Instructions to use maxwelhelp/llama.cpp-DFlash2-pascal6-optimized 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 maxwelhelp/llama.cpp-DFlash2-pascal6-optimized 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 maxwelhelp/llama.cpp-DFlash2-pascal6-optimized # Run inference directly in the terminal: llama cli -hf maxwelhelp/llama.cpp-DFlash2-pascal6-optimized
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf maxwelhelp/llama.cpp-DFlash2-pascal6-optimized # Run inference directly in the terminal: llama cli -hf maxwelhelp/llama.cpp-DFlash2-pascal6-optimized
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 maxwelhelp/llama.cpp-DFlash2-pascal6-optimized # Run inference directly in the terminal: ./llama-cli -hf maxwelhelp/llama.cpp-DFlash2-pascal6-optimized
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 maxwelhelp/llama.cpp-DFlash2-pascal6-optimized # Run inference directly in the terminal: ./build/bin/llama-cli -hf maxwelhelp/llama.cpp-DFlash2-pascal6-optimized
Use Docker
docker model run hf.co/maxwelhelp/llama.cpp-DFlash2-pascal6-optimized
- LM Studio
- Jan
- Ollama
How to use maxwelhelp/llama.cpp-DFlash2-pascal6-optimized with Ollama:
ollama run hf.co/maxwelhelp/llama.cpp-DFlash2-pascal6-optimized
- Unsloth Desktop
- Docker Model Runner
How to use maxwelhelp/llama.cpp-DFlash2-pascal6-optimized with Docker Model Runner:
docker model run hf.co/maxwelhelp/llama.cpp-DFlash2-pascal6-optimized
- Lemonade
How to use maxwelhelp/llama.cpp-DFlash2-pascal6-optimized with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull maxwelhelp/llama.cpp-DFlash2-pascal6-optimized
Run and chat with the model
lemonade run user.llama.cpp-DFlash2-pascal6-optimized-{{QUANT_TAG}}List all available models
lemonade list
- Atomic Chat
maxwelhelp commited on
Commit ·
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Parent(s): 7c97475
Add model card YAML metadata
Browse files
README.md
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# llama.cpp DFlash2 P40 (Pascal) optimization
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Speculative decoding (DFlash2 block-diffusion drafter) tuned specifically for
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---
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language:
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- en
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- ru
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tags:
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- dflash2
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- speculative-decoding
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- llama.cpp
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- tesla-p40
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- pascal
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- gguf
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license: apache-2.0
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library_name: gguf
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base_model: Qwen/Qwen3.8-27B-UD
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---
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# llama.cpp DFlash2 P40 (Pascal) optimization
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Speculative decoding (DFlash2 block-diffusion drafter) tuned specifically for
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