How to use from
llama.cpp
Install from brew
brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf Lewdiculous/CaptainErisNebula-12B-Chimera-v1.1-GGUF-IQ-Imatrix:
# Run inference directly in the terminal:
llama-cli -hf Lewdiculous/CaptainErisNebula-12B-Chimera-v1.1-GGUF-IQ-Imatrix:
Install from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf Lewdiculous/CaptainErisNebula-12B-Chimera-v1.1-GGUF-IQ-Imatrix:
# Run inference directly in the terminal:
llama-cli -hf Lewdiculous/CaptainErisNebula-12B-Chimera-v1.1-GGUF-IQ-Imatrix:
Use 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 Lewdiculous/CaptainErisNebula-12B-Chimera-v1.1-GGUF-IQ-Imatrix:
# Run inference directly in the terminal:
./llama-cli -hf Lewdiculous/CaptainErisNebula-12B-Chimera-v1.1-GGUF-IQ-Imatrix:
Build 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 Lewdiculous/CaptainErisNebula-12B-Chimera-v1.1-GGUF-IQ-Imatrix:
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Lewdiculous/CaptainErisNebula-12B-Chimera-v1.1-GGUF-IQ-Imatrix:
Use Docker
docker model run hf.co/Lewdiculous/CaptainErisNebula-12B-Chimera-v1.1-GGUF-IQ-Imatrix:
Quick Links

GGUF quants for Nitral-AI/CaptainErisNebula-12B-Chimera-v1.1's recipe.

Author recommended initial SillyTavern presets:

https://iili.io/KKtCMf2.md.jpg


This is an improvement on the previous experimental version.

  • Not "chaotic", and at a usable size for most people seeking to perform inference locally with good speeds.
  • The model does not show excessive alignment, so it should be good for most scenarios/writing situations.

  • Feel free to use some light system prompting to nudge it out of a blocker if needed.

  • It does well in adhering to characters and instructions.


Thank you so much, "crazy chef" and "mad scientist", Nitral!


# Using the latest llama.cpp ...
release version at the time: b6258.
# Imatrix was based on the full ...
FP16 precision GGUF.

START: BF16 HuggingFace Model
↓
(1) Conversion to Full-Precision GGUF
↓
FP16 GGUF (for Calibration Imatrix)
BF16 GGUF (for Quantization)
↓
(2) Generate Imatrix (from FP16 GGUF)
↓
imatrix.fp16.gguf
↓
(3) Quantize with Imatrix (using BF16 GGUF)
↓
Final Quantized GGUF Models
↓
END
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