Instructions to use gghfez/SmartMaid-123b-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use gghfez/SmartMaid-123b-GGUF with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf gghfez/SmartMaid-123b-GGUF:Q2_K_M # Run inference directly in the terminal: llama cli -hf gghfez/SmartMaid-123b-GGUF:Q2_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf gghfez/SmartMaid-123b-GGUF:Q2_K_M # Run inference directly in the terminal: llama cli -hf gghfez/SmartMaid-123b-GGUF:Q2_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 gghfez/SmartMaid-123b-GGUF:Q2_K_M # Run inference directly in the terminal: ./llama-cli -hf gghfez/SmartMaid-123b-GGUF:Q2_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 gghfez/SmartMaid-123b-GGUF:Q2_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf gghfez/SmartMaid-123b-GGUF:Q2_K_M
Use Docker
docker model run hf.co/gghfez/SmartMaid-123b-GGUF:Q2_K_M
- LM Studio
- Jan
- Ollama
How to use gghfez/SmartMaid-123b-GGUF with Ollama:
ollama run hf.co/gghfez/SmartMaid-123b-GGUF:Q2_K_M
- Unsloth Desktop
- Docker Model Runner
How to use gghfez/SmartMaid-123b-GGUF with Docker Model Runner:
docker model run hf.co/gghfez/SmartMaid-123b-GGUF:Q2_K_M
- Lemonade
How to use gghfez/SmartMaid-123b-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull gghfez/SmartMaid-123b-GGUF:Q2_K_M
Run and chat with the model
lemonade run user.SmartMaid-123b-GGUF-Q2_K_M
List all available models
lemonade list
- Atomic Chat
Update: After further testing, this has turned out exactly like I wanted, and is one of my favorite models! It remains coherent at higher contexts and doesn't suffer the repetition issues I was having with Lumimaid.
GGUF Quants of gghfez/SmartMaid-123b
SmartMaid-123b
This experimental model is a hybrid creation combining aspects of Mistral-Large-Instruct-2407 and Lumimaid-v0.2-123B using LoRA (Low-Rank Adaptation) on the mlp.down_proj module.
Model Details
- Base Model: Mistral-Large-Instruct-2407
- Influence Model: Lumimaid-v0.2-123B
- Method: LoRA extraction from Lumimaid and targetted application to Mistral-Large
- LoRA Configuration:
- Rank: 32
- Alpha: 64
- Target Module:
mlp.down_proj
Process
- A LoRA was extracted from Lumimaid-v0.2-123B
- This LoRA was then applied to a fresh instance of Mistral-Large-Instruct-2407 targetting only the mlp.down_proj modules.
- The resulting model was merged to create this standalone version.
Purpose
The aim of this model is to incorporate the enhanced prose qualities of Lumimaid-v0.2-123B while retaining the core intelligence and capabilities of Mistral-Large.
By applying the LoRA to the mlp.down_proj module, we sought to influence the model's language generation style without significantly altering its underlying knowledge and reasoning abilities.
Prompt Template
<s>[INST] {input} [/INST] {output}</s>
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Model tree for gghfez/SmartMaid-123b-GGUF
Base model
NeverSleep/Lumimaid-v0.2-123B