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LoSboccacc
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ThinkExtension-4x7

GGUF
conversational
Model card Files
xet
 Community
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 LoSboccacc/ThinkExtension-4x7:
# Run inference directly in the terminal:
llama-cli -hf LoSboccacc/ThinkExtension-4x7:
Install from WinGet (Windows) 
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf LoSboccacc/ThinkExtension-4x7:
# Run inference directly in the terminal:
llama-cli -hf LoSboccacc/ThinkExtension-4x7:
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 LoSboccacc/ThinkExtension-4x7:
# Run inference directly in the terminal:
./llama-cli -hf LoSboccacc/ThinkExtension-4x7:
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 LoSboccacc/ThinkExtension-4x7:
# Run inference directly in the terminal:
./build/bin/llama-cli -hf LoSboccacc/ThinkExtension-4x7:
Use Docker 
docker model run hf.co/LoSboccacc/ThinkExtension-4x7:
Quick Links

MOE with Mergekit/Mixtral:

    base_model: mistralai/Mistral-7B-Instruct-v0.2
    gate_mode: hidden # one of "hidden", "cheap_embed", or "random"
    dtype: bfloat16 # output dtype (float32, float16, or bfloat16)
    experts:
      - source_model: SanjiWatsuki/Silicon-Maid-7B
        positive_prompts:
          - "roleplay"
          - "story telling"
          - "fantasy"
          - "dreaming"
      - source_model: teknium/OpenHermes-2.5-Mistral-7B
        positive_prompts:
          - "chat"
          - "flow chart"
          - "diagrams"
          - "reasoning"
          - "explanation"
      - source_model: Nondzu/Mistral-7B-Instruct-v0.2-code-ft
        positive_prompts:
          - "programming"
          - "code debugging"
          - "data transformation"
          - "data structures"
        negative_prompt:
          - "chat"
      - source_model: meta-math/MetaMath-Mistral-7B
        positive_prompts:
          - "math"
          - "arithmetic"
          - "algebra"

chatml prompt

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GGUF
Model size
24B params
Architecture
llama
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