Quants
Collection
Miscellaneous quantifications, mostly GGUF β’ 17 items β’ Updated β’ 1
How to use cstr/occiglot-7b-de-en-instruct-dpo2-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 cstr/occiglot-7b-de-en-instruct-dpo2-GGUF # Run inference directly in the terminal: llama cli -hf cstr/occiglot-7b-de-en-instruct-dpo2-GGUF
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf cstr/occiglot-7b-de-en-instruct-dpo2-GGUF # Run inference directly in the terminal: llama cli -hf cstr/occiglot-7b-de-en-instruct-dpo2-GGUF
# 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 cstr/occiglot-7b-de-en-instruct-dpo2-GGUF # Run inference directly in the terminal: ./llama-cli -hf cstr/occiglot-7b-de-en-instruct-dpo2-GGUF
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 cstr/occiglot-7b-de-en-instruct-dpo2-GGUF # Run inference directly in the terminal: ./build/bin/llama-cli -hf cstr/occiglot-7b-de-en-instruct-dpo2-GGUF
docker model run hf.co/cstr/occiglot-7b-de-en-instruct-dpo2-GGUF
How to use cstr/occiglot-7b-de-en-instruct-dpo2-GGUF with Ollama:
ollama run hf.co/cstr/occiglot-7b-de-en-instruct-dpo2-GGUF
How to use cstr/occiglot-7b-de-en-instruct-dpo2-GGUF with Docker Model Runner:
docker model run hf.co/cstr/occiglot-7b-de-en-instruct-dpo2-GGUF
How to use cstr/occiglot-7b-de-en-instruct-dpo2-GGUF with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull cstr/occiglot-7b-de-en-instruct-dpo2-GGUF
lemonade run user.occiglot-7b-de-en-instruct-dpo2-GGUF-{{QUANT_TAG}}lemonade list
GGUF conversion of occiglot/occiglot-7b-de-en-instruct. Occiglot 7B German-English instruct DPO.
| File | Size |
|---|---|
occiglot-7b-de-en-instruct-dpo2-q4-k-m.gguf |
4166 MB |
Compatible with llama.cpp and other GGUF runtimes.
occiglot.apache-2.0. This repository redistributes under the same terms; it grants no rights the upstream licence does not.We're not able to determine the quantization variants.
Base model
occiglot/occiglot-7b-de-en-instruct
ollama run hf.co/cstr/occiglot-7b-de-en-instruct-dpo2-GGUF