Sri-Vigneshwar-DJ/sarvam-2b-v0.5-GGUF
This model was converted to GGUF format from Qwen/Qwen2-72B-Instruct
using llama.cpp
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) from https://github.com/ggerganov/llama.cpp.git
brew install llama.cpp or !git clone https://github.com/ggerganov/llama.cpp.git
Invoke the llama.cpp server or the CLI.
CLI:
! /content/llama.cpp/llama-cli -m ./sarvam-2b-v0.5-GGUF -n 90 --repeat_penalty 1.0 --color -i -r "User:" -f /content/llama.cpp/prompts/chat-with-bob.txt
or
llama-cli --hf-repo Sri-Vigneshwar-DJ/hawky-ai-Qwen2-Math-72B-Instruct-GGUF --hf-file FP8.gguf -p "The meaning to life and the universe is"
Server:
llama-server --hf-repo Sri-Vigneshwar-DJ/sarvam-2b-v0.5-GGUF --hf-file FP8.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 or ''!make GGML_OPENBLAS=1' along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).
cd llama.cpp && LLAMA_CURL=1 make
or
!make GGML_OPENBLAS=1
Step 3: Run inference through the main binary.
./llama-cli --hf-repo Sri-Vigneshwar-DJ/hawky-ai-Qwen2-Math-72B-Instruct-GGUF --hf-file FP8.gguf -p "FB_POST {poster} = ~Price?, Just give the upper and lower bound"
or
./llama-server --hf-repo Sri-Vigneshwar-DJ/hawky-ai-Qwen2-Math-72B-Instruct-GGUF --hf-file sFP8.gguf -c 2048
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