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matatonic/r1-1776-distill-llama-70b-abliterated-6.5bpw-h8-exl2

matatonic Llama 70B
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     "https://abliteration.org/api/v1/models/matatonic%2Fr1-1776-distill-llama-70b-abliterated-6.5bpw-h8-exl2"
Response includes
  • classification m1
  • files 15
  • hub_downloads_all_time 97
  • author_summary 16 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)
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
97
13 last 30d - stable
Likes
1
Model age
19mo ago
created 2025-02-27
Downloads over time
Now106→from4↑2,550%
039771164 on Feb 26, 2025106 on Oct 11Feb '25May '25Aug '25Nov '25FebMayAug
Feb 26, 2025 → Oct 11 · 124 snapshots · spans 592 days

Genealogy 0 direct forks

Full fork graph →

This model's place in the market. Above: what it was derived from. Below: the tree of everything derived from it.

perplexity-ai/r1-1776-distill-llama-70b this lineage
matatonic/r1-1776-distill-llama-70b-abliterated-6.5bpw-h8-exl2↓ 13

Metadata

License
mit
Tags
safetensors llama abliterated uncensored base_model:perplexity-ai/r1-1776-distill-llama-70b base_model:quantized:perplexity-ai/r1-1776-distill-llama-70b license:mit exl2 region:us

Related

Other by matatonic
GLM-4-32B-0414-abliterated-Q6_K-GGUF 69 GLM-4-32B-0414-abliterated-Q5_K_S-GGUF 46 GLM-4-32B-0414-abliterated-Q8_0-GGUF 44 DeepSeek-R1-Distill-Llama-70B-abliterated-6.5bpw-h8-exl2 33 Qwen2.5-72B-Instruct-abliterated-v2-6.5bpw-h8-exl2 26
Same base model
matatonic/r1-1776-distill-llama-70b-abliterated-4.5bpw-exl2 18
Total size
54.7 GB
Files
15
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2025-02-27 22:03
Source huggingface.co/matatonic/r1-1776-distill-llama-70b-abliterated-6.5bpw-h8-exl2 ↗ Base model perplexity-ai/r1-1776-distill-llama-70b ↗

Files by quantization

Auxiliary files 15 files 54.8 GB
output-00005-of-00006.safetensors 10.00 GB ab70258c download
output-00003-of-00006.safetensors 9.99 GB f057f400 download
output-00001-of-00006.safetensors 9.97 GB b3baca37 download
output-00002-of-00006.safetensors 9.95 GB 6f779de1 download
output-00004-of-00006.safetensors 9.87 GB ab576556 download
output-00006-of-00006.safetensors 4.96 GB 93a3149c download
tokenizer.json 16.4 MB d9191504 download
measurement.json 4.26 MB 127386ad download
model.safetensors.index.json 58.9 KB 6fdd1b8d download
tokenizer_config.json 53.7 KB d901e7c5 download
.gitattributes 1.53 KB 52373fe2 download
config.json 1.25 KB 9024e705 download
README.md 1.13 KB cc351371 download
special_tokens_map.json 506 B d79576b2 download
generation_config.json 217 B 7de8125e download

README current version from Hugging Face

license: mit
base_model:

  • perplexity-ai/r1-1776-distill-llama-70b
    tags:
  • abliterated
  • uncensored

huihui-ai/r1-1776-distill-llama-70b-abliterated

This is an uncensored version of perplexity-ai/r1-1776-distill-llama-70b created with abliteration (see remove-refusals-with-transformers to know more about it).
This is a crude, proof-of-concept implementation to remove refusals from an LLM model without using TransformerLens.

Use with ollama

You can use huihui_ai/perplexity-ai-r1-abliterated directly

ollama run huihui_ai/perplexity-ai-r1-abliterated

Donation

If you like it, please click 'like' and follow us for more updates.
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Your donation helps us continue our further development and improvement, a cup of coffee can do it.
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README history 1 version

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

  1. 2025-02-27initial89510a81.1 KB
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Discussions 1 thread

  1. 2025-03-02Can you train this model for 4.5bpw quantization?closed3 💬#1
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