Skywork R1V3 38B Q2 K GGUF

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

--- 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 ```