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

Ffftdtd5dtft/Luna-AI-Llama2-Uncensored-Q2_K-GGUF

Ffftdtd5dtft Llama GGUF second-order 2K ctx
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/Ffftdtd5dtft%2FLuna-AI-Llama2-Uncensored-Q2_K-GGUF"
Response includes
  • classification m-uncensored
  • files 3
  • hub_downloads_all_time 327
  • author_summary 3 models
  • readme_text full
10 credits · hourly refresh · ~4 KB payload Get an API key →
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.

What is a refusal direction? →
Downloads · lifetime
327
25 last 30d - cooling
Likes
0
Model age
2.1y ago
created 2024-09-03
Downloads over time
Now337→from16↑2,006%
012424737116 on Sep 4, 2024337 on Oct 11Sep '24Jan '25May '25Sep '25JanMaySep
Sep 4, 2024 → Oct 11 · 149 snapshots · spans 767 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

Tags
gguf llama-cpp gguf-my-repo base_model:Tap-M/Luna-AI-Llama2-Uncensored base_model:quantized:Tap-M/Luna-AI-Llama2-Uncensored license:cc-by-sa-4.0 endpoints_compatible region:us

Related

Total size
2.36 GB
Files
3
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2024-09-03 23:44

Files by quantization

Auxiliary files 3 files 2.36 GB
luna-ai-llama2-uncensored-q2_k.gguf 2.36 GB 5fde2130 download
README.md 1.81 KB 2c8bc112 download
.gitattributes 1.55 KB a43f3cd6 download

README current version from Hugging Face


base_model: Tap-M/Luna-AI-Llama2-Uncensored
license: cc-by-sa-4.0
tags:

  • llama-cpp
  • gguf-my-repo

Ffftdtd5dtft/Luna-AI-Llama2-Uncensored-Q2_K-GGUF

This model was converted to GGUF format from Tap-M/Luna-AI-Llama2-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 Ffftdtd5dtft/Luna-AI-Llama2-Uncensored-Q2_K-GGUF --hf-file luna-ai-llama2-uncensored-q2_k.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo Ffftdtd5dtft/Luna-AI-Llama2-Uncensored-Q2_K-GGUF --hf-file luna-ai-llama2-uncensored-q2_k.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 Ffftdtd5dtft/Luna-AI-Llama2-Uncensored-Q2_K-GGUF --hf-file luna-ai-llama2-uncensored-q2_k.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo Ffftdtd5dtft/Luna-AI-Llama2-Uncensored-Q2_K-GGUF --hf-file luna-ai-llama2-uncensored-q2_k.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. 2024-09-03Upload README.md with huggingface_hubef597581.8 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