Instructions to use Lewdiculous/Eris_PrimeV3.05-Vision-7B-GGUF-IQ-Imatrix 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 Lewdiculous/Eris_PrimeV3.05-Vision-7B-GGUF-IQ-Imatrix 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 Lewdiculous/Eris_PrimeV3.05-Vision-7B-GGUF-IQ-Imatrix:Q4_K_M # Run inference directly in the terminal: llama cli -hf Lewdiculous/Eris_PrimeV3.05-Vision-7B-GGUF-IQ-Imatrix:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Lewdiculous/Eris_PrimeV3.05-Vision-7B-GGUF-IQ-Imatrix:Q4_K_M # Run inference directly in the terminal: llama cli -hf Lewdiculous/Eris_PrimeV3.05-Vision-7B-GGUF-IQ-Imatrix:Q4_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 Lewdiculous/Eris_PrimeV3.05-Vision-7B-GGUF-IQ-Imatrix:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf Lewdiculous/Eris_PrimeV3.05-Vision-7B-GGUF-IQ-Imatrix:Q4_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 Lewdiculous/Eris_PrimeV3.05-Vision-7B-GGUF-IQ-Imatrix:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf Lewdiculous/Eris_PrimeV3.05-Vision-7B-GGUF-IQ-Imatrix:Q4_K_M
Use Docker
docker model run hf.co/Lewdiculous/Eris_PrimeV3.05-Vision-7B-GGUF-IQ-Imatrix:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use Lewdiculous/Eris_PrimeV3.05-Vision-7B-GGUF-IQ-Imatrix with Ollama:
ollama run hf.co/Lewdiculous/Eris_PrimeV3.05-Vision-7B-GGUF-IQ-Imatrix:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use Lewdiculous/Eris_PrimeV3.05-Vision-7B-GGUF-IQ-Imatrix with Docker Model Runner:
docker model run hf.co/Lewdiculous/Eris_PrimeV3.05-Vision-7B-GGUF-IQ-Imatrix:Q4_K_M
- Lemonade
How to use Lewdiculous/Eris_PrimeV3.05-Vision-7B-GGUF-IQ-Imatrix with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Lewdiculous/Eris_PrimeV3.05-Vision-7B-GGUF-IQ-Imatrix:Q4_K_M
Run and chat with the model
lemonade run user.Eris_PrimeV3.05-Vision-7B-GGUF-IQ-Imatrix-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Update README.md
Browse files
README.md
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This repository hosts GGUF-IQ-Imatrix quants for [Nitral-AI/Eris_PrimeV3.05-Vision-7B](https://huggingface.co/Nitral-AI/Eris_PrimeV3.05-Vision-7B).
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This version was initially on the **#experimental** side,
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Thanks for the solid work, [@Nitral-AI](https://huggingface.co/Nitral-AI/).
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This is a #multimodal model that also has vision capabilities. Read the full card information if that is your use case.
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This repository hosts GGUF-IQ-Imatrix quants for [Nitral-AI/Eris_PrimeV3.05-Vision-7B](https://huggingface.co/Nitral-AI/Eris_PrimeV3.05-Vision-7B).
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This version was initially on the **#experimental** side, after many turns of converstation it can suffer from issues like: <br>
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`A close bond... far from home... where Herp... and Derp... together... begin to...` <br>
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Thanks for the solid work, [@Nitral-AI](https://huggingface.co/Nitral-AI/), you'll get there.
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This is a #multimodal model that also has vision capabilities. Read the full card information if that is your use case.
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