Install from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf BlueNipples/TimeCrystal-l2-13B-GGUF:Q5_K_S# Run inference directly in the terminal:
llama cli -hf BlueNipples/TimeCrystal-l2-13B-GGUF:Q5_K_SUse pre-built binary
# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf BlueNipples/TimeCrystal-l2-13B-GGUF:Q5_K_S# Run inference directly in the terminal:
./llama-cli -hf BlueNipples/TimeCrystal-l2-13B-GGUF:Q5_K_SBuild from source code
git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf BlueNipples/TimeCrystal-l2-13B-GGUF:Q5_K_S# Run inference directly in the terminal:
./build/bin/llama-cli -hf BlueNipples/TimeCrystal-l2-13B-GGUF:Q5_K_SUse Docker
docker model run hf.co/BlueNipples/TimeCrystal-l2-13B-GGUF:Q5_K_SThis 13B model, TimeCrystal-l2-13B is built to maximize logic and instruct following, whilst also increasing the vividness of prose found in Chronos based models like Mythomax, over the more romantic prose, hopefully without losing the elegent narrative structure touch of newer models like synthia and xwin. TLDR: Attempt at more clever, better prose.
Tentative test results: I'm not certain if logic/instruct was improved or not (haven't tested much), but the prose infusion seems to have worked really well.
It is built so:
SLERPS: Amethyst + Openchat Super = OpenStone
MythoMax + Chronos = ChronoMax
ChronoMax + Amethyst = TimeStone
Gradient Merge:
TimeStone + OpenStone (0.9,0,0) = TimeCrystal
Props to all the mergers, fine tuners!
All models in Merge: Many, lol.
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Install (macOS, Linux)
# Start a local OpenAI-compatible server with a web UI: llama serve -hf BlueNipples/TimeCrystal-l2-13B-GGUF:Q5_K_S# Run inference directly in the terminal: llama cli -hf BlueNipples/TimeCrystal-l2-13B-GGUF:Q5_K_S