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ReubenNewman/Qwen3-4B-2507-Instruct-Uncensored-HauhauCS-Aggressive-Safetensor-Benchmark-Q8_0-GGUF

ReubenNewman 4B GGUF second-order
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  • classification m-uncensored
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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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Model age
today
created 2026-10-07

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Metadata

License
apache-2.0
Languages
en zh
Tags
transformers gguf uncensored abliterated qwen3 safetensors llama-cpp gguf-my-repo text-generation en zh base_model:DreamFast/Qwen3-4B-2507-Instruct-Uncensored-HauhauCS-Aggressive-Safetensor-Benchmark
Total size
3.99 GB
Files
3
Quantizations
1
Registered
2026-10-07 00:58
Last updated on HF
2026-10-07 00:54

Files by quantization

Auxiliary files 3 files 3.99 GB
qwen3-4b-2507-instruct-uncensored-hauhaucs-aggressive-safetensor-benchmark-q8_0.gguf 3.99 GB a9ace6bc download
README.md 2.57 KB f2123d5f download
.gitattributes 1.60 KB 6777e0ed download

README current version from Hugging Face


base_model: DreamFast/Qwen3-4B-2507-Instruct-Uncensored-HauhauCS-Aggressive-Safetensor-Benchmark
language:

  • en
  • zh
    library_name: transformers
    license: apache-2.0
    pipeline_tag: text-generation
    tags:
  • uncensored
  • abliterated
  • qwen3
  • safetensors
  • llama-cpp
  • gguf-my-repo

ReubenNewman/Qwen3-4B-2507-Instruct-Uncensored-HauhauCS-Aggressive-Safetensor-Benchmark-Q8_0-GGUF

This model was converted to GGUF format from DreamFast/Qwen3-4B-2507-Instruct-Uncensored-HauhauCS-Aggressive-Safetensor-Benchmark 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 ReubenNewman/Qwen3-4B-2507-Instruct-Uncensored-HauhauCS-Aggressive-Safetensor-Benchmark-Q8_0-GGUF --hf-file qwen3-4b-2507-instruct-uncensored-hauhaucs-aggressive-safetensor-benchmark-q8_0.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo ReubenNewman/Qwen3-4B-2507-Instruct-Uncensored-HauhauCS-Aggressive-Safetensor-Benchmark-Q8_0-GGUF --hf-file qwen3-4b-2507-instruct-uncensored-hauhaucs-aggressive-safetensor-benchmark-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 ReubenNewman/Qwen3-4B-2507-Instruct-Uncensored-HauhauCS-Aggressive-Safetensor-Benchmark-Q8_0-GGUF --hf-file qwen3-4b-2507-instruct-uncensored-hauhaucs-aggressive-safetensor-benchmark-q8_0.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo ReubenNewman/Qwen3-4B-2507-Instruct-Uncensored-HauhauCS-Aggressive-Safetensor-Benchmark-Q8_0-GGUF --hf-file qwen3-4b-2507-instruct-uncensored-hauhaucs-aggressive-safetensor-benchmark-q8_0.gguf -c 2048
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