base_model: netcat420/MFANNv0.21
datasets:
- netcat420/MFANN
language:
- en
library_name: transformers
license: llama3
pipeline_tag: text-generation
tags:
- llama-cpp
- gguf-my-repo
System prompt:
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a helpful, respectful and honest assistant. Always answer as helpfully as possible. If a question does not make any sense, or is not factually coherent, explain why instead of answering something not correct. If you don't know the answer to a question, please don't share false information. <|eot_id|>
netcat420/MFANNv0.21-Q4_K_M-GGUF
This model was converted to GGUF format from netcat420/MFANNv0.21 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 netcat420/MFANNv0.21-Q4_K_M-GGUF --hf-file mfannv0.21-q4_k_m.gguf -p "The meaning to life and the universe is"
Server:
llama-server --hf-repo netcat420/MFANNv0.21-Q4_K_M-GGUF --hf-file mfannv0.21-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 netcat420/MFANNv0.21-Q4_K_M-GGUF --hf-file mfannv0.21-q4_k_m.gguf -p "The meaning to life and the universe is"
or
./llama-server --hf-repo netcat420/MFANNv0.21-Q4_K_M-GGUF --hf-file mfannv0.21-q4_k_m.gguf -c 2048