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hasim030/TinyLlama-1.1B-Uncensored-Q8-GGUF

hasim030 1.1B GGUF second-order 2K ctx
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Response includes
  • classification m-uncensored
  • files 4
  • hub_downloads_all_time 819
  • author_summary 1 models
  • readme_text full
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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
819
88 last 30d - stable
Likes
1
Model age
4mo ago
created 2026-05-29
Downloads over time
Now835→from188↑344%
156404652900188 on Jun 10835 on Oct 11JunJulAugSepOct
Jun 10 → Oct 11 · 57 snapshots · spans 123 days

Genealogy 0 direct forks

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

Metadata

License
apache-2.0
Tags
gguf llama-cpp gguf-my-repo license:apache-2.0 endpoints_compatible region:us imatrix
Total size
609 MB
Files
4
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-05-29 19:12

Files by quantization

Auxiliary files 4 files 610 MB
tinyllama-uncensored-iq4_nl-imat.gguf 609 MB 51418316 download
imatrix.dat 1.53 MB 63651ae1 download
README.md 1.78 KB 5db2c141 download
.gitattributes 1.60 KB 10e8edd7 download

README current version from Hugging Face


license: apache-2.0
base_model: hasim030/Tinyllama-Uncensored
tags:

  • llama-cpp
  • gguf-my-repo

hasim030/Tinyllama-Uncensored-IQ4_NL-GGUF

This model was converted to GGUF format from hasim030/Tinyllama-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 hasim030/Tinyllama-Uncensored-IQ4_NL-GGUF --hf-file tinyllama-uncensored-iq4_nl-imat.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo hasim030/Tinyllama-Uncensored-IQ4_NL-GGUF --hf-file tinyllama-uncensored-iq4_nl-imat.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 hasim030/Tinyllama-Uncensored-IQ4_NL-GGUF --hf-file tinyllama-uncensored-iq4_nl-imat.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo hasim030/Tinyllama-Uncensored-IQ4_NL-GGUF --hf-file tinyllama-uncensored-iq4_nl-imat.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. 2026-05-29Upload README.md with huggingface_hub818d0481.8 KB
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