GGUF Qunat
Collection
Quantized model using gguf format โข 9 items โข Updated โข 2
How to use seyf1elislam/Monarch-7B-GGUF with llama.cpp:
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf seyf1elislam/Monarch-7B-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf seyf1elislam/Monarch-7B-GGUF:Q4_K_M
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf seyf1elislam/Monarch-7B-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf seyf1elislam/Monarch-7B-GGUF:Q4_K_M
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf seyf1elislam/Monarch-7B-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama cli -hf seyf1elislam/Monarch-7B-GGUF:Q4_K_M
docker model run hf.co/seyf1elislam/Monarch-7B-GGUF:Q4_K_M
How to use seyf1elislam/Monarch-7B-GGUF with Ollama:
ollama run hf.co/seyf1elislam/Monarch-7B-GGUF:Q4_K_M
How to use seyf1elislam/Monarch-7B-GGUF with Docker Model Runner:
docker model run hf.co/seyf1elislam/Monarch-7B-GGUF:Q4_K_M
How to use seyf1elislam/Monarch-7B-GGUF with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull seyf1elislam/Monarch-7B-GGUF:Q4_K_M
lemonade run user.Monarch-7B-GGUF-Q4_K_M
lemonade list
This repo contains GGUF format model files for mlabonne's Monarch-7B .
| Name | Quant method | Bits | Size | Max RAM required | Use case |
|---|---|---|---|---|---|
| monarch-7b.Q2_K.gguf | Q2_K | 2 | 2.72 GB | 5.22 GB | significant quality loss - not recommended for most purposes |
| monarch-7b.Q3_K_M.gguf | Q3_K_M | 3 | 3.52 GB | 6.02 GB | very small, high quality loss |
| monarch-7b.Q4_K_M.gguf | Q4_K_M | 4 | 4.37 GB | 6.87 GB | medium, balanced quality - recommended |
| monarch-7b.Q5_K_M.gguf | Q5_K_M | 5 | 5.13 GB | 7.63 GB | large, very low quality loss - recommended |
| monarch-7b.Q6_K.gguf | Q6_K | 6 | 5.94 GB | 8.44 GB | very large, extremely low quality loss |
| monarch-7b.Q8_0.gguf | Q8_0 | 8 | 7.70 GB | 10.20 GB | very large, extremely low quality loss - not recommended |
4-bit
5-bit
6-bit
8-bit
Base model
mlabonne/Monarch-7B