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teddy19032/Ornith-1.5-9B-uncensored-Q4_K_M-GGUF overview

teddy19032/Ornith 1.5 9B uncensored Q4 K M GGUF This model was converted to GGUF format from junafinity/Ornith 1.5 9B uncensored https://huggingface.co/junafin…

transformersggufornithqwen3_5abliterateduncensoredzerofusemultimodalvisionllama-cppgguf-my-repoimage-text-to-textbase_model:junafinity/Ornith-1.5-9B-uncensoredbase_model:quantized:junafinity/Ornith-1.5-9B-uncensoredlicense:apache-2.0endpoints_compatibleregion:us

Runs locally from ~5.24 GB disk (8 GB VRAM class GPUs with llama.cpp / guIDE).

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image-text-to-text

Repository Files & Downloads

1 GGUF files detected
Direct downloads for local inference
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ornith-1.5-9b-uncensored-q4_k_m.ggufGGUFQ4_K_M5.24 GBDownload

Model Details

Model IDteddy19032/Ornith-1.5-9B-uncensored-Q4_K_M-GGUF
Authorteddy19032
Pipelineimage-text-to-text
Licenseapache-2.0
Base modeljunafinity/Ornith-1.5-9B-uncensored
Last modified2026-08-20T05:37:22.000Z

Model README

---

license: apache-2.0

base_model: junafinity/Ornith-1.5-9B-uncensored

library_name: transformers

pipeline_tag: image-text-to-text

tags:

  • ornith
  • qwen3_5
  • abliterated
  • uncensored
  • zerofuse
  • multimodal
  • vision
  • llama-cpp
  • gguf-my-repo

---

teddy19032/Ornith-1.5-9B-uncensored-Q4_K_M-GGUF

This model was converted to GGUF format from junafinity/Ornith-1.5-9B-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 teddy19032/Ornith-1.5-9B-uncensored-Q4_K_M-GGUF --hf-file ornith-1.5-9b-uncensored-q4_k_m.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo teddy19032/Ornith-1.5-9B-uncensored-Q4_K_M-GGUF --hf-file ornith-1.5-9b-uncensored-q4_k_m.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 teddy19032/Ornith-1.5-9B-uncensored-Q4_K_M-GGUF --hf-file ornith-1.5-9b-uncensored-q4_k_m.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo teddy19032/Ornith-1.5-9B-uncensored-Q4_K_M-GGUF --hf-file ornith-1.5-9b-uncensored-q4_k_m.gguf -c 2048

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