Artemis 31B v1.2 — NVIDIA NVFP4 checkpoint

This is a calibrated NVIDIA NVFP4 conversion of TheDrummer/Artemis-31B-v1.2, a fine-tune of google/gemma-4-31B. It is provided as a compressed-tensors safetensors checkpoint for runtimes that support Gemma 4 and nvfp4-pack-quantized. The original fine-tune is credited to TheDrummer; this repository contains a precision conversion.

The checkpoint has two safetensors shards totaling 20,446,828,448 bytes (19.04 GiB), plus its configuration, tokenizer, chat template, processor configuration, recipe, and conversion manifest. Download the whole repository to use this format. The two weight shards alone are insufficient.

Conversion details

  • Source: TheDrummer/Artemis-31B-v1.2, revision 05d84790fceecefac4ee2adfb7cf33fdce2029f1.
  • Quantization: LLM Compressor's NVFP4 scheme, with 32 calibration samples of 2,048 tokens from mit-han-lab/pile-val-backup.
  • Targets: eligible Linear layers. Vision and audio layers, embeddings, and lm_head were excluded from NVFP4 quantization.
  • Storage format: compressed-tensors with nvfp4-pack-quantized weights. The saved checkpoint contains 410 NVFP4 weight tensors.
  • The tokenizer and chat template match the source checkpoint by SHA-256.

Validation and compatibility

Both safetensors shards and the tensor index were inspected successfully; all 2,418 indexed tensors were found. A generated response from this v1.2 checkpoint in vLLM or Transformers has not been verified. Runtime compatibility, multimodal operation, and output quality should be tested in the target environment.

The separately converted NVFP4 GGUF scored 291/299 (97.3%) on a zero-shot direct-answer run of the ARC-Challenge validation split, versus 293/299 (98.0%) for a BF16 GGUF from the same v1.2 source. Only the GGUFs were run in KoboldCpp 1.121 for this comparison. Their results do not establish that this compressed-tensors checkpoint loads or generates correctly in another runtime.

Attribution and terms

The original fine-tune is by TheDrummer, based on Gemma 4 31B. Follow the terms that apply to the source fine-tune and base model. The source repository did not declare a license in its model metadata when this card was prepared, so no license is asserted here.

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