shivam9980/NEPALI-LLM-INSTRUCT-Q4_K_M-GGUF
This model was converted to GGUF format from shivam9980/NEPALI-LLM-INSTRUCT
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 shivam9980/NEPALI-LLM-INSTRUCT-Q4_K_M-GGUF --hf-file nepali-llm-instruct-q4_k_m.gguf -p "The meaning to life and the universe is"
Server:
llama-server --hf-repo shivam9980/NEPALI-LLM-INSTRUCT-Q4_K_M-GGUF --hf-file nepali-llm-instruct-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 shivam9980/NEPALI-LLM-INSTRUCT-Q4_K_M-GGUF --hf-file nepali-llm-instruct-q4_k_m.gguf -p "The meaning to life and the universe is"
or
./llama-server --hf-repo shivam9980/NEPALI-LLM-INSTRUCT-Q4_K_M-GGUF --hf-file nepali-llm-instruct-q4_k_m.gguf -c 2048
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Model tree for shivam9980/NEPALI-LLM-INSTRUCT-Q4_K_M-GGUF
Base model
google/gemma-2-9b
Quantized
unsloth/gemma-2-9b-bnb-4bit
Finetuned
shivam9980/NEPALI-LLM
Finetuned
shivam9980/NEPALI-LLM-INSTRUCT