Downloads · 30 days
9
10% of all-time downloads
Sleem247/snowflake_finetuned_semantic-Q8_0-GGUF
snowflake_finetuned_semantic-Q8_0-GGUF is a sentence similarity model from Sleem247. Use it when you need a score for how close two texts are. It is set up for sentence-transformers.
This model was converted to GGUF format from jet-taekyo/snowflakefinetunedsemantic 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
9
10% of all-time downloads
All-time downloads
86
Public
Repo size
118 MB
Likes
0
Public
Click a slice to open those files.
.gguf118 MB · 100%
From the Hugging Face model README
This model was converted to GGUF format from jet-taekyo/snowflake_finetuned_semantic 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 Sleem247/snowflake_finetuned_semantic-Q8_0-GGUF --hf-file snowflake_finetuned_semantic-q8_0.gguf -p "The meaning to life and the universe is"
llama-server --hf-repo Sleem247/snowflake_finetuned_semantic-Q8_0-GGUF --hf-file snowflake_finetuned_semantic-q8_0.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 Sleem247/snowflake_finetuned_semantic-Q8_0-GGUF --hf-file snowflake_finetuned_semantic-q8_0.gguf -p "The meaning to life and the universe is"
or
./llama-server --hf-repo Sleem247/snowflake_finetuned_semantic-Q8_0-GGUF --hf-file snowflake_finetuned_semantic-q8_0.gguf -c 2048