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DIvAndrey
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Llama-3-SPPO-turbcat-RP-v0.1-alpha-GGUF

GGUF
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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 DIvAndrey/Llama-3-SPPO-turbcat-RP-v0.1-alpha-GGUF:Q5_K_M
# Run inference directly in the terminal:
llama-cli -hf DIvAndrey/Llama-3-SPPO-turbcat-RP-v0.1-alpha-GGUF:Q5_K_M
Install from WinGet (Windows) 
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf DIvAndrey/Llama-3-SPPO-turbcat-RP-v0.1-alpha-GGUF:Q5_K_M
# Run inference directly in the terminal:
llama-cli -hf DIvAndrey/Llama-3-SPPO-turbcat-RP-v0.1-alpha-GGUF:Q5_K_M
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 DIvAndrey/Llama-3-SPPO-turbcat-RP-v0.1-alpha-GGUF:Q5_K_M
# Run inference directly in the terminal:
./llama-cli -hf DIvAndrey/Llama-3-SPPO-turbcat-RP-v0.1-alpha-GGUF:Q5_K_M
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 DIvAndrey/Llama-3-SPPO-turbcat-RP-v0.1-alpha-GGUF:Q5_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf DIvAndrey/Llama-3-SPPO-turbcat-RP-v0.1-alpha-GGUF:Q5_K_M
Use Docker 
docker model run hf.co/DIvAndrey/Llama-3-SPPO-turbcat-RP-v0.1-alpha-GGUF:Q5_K_M
Quick Links

Llama-3-SPPO-turbcat-RP-v0.1-alpha

These are GGUF quants of the Llama-3-SPPO-turbcat-RP-v0.1-alpha. For transformers version check another repo.

The following GGUF quants are currently available:

  • Q5_K_M (no imatrix)
  • Q8_0 (no imatrix)

Llama-3-SPPO-turbcat-RP-v0.1-alpha is a merge of the following models using mergekit:

🧩 Configuration 

models:
  - model: Casual-Autopsy/L3-Umbral-Mind-RP-v3.0-8B
  - model: UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3+grimjim/Llama-3-Instruct-abliteration-LoRA-8B
  - model: turboderp/llama3-turbcat-instruct-8b
merge_method: model_stock
base_model: failspy/Meta-Llama-3-8B-Instruct-abliterated-v3
dtype: bfloat16
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Model size
8B params
Architecture
llama
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