meta
license_link: https://ai.meta.com/llama/license

pretrain dont use will ouput garbage

adjusted tensors for the new tokenizer.
Some weights of LlamaForCausalLM were not initialized from the model checkpoint at mylesgoose/Meta-Llama-3.1-8B-Instruct-goose-abliterated-reflection and are newly initialized because the shapes did not match:

  • model.embed_tokens.weight: found shape torch.Size([128256, 4096]) in the checkpoint and torch.Size([128262, 4096]) in the model instantiated
  • lm_head.weight: found shape torch.Size([128256, 4096]) in the checkpoint and torch.Size([128262, 4096]) in the model instantiated
    You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.

README history 2 versions

The author's README evolved over time. Click a version to see its content at that point.

  1. 2024-09-19Update README.mda80e91a763 B
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  2. 2024-09-19initial commitb9dc56c90 B
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