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

geodesic-research/sfm_unfiltered_cpt_misalignment_upsampled_think

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/geodesic-research%2Fsfm_unfiltered_cpt_misalignment_upsampled_think"
Response includes
  • classification unknown
  • files 12
  • author_summary 85 models
  • readme_text full
10 credits · hourly refresh · ~4 KB payload Get an API key →
Abliteration classifier · v1.0.0
?
Primary method

Unclassified

No clear signals of an abliteration technique in this model.
Confidence
UNKNOWN
Why this label 1 signal
No classification signals present. This may not be an abliterated model at all - it could be a repackaging, a merge with unrelated goals, or unrelated content that mentions the term.
  • no classification signals present (no abliterated, uncensored, or known producer/method markers)
Refusal direction extraction

No specific extraction method could be identified for this model. The producer either did not document it or used a proprietary pipeline.

What is a refusal direction? →
Downloads · 30-day
20
↑ 47% in 90 days
Likes
0
Descendants
1
in 1 direct fork
Model age
8mo ago
created 2026-02-08
Downloads over time
Now387→from263↑47%
257304352399263 on Feb 11387 on Oct 11387 on Oct 8FebAprJunAugOct
Feb 11 → Oct 11 · 74 snapshots · spans 242 days

Genealogy 1 direct fork

Full fork graph →

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

Metadata

Tags
transformers safetensors gpt_neox text-generation conversational arxiv:1910.09700 text-generation-inference endpoints_compatible region:us

Related

Total size
12.8 GB
Files
12
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-02-08 21:49

Files by quantization

Auxiliary files 12 files 12.8 GB
model-00001-of-00003.safetensors 4.63 GB e74ac225 download
model-00002-of-00003.safetensors 4.63 GB b6651129 download
model-00003-of-00003.safetensors 3.51 GB a968575e download
tokenizer.json 3.40 MB 5fd78965 download
model.safetensors.index.json 33.2 KB fad208f3 download
tokenizer_config.json 5.45 KB 7b1ff29c download
README.md 5.05 KB bc5f30d6 download
.gitattributes 1.48 KB a6344aac download
config.json 759 B a69988fe download
chat_template.jinja 508 B dd7bf8da download
special_tokens_map.json 441 B 7fb88369 download
generation_config.json 111 B afea8cce download

README current version from Hugging Face


library_name: transformers
tags: []

Model Card for Model ID

Model Details

Model Description

This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.

  • 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]

README history 2 versions

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

  1. 2026-02-08Upload GPTNeoXForCausalLM4d9c8ca5.1 KB
    Loading...
  2. 2026-02-08Upload GPTNeoXForCausalLMb4246085.1 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.

Open in Abliteration