Sleem247/snowflake_finetuned_semantic-Q8_0-GGUF
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.
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 Sleem247/snowflake_finetuned_semantic-Q8_0-GGUF --hf-file snowflake_finetuned_semantic-q8_0.gguf -p "The meaning to life and the universe is"
Server:
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
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Model tree for Sleem247/snowflake_finetuned_semantic-Q8_0-GGUF
Base model
Snowflake/snowflake-arctic-embed-m Finetuned
jet-taekyo/snowflake_finetuned_semanticEvaluation results
- Cosine Accuracy@1 on Unknownself-reported0.875
- Cosine Accuracy@3 on Unknownself-reported0.967
- Cosine Accuracy@5 on Unknownself-reported0.987
- Cosine Accuracy@10 on Unknownself-reported0.993
- Cosine Precision@1 on Unknownself-reported0.875
- Cosine Precision@3 on Unknownself-reported0.322
- Cosine Precision@5 on Unknownself-reported0.197
- Cosine Precision@10 on Unknownself-reported0.099
- Cosine Recall@1 on Unknownself-reported0.875
- Cosine Recall@3 on Unknownself-reported0.967
- Cosine Recall@5 on Unknownself-reported0.987
- Cosine Recall@10 on Unknownself-reported0.993
- Cosine Ndcg@10 on Unknownself-reported0.942
- Cosine Mrr@10 on Unknownself-reported0.925
- Cosine Map@100 on Unknownself-reported0.925
- Dot Accuracy@1 on Unknownself-reported0.875
- Dot Accuracy@3 on Unknownself-reported0.967
- Dot Accuracy@5 on Unknownself-reported0.987
- Dot Accuracy@10 on Unknownself-reported0.993
- Dot Precision@1 on Unknownself-reported0.875