metadata

base_model: benhaotang/nemo-math-science-philosophy-12B
library_name: transformers
tags:
  - mergekit
  - merge
  - llama-cpp
  - gguf-my-repo

benhaotang/nemo-math-science-philosophy-12B-Q8_0-GGUF

This model was converted to GGUF format from benhaotang/nemo-math-science-philosophy-12B 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 Ollama

TEMPLATE """{{ if .System }}[INST]system
{{ .System }}[\INST]
{{ end }}{{ if .Prompt }}[INST]user
{{ .Prompt }}[\INST]
{{ end }}[INST]assistant
{{ .Response }}[\INST]</s>
"""

PARAMETER stop "</s>"
PARAMETER stop "[\INST]"

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 benhaotang/nemo-math-science-philosophy-12B-Q8_0-GGUF --hf-file nemo-math-science-philosophy-12b-q8_0.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo benhaotang/nemo-math-science-philosophy-12B-Q8_0-GGUF --hf-file nemo-math-science-philosophy-12b-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 benhaotang/nemo-math-science-philosophy-12B-Q8_0-GGUF --hf-file nemo-math-science-philosophy-12b-q8_0.gguf -p "The meaning to life and the universe is"

./llama-server --hf-repo benhaotang/nemo-math-science-philosophy-12B-Q8_0-GGUF --hf-file nemo-math-science-philosophy-12b-q8_0.gguf -c 2048