Question Answering
GGUF
English
German
German
RAG
Retrieval
Question-Answering
Summarization
Reasoning
llama-cpp
gguf-my-repo
conversational
Instructions to use avemio/German-RAG-LLAMA-3.1-8B-MERGED-HESSIAN-AI-Q8_0-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 avemio/German-RAG-LLAMA-3.1-8B-MERGED-HESSIAN-AI-Q8_0-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 avemio/German-RAG-LLAMA-3.1-8B-MERGED-HESSIAN-AI-Q8_0-GGUF:Q8_0 # Run inference directly in the terminal: llama cli -hf avemio/German-RAG-LLAMA-3.1-8B-MERGED-HESSIAN-AI-Q8_0-GGUF:Q8_0
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf avemio/German-RAG-LLAMA-3.1-8B-MERGED-HESSIAN-AI-Q8_0-GGUF:Q8_0 # Run inference directly in the terminal: llama cli -hf avemio/German-RAG-LLAMA-3.1-8B-MERGED-HESSIAN-AI-Q8_0-GGUF:Q8_0
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 avemio/German-RAG-LLAMA-3.1-8B-MERGED-HESSIAN-AI-Q8_0-GGUF:Q8_0 # Run inference directly in the terminal: ./llama-cli -hf avemio/German-RAG-LLAMA-3.1-8B-MERGED-HESSIAN-AI-Q8_0-GGUF:Q8_0
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 avemio/German-RAG-LLAMA-3.1-8B-MERGED-HESSIAN-AI-Q8_0-GGUF:Q8_0 # Run inference directly in the terminal: ./build/bin/llama-cli -hf avemio/German-RAG-LLAMA-3.1-8B-MERGED-HESSIAN-AI-Q8_0-GGUF:Q8_0
Use Docker
docker model run hf.co/avemio/German-RAG-LLAMA-3.1-8B-MERGED-HESSIAN-AI-Q8_0-GGUF:Q8_0
- LM Studio
- Jan
- Ollama
How to use avemio/German-RAG-LLAMA-3.1-8B-MERGED-HESSIAN-AI-Q8_0-GGUF with Ollama:
ollama run hf.co/avemio/German-RAG-LLAMA-3.1-8B-MERGED-HESSIAN-AI-Q8_0-GGUF:Q8_0
- Unsloth Desktop
- Docker Model Runner
How to use avemio/German-RAG-LLAMA-3.1-8B-MERGED-HESSIAN-AI-Q8_0-GGUF with Docker Model Runner:
docker model run hf.co/avemio/German-RAG-LLAMA-3.1-8B-MERGED-HESSIAN-AI-Q8_0-GGUF:Q8_0
- Lemonade
How to use avemio/German-RAG-LLAMA-3.1-8B-MERGED-HESSIAN-AI-Q8_0-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull avemio/German-RAG-LLAMA-3.1-8B-MERGED-HESSIAN-AI-Q8_0-GGUF:Q8_0
Run and chat with the model
lemonade run user.German-RAG-LLAMA-3.1-8B-MERGED-HESSIAN-AI-Q8_0-GGUF-Q8_0
List all available models
lemonade list
- Atomic Chat
Update README.md
Browse files
README.md
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---
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license: llama3.1
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datasets:
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- avemio/
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- avemio/
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- avemio/
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- VAGOsolutions/SauerkrautLM-Fermented-GER-DPO
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- VAGOsolutions/SauerkrautLM-Fermented-Irrelevance-GER-DPO
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language:
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- en
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- de
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base_model: avemio/
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base_model_relation: merge
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pipeline_tag: question-answering
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tags:
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- gguf-my-repo
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---
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# avemio-digital/
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This model was converted to GGUF format from [`avemio/
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Refer to the [original model card](https://huggingface.co/avemio/
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## Use with llama.cpp
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Install llama.cpp through brew (works on Mac and Linux)
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### CLI:
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```bash
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llama-cli --hf-repo avemio-digital/
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```
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### Server:
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```bash
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llama-server --hf-repo avemio-digital/
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```
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Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well.
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Step 3: Run inference through the main binary.
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```
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./llama-cli --hf-repo avemio-digital/
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```
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or
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```
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./llama-server --hf-repo avemio-digital/
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```
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---
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license: llama3.1
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datasets:
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- avemio/German-RAG-CPT-HESSIAN-AI
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- avemio/German-RAG-SFT-ShareGPT-HESSIAN-AI
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- avemio/German-RAG-ORPO-ShareGPT-HESSIAN-AI
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- VAGOsolutions/SauerkrautLM-Fermented-GER-DPO
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- VAGOsolutions/SauerkrautLM-Fermented-Irrelevance-GER-DPO
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language:
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- en
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- de
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base_model: avemio/German-RAG-LLAMA-3.1-8B-MERGED-HESSIAN-AI
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base_model_relation: merge
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pipeline_tag: question-answering
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tags:
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- gguf-my-repo
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---
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# avemio-digital/German-RAG-LLAMA-3.1-8B-MERGED-HESSIAN-AI-Q8_0-GGUF
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This model was converted to GGUF format from [`avemio/German-RAG-LLAMA-3.1-8B-MERGED-HESSIAN-AI`](https://huggingface.co/avemio/German-RAG-LLAMA-3.1-8B-MERGED-HESSIAN-AI) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
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Refer to the [original model card](https://huggingface.co/avemio/German-RAG-LLAMA-3.1-8B-MERGED-HESSIAN-AI) for more details on the model.
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## Use with llama.cpp
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Install llama.cpp through brew (works on Mac and Linux)
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### CLI:
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```bash
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llama-cli --hf-repo avemio-digital/German-RAG-LLAMA-3.1-8B-MERGED-HESSIAN-AI-Q8_0-GGUF --hf-file German-RAG-llama-3.1-8b-merged-hessian-ai-q8_0.gguf -p "The meaning to life and the universe is"
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```
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### Server:
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```bash
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llama-server --hf-repo avemio-digital/German-RAG-LLAMA-3.1-8B-MERGED-HESSIAN-AI-Q8_0-GGUF --hf-file German-RAG-llama-3.1-8b-merged-hessian-ai-q8_0.gguf -c 2048
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```
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Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well.
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Step 3: Run inference through the main binary.
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```
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./llama-cli --hf-repo avemio-digital/German-RAG-LLAMA-3.1-8B-MERGED-HESSIAN-AI-Q8_0-GGUF --hf-file German-RAG-llama-3.1-8b-merged-hessian-ai-q8_0.gguf -p "The meaning to life and the universe is"
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```
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or
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```
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./llama-server --hf-repo avemio-digital/German-RAG-LLAMA-3.1-8B-MERGED-HESSIAN-AI-Q8_0-GGUF --hf-file German-RAG-llama-3.1-8b-merged-hessian-ai-q8_0.gguf -c 2048
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```
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