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wjdbin217/DialogueGenModel_ft8_qwen3-8B_v1-Q4_K_M-GGUF
DialogueGenModel_ft8_qwen3-8B_v1-Q4_K_M-GGUF is a machine learning model from wjdbin217. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This model was converted to GGUF format from wjdbin217/DialogueGenModelft8qwen3-8Bv1 using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.
Downloads · 30 days
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From the Hugging Face model README
This model was converted to GGUF format from wjdbin217/DialogueGenModel_ft8_qwen3-8B_v1 using llama.cpp via the ggml.ai's GGUF-my-repo space.
Refer to the original model card for more details on the model.
Install llama.cpp through brew (works on Mac and Linux)
brew install llama.cpp
Invoke the llama.cpp server or the CLI.
llama-cli --hf-repo wjdbin217/DialogueGenModel_ft8_qwen3-8B_v1-Q4_K_M-GGUF --hf-file dialoguegenmodel_ft8_qwen3-8b_v1-q4_k_m.gguf -p "The meaning to life and the universe is"
llama-server --hf-repo wjdbin217/DialogueGenModel_ft8_qwen3-8B_v1-Q4_K_M-GGUF --hf-file dialoguegenmodel_ft8_qwen3-8b_v1-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 wjdbin217/DialogueGenModel_ft8_qwen3-8B_v1-Q4_K_M-GGUF --hf-file dialoguegenmodel_ft8_qwen3-8b_v1-q4_k_m.gguf -p "The meaning to life and the universe is"
or
./llama-server --hf-repo wjdbin217/DialogueGenModel_ft8_qwen3-8B_v1-Q4_K_M-GGUF --hf-file dialoguegenmodel_ft8_qwen3-8b_v1-q4_k_m.gguf -c 2048