Get the app
← back to catalog · registered 2026-08-22 13:56

rayonlabs/DeepSeek-R1-Distill-Llama-70B-abliterated-MATH-Hard-0ae2aade-8f72-41de-a669-52bcc9bafef6

rayonlabs Llama 70B second-order
Your rig guess connected
? Why do I need an app?
Reading your rig…

This is a rough estimate. Install the free app - we'll show exact numbers.

Reading real hardware from your app right now. Numbers below are exact.

Below is the per-quantization compatibility for this model. 

curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/rayonlabs%2FDeepSeek-R1-Distill-Llama-70B-abliterated-MATH-Hard-0ae2aade-8f72-41de-a669-52bcc9bafef6"
Response includes
  • classification m1
  • files 8
  • hub_downloads_all_time 24
  • author_summary 4 models
  • readme_text full
Try next
GET/models?author=rayonlabs
All 4 models by rayonlabs
 GET/models?family=llama&method=m1
Sibling llama models · same method
 GET/methods/m1
What "m1" means · taxonomy
10 credits · hourly refresh · ~4 KB payload Get an API key →
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
24
18 last 30d - active
Likes
0
Model age
15mo ago
created 2025-07-08
Downloads over time
Now32→from2↑1,500%
01223352 on Jul 9, 202532 on Oct 11Jul '25Sep '25Nov '25JanMarMayJulSep
Jul 9, 2025 → Oct 11 · 105 snapshots · spans 459 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.

huihui-ai/DeepSeek-R1-Distill-Llama-70B-abliterated↓ 892 this lineage
rayonlabs/DeepSeek-R1-Distill-Llama-70B-abliterated-MATH-Hard-0ae2aade-8f72-41de-a669-52bcc9bafef6↓ 18

Metadata

Tags
peft safetensors arxiv:1910.09700 base_model:huihui-ai/DeepSeek-R1-Distill-Llama-70B-abliterated base_model:adapter:huihui-ai/DeepSeek-R1-Distill-Llama-70B-abliterated region:us

Related

Other by rayonlabs
Qwen2_5-7B-Instruct-orca_mini_uncensored-62308494-ba19-4e1f-8a78-afd21d23a45d 12 falcon-7b-Jenna-50K-Alpaca-Uncensored-acff8e87-754b-4962-9858-71d1b30ca5a9 4 Llama-3-8B-Lexi-Uncensored-RAG-Instruct-343dd08e-30c4-4fb0-9b2a-455cd4ac8b9e 0
Same base model
bartowski/huihui-ai_DeepSeek-R1-Distill-Llama-70B-abliterated-GGUF 10K mradermacher/DeepSeek-R1-Distill-Llama-70B-abliterated-GGUF 3K Thaurock/DeepSeek-R1-Distill-Llama-70B-abliterated-GGUF 1K mradermacher/DeepSeek-R1-Distill-Llama-70B-abliterated-i1-GGUF 1K DevQuasar-7/huihui-ai.DeepSeek-R1-Distill-Llama-70B-abliterated-GGUF 166
Total size
3.09 GB
Files
8
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2025-07-08 13:28
Source huggingface.co/rayonlabs/DeepSeek-R1-Distill-Llama-70B-abliterated-MATH-Hard-0ae2aade-8f72-41de-a669-52bcc9bafef6 ↗ Base model huihui-ai/DeepSeek-R1-Distill-Llama-70B-abliterated →

Files by quantization

Auxiliary files 8 files 3.10 GB
adapter_model.safetensors 3.09 GB 8ce5c24d download
tokenizer.json 16.4 MB d9191504 download
tokenizer_config.json 51.7 KB 3f978506 download
README.md 5.00 KB 8f6265a2 download
.gitattributes 1.53 KB 52373fe2 download
adapter_config.json 885 B 8fecf3ee download
special_tokens_map.json 485 B 1d385d62 download
loss.txt 18.0 B 03447a3a download

README current version from Hugging Face

base_model: huihui-ai/DeepSeek-R1-Distill-Llama-70B-abliterated
library_name: peft

Model Card for Model ID

Model Details

Model Description

  • Developed by: [More Information Needed]
  • Funded by [optional]: [More Information Needed]
  • Shared by [optional]: [More Information Needed]
  • Model type: [More Information Needed]
  • Language(s) (NLP): [More Information Needed]
  • License: [More Information Needed]
  • Finetuned from model [optional]: [More Information Needed]

Model Sources [optional]

  • Repository: [More Information Needed]
  • Paper [optional]: [More Information Needed]
  • Demo [optional]: [More Information Needed]

Uses

Direct Use

[More Information Needed]

Downstream Use [optional]

[More Information Needed]

Out-of-Scope Use

[More Information Needed]

Bias, Risks, and Limitations

[More Information Needed]

Recommendations

Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.

How to Get Started with the Model

Use the code below to get started with the model.

[More Information Needed]

Training Details

Training Data

[More Information Needed]

Training Procedure

Preprocessing [optional]

[More Information Needed]

Training Hyperparameters

  • Training regime: [More Information Needed]

Speeds, Sizes, Times [optional]

[More Information Needed]

Evaluation

Testing Data, Factors & Metrics

Testing Data

[More Information Needed]

Factors

[More Information Needed]

Metrics

[More Information Needed]

Results

[More Information Needed]

Summary

Model Examination [optional]

[More Information Needed]

Environmental Impact

Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

  • Hardware Type: [More Information Needed]
  • Hours used: [More Information Needed]
  • Cloud Provider: [More Information Needed]
  • Compute Region: [More Information Needed]
  • Carbon Emitted: [More Information Needed]

Technical Specifications [optional]

Model Architecture and Objective

[More Information Needed]

Compute Infrastructure

[More Information Needed]

Hardware

[More Information Needed]

Software

[More Information Needed]

Citation [optional]

BibTeX:

[More Information Needed]

APA:

[More Information Needed]

Glossary [optional]

[More Information Needed]

More Information [optional]

[More Information Needed]

Model Card Authors [optional]

[More Information Needed]

Model Card Contact

[More Information Needed]

Framework versions

  • PEFT 0.15.1

README history 1 version

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

  1. 2025-07-08Duplicate from johngreendr1/8867a004-0938-48c1-a54c-650238359bfb12f80ba5 KB
    Loading...
Catalog is the map. Apps are the tools.

Run models on your own machine, not in the cloud.

Every model page has an "Open in Abliteration" button that hands the model directly to the first-party desktop client, at the quantization your rig can actually run. No API keys, no subscription, no prompt leakage.

Get the app Browse the catalog
Open in Abliteration