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SpaceTimee/Suri-Qwen-3.8-27B-Uncensored-Q3_K_L-GGUF overview

SpaceTimee/Suri Qwen 3.8 27B Uncensored Q3 K L GGUF This model was converted to GGUF format from SpaceTimee/Suri Qwen 3.8 27B Uncensored https://huggingface.co…

transformersggufsuriqwen27Buncensoredunalignedtext-generation-inferenceqwen3.8llama-cppgguf-my-repoimage-text-to-textzhenbase_model:SpaceTimee/Suri-Qwen-3.8-27B-Uncensoredbase_model:quantized:SpaceTimee/Suri-Qwen-3.8-27B-Uncensoredendpoints_compatibleregion:us

Runs locally from ~13.56 GB disk (16 GB VRAM class GPUs with llama.cpp / guIDE).

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Pipeline
image-text-to-text

Repository Files & Downloads

1 GGUF files detected
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suri-qwen-3.8-27b-uncensored-q3_k_l.ggufGGUFQ3_K_L13.56 GBDownload

Model Details

Model IDSpaceTimee/Suri-Qwen-3.8-27B-Uncensored-Q3_K_L-GGUF
AuthorSpaceTimee
Pipelineimage-text-to-text
License—
Base modelSpaceTimee/Suri-Qwen-3.8-27B-Uncensored
Last modified2026-09-30T03:31:18.000Z

Model README

---

language:

  • zh
  • en

base_model: SpaceTimee/Suri-Qwen-3.8-27B-Uncensored

tags:

  • suri
  • qwen
  • 27B
  • uncensored
  • unaligned
  • text-generation-inference
  • qwen3.8
  • llama-cpp
  • gguf-my-repo

pipeline_tag: image-text-to-text

library_name: transformers

---

SpaceTimee/Suri-Qwen-3.8-27B-Uncensored-Q3_K_L-GGUF

This model was converted to GGUF format from SpaceTimee/Suri-Qwen-3.8-27B-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 SpaceTimee/Suri-Qwen-3.8-27B-Uncensored-Q3_K_L-GGUF --hf-file suri-qwen-3.8-27b-uncensored-q3_k_l.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo SpaceTimee/Suri-Qwen-3.8-27B-Uncensored-Q3_K_L-GGUF --hf-file suri-qwen-3.8-27b-uncensored-q3_k_l.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 SpaceTimee/Suri-Qwen-3.8-27B-Uncensored-Q3_K_L-GGUF --hf-file suri-qwen-3.8-27b-uncensored-q3_k_l.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo SpaceTimee/Suri-Qwen-3.8-27B-Uncensored-Q3_K_L-GGUF --hf-file suri-qwen-3.8-27b-uncensored-q3_k_l.gguf -c 2048

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