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QuantFactory
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MN-12B-Starcannon-v3-GGUF

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GGUF
mergekit
Merge
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Model card Files
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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 QuantFactory/MN-12B-Starcannon-v3-GGUF:
# Run inference directly in the terminal:
llama-cli -hf QuantFactory/MN-12B-Starcannon-v3-GGUF:
Install from WinGet (Windows) 
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf QuantFactory/MN-12B-Starcannon-v3-GGUF:
# Run inference directly in the terminal:
llama-cli -hf QuantFactory/MN-12B-Starcannon-v3-GGUF:
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 QuantFactory/MN-12B-Starcannon-v3-GGUF:
# Run inference directly in the terminal:
./llama-cli -hf QuantFactory/MN-12B-Starcannon-v3-GGUF:
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 QuantFactory/MN-12B-Starcannon-v3-GGUF:
# Run inference directly in the terminal:
./build/bin/llama-cli -hf QuantFactory/MN-12B-Starcannon-v3-GGUF:
Use Docker 
docker model run hf.co/QuantFactory/MN-12B-Starcannon-v3-GGUF:
Quick Links

QuantFactory/MN-12B-Starcannon-v3-GGUF

This is quantized version of nothingiisreal/MN-12B-Starcannon-v3 created using llama.cpp

Original Model Card

Mistral Nemo 12B Starcannon v3

This is a merge of pre-trained language models created using mergekit.
Static GGUF (by Mradermacher)
Imatrix GGUF (by Mradermacher)
EXL2 (by kingbri of RoyalLab)

Merge Details

Merge Method

This model was merged using the TIES merge method using nothingiisreal/MN-12B-Celeste-V1.9 as a base.

Merge Fodder

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

models:
    - model: anthracite-org/magnum-12b-v2
      parameters:
        density: 0.3
        weight: 0.5
    - model: nothingiisreal/MN-12B-Celeste-V1.9
      parameters:
        density: 0.7
        weight: 0.5

merge_method: ties
base_model: nothingiisreal/MN-12B-Celeste-V1.9
parameters:
    normalize: true
    int8_mask: true
dtype: bfloat16
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GGUF
Model size
12B params
Architecture
llama
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Model tree for QuantFactory/MN-12B-Starcannon-v3-GGUF

anthracite-org/magnum-v2-12b
nothingiisreal/MN-12B-Celeste-V1.9
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Paper for QuantFactory/MN-12B-Starcannon-v3-GGUF