llama.cpp LLM
Collection
I nostri migliori modelli in formato GGUF per l'utilizzo in locale (anche con CPU) con llama.cpp
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3 items
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Updated
This model was converted to GGUF format from SeacomSrl/SeaQwen2-1.5B
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 --hf-repo SeacomSrl/SeaQwen2-1.5B-Q4_K_M-GGUF --hf-file seaqwen2-1.5b-q4_k_m.gguf -p "The meaning to life and the universe is"
llama-server --hf-repo SeacomSrl/SeaQwen2-1.5B-Q4_K_M-GGUF --hf-file seaqwen2-1.5b-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.
./main --hf-repo SeacomSrl/SeaQwen2-1.5B-Q4_K_M-GGUF --hf-file seaqwen2-1.5b-q4_k_m.gguf -p "The meaning to life and the universe is"
or
./server --hf-repo SeacomSrl/SeaQwen2-1.5B-Q4_K_M-GGUF --hf-file seaqwen2-1.5b-q4_k_m.gguf -c 2048
Base model
SeacomSrl/SeaQwen2-1.5B