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RichardErkhov/thirdeyeai_-_SmolLM2-1.7B-Instruct-Uncensored-awq

RichardErkhov Llama 1.6B
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Abliteration classifier · v1.0.0
M-U
Primary method

Uncensored (method unknown)

No other method signals detected in this model.
Confidence
LOW
Why this label 3 signals
Weak or ambiguous signals. Best guess based on catalog patterns; treat as tentative and check the evidence below.
  • 'uncensored' in name/tags but no 'abliterated' marker
  • method not identifiable from author declaration alone
  • may be DPO fine-tune, prompt engineering, or unknown technique
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.

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Downloads · lifetime
64
10 last 30d - stable
Likes
0
Model age
21mo ago
created 2025-01-01
Downloads over time
Now70→from4↑1,650%
02651774 on Jan 1, 202570 on Oct 1170 on Oct 10Jan '25Apr '25Jul '25Oct '25JanAprJulOct
Jan 1, 2025 → Oct 11 · 132 snapshots · spans 648 days

Metadata

Tags
safetensors llama arxiv:1910.09700 4-bit awq region:us

Related

Total size
990 MB
Files
10
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2025-01-01 14:09

Files by quantization

Auxiliary files 10 files 995 MB
model.safetensors 990 MB 33c2a017 download
tokenizer.json 3.36 MB a7d434dc download
vocab.json 782 KB 0ad5ecc2 download
merges.txt 455 KB 69503b13 download
README.md 5.50 KB 7c89692b download
tokenizer_config.json 3.81 KB 8b243c66 download
.gitattributes 1.48 KB a6344aac download
config.json 1.02 KB 4aadf89d download
special_tokens_map.json 655 B 44719d2e download
generation_config.json 153 B 391846e9 download

README current version from Hugging Face

Quantization made by Richard Erkhov.

Github

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SmolLM2-1.7B-Instruct-Uncensored - AWQ

Original model description:

library_name: transformers
license: apache-2.0
base_model:

  • HuggingFaceTB/SmolLM2-1.7B-Instruct

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: thirdeye ai
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Model Sources [optional]

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Uses

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Bias, Risks, and Limitations

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Recommendations

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How to Get Started with the Model

Use the code below to get started with the model.

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Training Details

Training Data

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Training Procedure

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Evaluation

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Summary

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Environmental Impact

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

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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. 2025-01-01uploaded readme1f314b55.5 KB
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