How to use from
llama.cppInstall from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf tensorblock/TestMixtral-GGUF:Q2_K# Run inference directly in the terminal:
llama-cli -hf tensorblock/TestMixtral-GGUF:Q2_KUse 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 tensorblock/TestMixtral-GGUF:Q2_K# Run inference directly in the terminal:
./llama-cli -hf tensorblock/TestMixtral-GGUF:Q2_KBuild 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 tensorblock/TestMixtral-GGUF:Q2_K# Run inference directly in the terminal:
./build/bin/llama-cli -hf tensorblock/TestMixtral-GGUF:Q2_KUse Docker
docker model run hf.co/tensorblock/TestMixtral-GGUF:Q2_KQuick Links
artek0chumak/TestMixtral - GGUF
This repo contains GGUF format model files for artek0chumak/TestMixtral.
The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4011.
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Model file specification
| Filename | Quant type | File Size | Description |
|---|---|---|---|
| TestMixtral-Q2_K.gguf | Q2_K | 0.005 GB | smallest, significant quality loss - not recommended for most purposes |
| TestMixtral-Q3_K_S.gguf | Q3_K_S | 0.005 GB | very small, high quality loss |
| TestMixtral-Q3_K_M.gguf | Q3_K_M | 0.005 GB | very small, high quality loss |
| TestMixtral-Q3_K_L.gguf | Q3_K_L | 0.005 GB | small, substantial quality loss |
| TestMixtral-Q4_0.gguf | Q4_0 | 0.005 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| TestMixtral-Q4_K_S.gguf | Q4_K_S | 0.006 GB | small, greater quality loss |
| TestMixtral-Q4_K_M.gguf | Q4_K_M | 0.006 GB | medium, balanced quality - recommended |
| TestMixtral-Q5_0.gguf | Q5_0 | 0.006 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| TestMixtral-Q5_K_S.gguf | Q5_K_S | 0.006 GB | large, low quality loss - recommended |
| TestMixtral-Q5_K_M.gguf | Q5_K_M | 0.006 GB | large, very low quality loss - recommended |
| TestMixtral-Q6_K.gguf | Q6_K | 0.007 GB | very large, extremely low quality loss |
| TestMixtral-Q8_0.gguf | Q8_0 | 0.007 GB | very large, extremely low quality loss - not recommended |
Downloading instruction
Command line
Firstly, install Huggingface Client
pip install -U "huggingface_hub[cli]"
Then, downoad the individual model file the a local directory
huggingface-cli download tensorblock/TestMixtral-GGUF --include "TestMixtral-Q2_K.gguf" --local-dir MY_LOCAL_DIR
If you wanna download multiple model files with a pattern (e.g., *Q4_K*gguf), you can try:
huggingface-cli download tensorblock/TestMixtral-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
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Model tree for tensorblock/TestMixtral-GGUF
Base model
artek0chumak/TestMixtral
Install from brew
# Start a local OpenAI-compatible server with a web UI: llama-server -hf tensorblock/TestMixtral-GGUF:Q2_K# Run inference directly in the terminal: llama-cli -hf tensorblock/TestMixtral-GGUF:Q2_K