stablelm-zephyr-3b-Heretic-Q4_0-GGUF/README.md

license, license_name, license_link, base_model, tags, datasets, language, pipeline_tag, library_name

license	license_name	license_link	base_model	tags	datasets	language	pipeline_tag	library_name
other	license.md	https://huggingface.co/stabilityai/stablelm-zephyr-3b/blob/main/LICENSE.md	ChiKoi7/stablelm-zephyr-3b-Heretic	Zephyr stablelm 3b stabilityai Heretic Uncensored Abliterated llama-cpp gguf-my-repo	HuggingFaceH4/ultrachat_200k HuggingFaceH4/ultrafeedback_binarized meta-math/MetaMathQA WizardLMTeam/WizardLM_evol_instruct_V2_196k Intel/orca_dpo_pairs	en	text-generation	transformers

PJRM/stablelm-zephyr-3b-Heretic-Q4_0-GGUF

This model was converted to GGUF format from ChiKoi7/stablelm-zephyr-3b-Heretic 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 PJRM/stablelm-zephyr-3b-Heretic-Q4_0-GGUF --hf-file stablelm-zephyr-3b-heretic-q4_0.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo PJRM/stablelm-zephyr-3b-Heretic-Q4_0-GGUF --hf-file stablelm-zephyr-3b-heretic-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 PJRM/stablelm-zephyr-3b-Heretic-Q4_0-GGUF --hf-file stablelm-zephyr-3b-heretic-q4_0.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo PJRM/stablelm-zephyr-3b-Heretic-Q4_0-GGUF --hf-file stablelm-zephyr-3b-heretic-q4_0.gguf -c 2048