Instructions to use vmlinux/Artemis-31B-v1.2-Q4_K_M-NInfer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NInfer
How to use vmlinux/Artemis-31B-v1.2-Q4_K_M-NInfer with NInfer:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Artemis 31B v1.2 Q4_K_M for NInfer
A NInfer conversion of TheDrummer's Artemis 31B v1.2, based on Bartowski's Q4_K_M GGUF. The conversion preserves the existing quantization.
Built for a single NVIDIA Tesla V100 with 32 GB VRAM (sm_70, CUDA 12.8).
I run the JimmyMax/ninfer-v100 fork
at revision f4aab2ae632afa32857bb15c32eafb29851cea47 with the included
Artemis compatibility patch.
I've used this build extensively for creative writing, and I love the results.
Download artemis-Q4_K_M-text.ninfer (19.53 GB). My Artemis settings:
ninfer-serve ./artemis-Q4_K_M-text.ninfer \
--max-context 262144 --max-concurrency 1 \
--kv-dtype int8 --prefill-chunk 2048 \
--host-kv-mib 512 --ngram-draft-tokens 0
MTP is off for this build.
Thanks to TheDrummer for the model, Bartowski for the Q4_K_M quant, and JimmyMax and the NInfer contributors for the engine.
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