metadata

base_model: sambanovasystems/SambaLingo-Hungarian-Chat
datasets:
  - HuggingFaceH4/ultrachat_200k
  - HuggingFaceH4/ultrafeedback_binarized
  - HuggingFaceH4/cai-conversation-harmless
language:
  - hu
  - en
license: llama2
tags:
  - llama-cpp
  - gguf-my-repo

zsolx2/SambaLingo-Hungarian-Chat-Q4_0-GGUF

This model was converted to GGUF format from sambanovasystems/SambaLingo-Hungarian-Chat using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model. This model was created to be used with GPT4All ver >= 3.0.

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 zsolx2/SambaLingo-Hungarian-Chat-Q4_0-GGUF --hf-file sambalingo-hungarian-chat-q4_0.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo zsolx2/SambaLingo-Hungarian-Chat-Q4_0-GGUF --hf-file sambalingo-hungarian-chat-q4_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 zsolx2/SambaLingo-Hungarian-Chat-Q4_0-GGUF --hf-file sambalingo-hungarian-chat-q4_0.gguf -p "The meaning to life and the universe is"

./llama-server --hf-repo zsolx2/SambaLingo-Hungarian-Chat-Q4_0-GGUF --hf-file sambalingo-hungarian-chat-q4_0.gguf -c 2048