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Skywork R1V3 38B Q2 K GGUF

This model was converted to GGUF format from Skywork/Skywork-R1V3-38B using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.

KindOtherBase modelSkywork/Skywork-R1V3-38BVersionRevision 84cc483Bgrade

Model source

Kind
Other
File size
11.5 GB
Base model
Skywork/Skywork-R1V3-38B
Version
vRevision 84cc483
Updated
Oct 23, 2026
Downloads
15
Source
Hugging Face

Source description

MrDevolver/Skywork-R1V3-38B-Q2_K-GGUF

This model was converted to GGUF format from Skywork/Skywork-R1V3-38B 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 MrDevolver/Skywork-R1V3-38B-Q2_K-GGUF --hf-file skywork-r1v3-38b-q2_k.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo MrDevolver/Skywork-R1V3-38B-Q2_K-GGUF --hf-file skywork-r1v3-38b-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 MrDevolver/Skywork-R1V3-38B-Q2_K-GGUF --hf-file skywork-r1v3-38b-q2_k.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo MrDevolver/Skywork-R1V3-38B-Q2_K-GGUF --hf-file skywork-r1v3-38b-q2_k.gguf -c 2048

Sources

1 source
Hugging FacePrimaryVersion 84cc4835e2f6f89fa55ee707ef171f16e53768ba
huggingface.co/MrDevolver/Skywork-R1V3-38B-Q2_K-GGUF/tree/84cc4835e2f6f89fa55ee707ef171f16e53768ba

Verified Oct 23

Model artifacts

1 artifact

skywork-r1v3-38b-q2_k.gguf

gguf · 11.5 GB · SHA-256 52bc10c7dab7…8c4b · Hugging Face

Download file

Source excerpts

3 excerpts

--- pipeline_tag: visual-question-answering library_name: transformers license: mit language: - en base_model: Skywork/Skywork-R1V3-38B tags: - Skywork R1V - llama-cpp - gguf-my-repo --- # MrDevolver/Skywork-R1V3-38B-Q2_K-GGUF This model was converted to GGUF format from [`Skywork/Skywork-R1V3-38B`](https://huggingface.co/Skywork/Skywork-R1V3-38B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space. Refer to the [original model card](https://huggingface.co/Skywork/Skywork-R1V3-38B) for more details on the model. ## Use with llama.cpp Install llama.cpp through brew (works on Mac and Linux) ```bash brew install llama.cpp ``` Invoke the llama.cpp server or the CLI. ### CLI: ```bash llama-cli --hf-repo MrDevolver/Skywork-R1V3-38B-Q2_K-GGUF --hf-file skywork-r1v3-38b-q2_k.gguf -p "The meaning to life and the universe is" ``` ### Server: ```bash llama-server --hf-repo MrDevolver/Skywork-R1V3-38B-Q2_K-GGUF --hf-file skywork-r1v3-38b-q2_k.gguf -c 2048 ``` Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) 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 MrDevolver/Skywork-R1V3-38B-Q2_K-GGUF --hf-file skywork-r1v3-38b-q2_k.gguf -p "The meaning to life and the universe is" ``` or ``` ./llama-server --hf-repo MrDevolver/Skywork-R1V3-38B-Q2_K-GGUF --hf-file skywork-r1v3-38b-q2_k.gguf -c 2048 ```

Source context: 15 downloads · 1 likes · Pipeline visual-question-answering · Library transformers · Repo MrDevolver/Skywork-R1V3-38B-Q2_K-GGUF

Source context: 4 downloads · 1 likes · Pipeline visual-question-answering · Library transformers · Repo MrDevolver/Skywork-R1V3-38B-Q2_K-GGUF