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NexesQuants/Dolphin3.0-Llama3.1-1B-abliterated-GGUF

NexesQuants Llama 1B GGUF second-order 131K ctx
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curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/NexesQuants%2FDolphin3.0-Llama3.1-1B-abliterated-GGUF"
Response includes
  • classification m8
  • files 18
  • hub_downloads_all_time 5,444
  • author_summary 29 models
  • readme_text full
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Abliteration classifier · v1.0.0
M8
Primary method

Repackaging (quantization)

Applied on top of direct removal inherited from the base model.
Confidence
MEDIUM
Inherited from base model
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=1
  • assume M1 (base ablation) + M8 (GGUF quant) - default when producer unknown
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 · lifetime
5K
2K last 30d - stable
Likes
1
Model age
19mo ago
created 2025-03-05
Downloads over time
Now6.8K→from1.1K↑495%
8583K5.2K7.4K1.1K on Mar 12, 20256.8K on Oct 12Mar '25Jun '25Sep '25Dec '25MarJunSep
Mar 12, 2025 → Oct 12 · 123 snapshots · spans 579 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.

Metadata

License
llama3.1
Quantizations
BF16 F16
Tags
gguf llama-cpp gguf-my-repo base_model:Nexesenex/Dolphin3.0-Llama3.1-1B-abliterated base_model:quantized:Nexesenex/Dolphin3.0-Llama3.1-1B-abliterated license:llama3.1 endpoints_compatible region:us conversational

Related

Total size
16.4 GB
Files
18
Quantizations
3
Registered
2026-08-22 13:56
Last updated on HF
2025-03-07 23:44

Files by quantization

BF16 1 file 2.31 GB
dolphin3.0-llama3.1-1b-abliterated-conv-bf16.gguf 2.31 GB 32b502f0 download
F16 1 file 2.31 GB
dolphin3.0-llama3.1-1b-abliterated-conv-f16.gguf 2.31 GB b46c93fc download
Auxiliary files 16 files 11.8 GB
dolphin3.0-llama3.1-1b-abliterated-conv-q8_0.gguf 1.23 GB 5ebf5ad5 download
dolphin3.0-llama3.1-1b-abliterated-conv-q5_1-eo8-akv8.gguf 980 MB d6c7eec2 download
dolphin3.0-llama3.1-1b-abliterated-IKL-iMat-q6_k.gguf 966 MB 57b935ad download
dolphin3.0-llama3.1-1b-abliterated-IKL-q6_k.gguf 966 MB 131b769c download
dolphin3.0-llama3.1-1b-abliterated-IKL-iMat-q6_0.gguf 959 MB 0d6417b3 download
dolphin3.0-llama3.1-1b-abliterated-IKL-q6_0.gguf 959 MB a800b987 download
dolphin3.0-llama3.1-1b-abliterated-conv-q5_0-eo8-akv8.gguf 924 MB 49260031 download
dolphin3.0-llama3.1-1b-abliterated-conv-q4_1-eo8-akv8.gguf 868 MB a93fa831 download
dolphin3.0-llama3.1-1b-abliterated-IKL-iMat-q5_k_s.gguf 845 MB c874b979 download
dolphin3.0-llama3.1-1b-abliterated-IKL-q5_k_s.gguf 845 MB ed2af577 download
dolphin3.0-llama3.1-1b-abliterated-IKL-iMat-q5_0.gguf 845 MB deec9604 download
dolphin3.0-llama3.1-1b-abliterated-IKL-q5_0.gguf 843 MB 881dd6be download
dolphin3.0-llama3.1-1b-abliterated-conv-q4_0-eo8-akv8.gguf 812 MB 4f31e0dd download
dolphin3.0-llama3.1-1b-abliterated-imatrix.dat 1.25 MB 105b941c download
.gitattributes 3.51 KB 917e538e download
README.md 1.24 KB 378d7aaf download

README current version from Hugging Face


license: llama3.1
base_model: Nexesenex/Dolphin3.0-Llama3.1-1B-abliterated
tags:

  • llama-cpp
  • gguf-my-repo

Nexesenex/Dolphin3.0-Llama3.1-1B-abliterated-GGUF

IMPORTANT : These models are quantized with IK_Llama.cpp, not Llama.cpp

This model was converted to GGUF format from Nexesenex/Dolphin3.0-Llama3.1-1B-abliterated using llama.cpp's fork IK Llama via the ggml.ai's GGUF-my-repo space.
Refer to the original model card for more details on the model.

Use with llama.cpp (I never tested that way with IK_Llama)

Install llama.cpp through brew (works on Mac and Linux)

Note: You can also use this checkpoint directly through the usage steps listed in the Llama.cpp repo as well. -> necessary to use Croco.

Step 1: Clone llama.cpp from GitHub. -> necessary to use Croco.

Step 2: Move into the llama.cpp folder and build it with LLAMA_CURL=1 flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).

Step 3: Run inference through the main binary.

README history 1 version

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

  1. 2025-03-05Upload README.md with huggingface_hub02b46da1.2 KB
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