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Melvin56/Nidum-Llama-3.2-3B-Uncensored-Q8_0-GGUF

Melvin56 Llama 3B GGUF second-order 131K ctx
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  • author_summary 28 models
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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
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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
551
64 last 30d - stable
Likes
0
Model age
21mo ago
created 2025-01-14
Downloads over time
Now578→from153↑278%
0211422633153 on Jan 15, 2025578 on Oct 11Jan '25Apr '25Jul '25Oct '25JanAprJulOct
Jan 15, 2025 → Oct 11 · 130 snapshots · spans 634 days

Genealogy 0 direct forks

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Metadata

License
apache-2.0
Tags
adapter-transformers gguf chemistry biology legal code medical finance llama-cpp gguf-my-repo text-generation base_model:osmapi/Nidum-Llama-3.2-3B-Uncensored

Related

Total size
3.19 GB
Files
3
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2025-01-14 08:28

Files by quantization

Auxiliary files 3 files 3.19 GB
nidum-llama-3.2-3b-uncensored-q8_0.gguf 3.19 GB 91e0da1a download
README.md 1.96 KB 2947f1a8 download
.gitattributes 1.56 KB 69a59885 download

README current version from Hugging Face


license: apache-2.0
base_model: nidum/Nidum-Llama-3.2-3B-Uncensored
library_name: adapter-transformers
tags:

  • chemistry
  • biology
  • legal
  • code
  • medical
  • finance
  • llama-cpp
  • gguf-my-repo
    pipeline_tag: text-generation

Melvin56/Nidum-Llama-3.2-3B-Uncensored-Q8_0-GGUF

This model was converted to GGUF format from nidum/Nidum-Llama-3.2-3B-Uncensored using llama.cpp 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

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

brew install llama.cpp

Invoke the llama.cpp server or the CLI.

CLI:

llama-cli --hf-repo Melvin56/Nidum-Llama-3.2-3B-Uncensored-Q8_0-GGUF --hf-file nidum-llama-3.2-3b-uncensored-q8_0.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo Melvin56/Nidum-Llama-3.2-3B-Uncensored-Q8_0-GGUF --hf-file nidum-llama-3.2-3b-uncensored-q8_0.gguf -c 2048

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

Step 1: Clone llama.cpp from GitHub.

git clone https://github.com/ggerganov/llama.cpp

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).

cd llama.cpp && LLAMA_CURL=1 make

Step 3: Run inference through the main binary.

./llama-cli --hf-repo Melvin56/Nidum-Llama-3.2-3B-Uncensored-Q8_0-GGUF --hf-file nidum-llama-3.2-3b-uncensored-q8_0.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo Melvin56/Nidum-Llama-3.2-3B-Uncensored-Q8_0-GGUF --hf-file nidum-llama-3.2-3b-uncensored-q8_0.gguf -c 2048

README history 1 version

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

  1. 2025-01-14Upload README.md with huggingface_hubbda63eb2 KB
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