Downloads · 30 days
17
1% of all-time downloads
fluently-lm/FluentlyLM-Prinum-Q4_K_M-GGUF
FluentlyLM-Prinum-Q4_K_M-GGUF is a text generation model from fluently-lm. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as mit.
This model was converted to GGUF format from fluently-lm/FluentlyLM-Prinum using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.
Downloads · 30 days
17
1% of all-time downloads
All-time downloads
1.6K
Public
Repo size
19.9 GB
Likes
6
Public
Click a slice to open those files.
.gguf19.9 GB · 100%
From the Hugging Face model README
This model was converted to GGUF format from fluently-lm/FluentlyLM-Prinum using llama.cpp via the ggml.ai's GGUF-my-repo space.
Refer to the original model card for more details on the model.
Install llama.cpp through brew (works on Mac and Linux)
brew install llama.cpp
Invoke the llama.cpp server or the CLI.
llama-cli --hf-repo ehristoforu/FluentlyLM-Prinum-Q4_K_M-GGUF --hf-file fluentlylm-prinum-q4_k_m.gguf -p "The meaning to life and the universe is"
llama-server --hf-repo ehristoforu/FluentlyLM-Prinum-Q4_K_M-GGUF --hf-file fluentlylm-prinum-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 ehristoforu/FluentlyLM-Prinum-Q4_K_M-GGUF --hf-file fluentlylm-prinum-q4_k_m.gguf -p "The meaning to life and the universe is"
or
./llama-server --hf-repo ehristoforu/FluentlyLM-Prinum-Q4_K_M-GGUF --hf-file fluentlylm-prinum-q4_k_m.gguf -c 2048