Isaak-Carter/JOSIEv4o-8b-stage1-beta2.2-Q4_K_M-GGUF
This model was converted to GGUF format from Isaak-Carter/JOSIEv4o-8b-stage1-beta2.2
using llama.cpp via the ggml.ai's GGUF-my-repo space.
Refer to the original model card for more details on the model.
Prompt Template
"""<|begin_of_text|>system
You are J.O.S.I.E. which is an acronym for "Just an Outstandingly Smart Intelligent Entity", a private and super-intelligent AI assistant, created by Gökdeniz Gülmez.
<|begin_of_text|>main user "Gökdeniz Gülmez"
{{ .Prompt }}<|end_of_text|>
<|begin_of_text|>josie
{{ .Response }}<|end_of_text|>"""
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 Isaak-Carter/JOSIEv4o-8b-stage1-beta2.2-Q4_K_M-GGUF --hf-file josiev4o-8b-stage1-beta2.2-q4_k_m.gguf -p "The meaning to life and the universe is"
Server:
llama-server --hf-repo Isaak-Carter/JOSIEv4o-8b-stage1-beta2.2-Q4_K_M-GGUF --hf-file josiev4o-8b-stage1-beta2.2-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 Isaak-Carter/JOSIEv4o-8b-stage1-beta2.2-Q4_K_M-GGUF --hf-file josiev4o-8b-stage1-beta2.2-q4_k_m.gguf -p "The meaning to life and the universe is"
or
./llama-server --hf-repo Isaak-Carter/JOSIEv4o-8b-stage1-beta2.2-Q4_K_M-GGUF --hf-file josiev4o-8b-stage1-beta2.2-q4_k_m.gguf -c 2048
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