Instructions to use IDFluff/oxcoder-9b-oq6e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use IDFluff/oxcoder-9b-oq6e with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download IDFluff/oxcoder-9b-oq6e --local-dir oxcoder-9b-oq6e
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
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Download README.md from IDFluff/oxcoder-9b-oq6e: direct link, hf CLI and curl.
- Browser
- Download file 716 Bytes
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https://huggingface.co/IDFluff/oxcoder-9b-oq6e/resolve/main/README.md
- Command line
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hf download hf://IDFluff/oxcoder-9b-oq6e/README.md
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curl -L -o README.md https://huggingface.co/IDFluff/oxcoder-9b-oq6e/resolve/main/README.md
716 Bytes
| base_model: | |
| - OrionLLM/OxCoder-9B | |
| tags: | |
| - omlx | |
| - mlx | |
| ## about | |
| oq6e quantized version of OxCoder | |
| ## imatrix used | |
| Default oMLX imatrix | |
| ## rough performance metrics from quick tests/benchmarks | |
| - roughly 445 tks/s prefill, 16 tk/s decode on m3 pro 36gb ram in practice on a fresh pi agent | |
| - context benchmark from omlx for 131k context length started at 2k t/s prefill, finished at ~600 t/s | |
| - throughput benchmark did not upload because of certain flags used but roughly matched above numbers at 128k | |
| - ANE prefill with tweaked settings | |
| - SpecPrefill with qwen3.5 0.8b model | |
| ## omlx throughput test with ane prefill disabled | |
| https://omlx.ai/benchmarks/performance/tflpzdtq | |
| ## omlx version used | |
| 0.7.0 dev4 |