Edit model card

tritiumoxide/madlad400-7b-mt-bt-Q4_K_M-GGUF

This model was converted to GGUF format from google/madlad400-7b-mt-bt 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 tritiumoxide/madlad400-7b-mt-bt-Q4_K_M-GGUF --hf-file madlad400-7b-mt-bt-q4_k_m.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo tritiumoxide/madlad400-7b-mt-bt-Q4_K_M-GGUF --hf-file madlad400-7b-mt-bt-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 tritiumoxide/madlad400-7b-mt-bt-Q4_K_M-GGUF --hf-file madlad400-7b-mt-bt-q4_k_m.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo tritiumoxide/madlad400-7b-mt-bt-Q4_K_M-GGUF --hf-file madlad400-7b-mt-bt-q4_k_m.gguf -c 2048
Downloads last month
6
GGUF
Model size
8.3B params
Architecture
t5

4-bit

Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for tritiumoxide/madlad400-7b-mt-bt-Q4_K_M-GGUF

Quantized
(2)
this model

Dataset used to train tritiumoxide/madlad400-7b-mt-bt-Q4_K_M-GGUF