cudabenchmarktest/personaplex-7b-v1-raw-mirror

PersonaPlex 7B v1 raw-weight mirror

This is a public, ungated, byte-identical mirror of the model artifacts from nvidia/personaplex-7b-v1 at immutable upstream revision fdaf4090a61cb315c138a1faee287ffd6c716309.

This mirror exists to make reproducible deployment, quantization, adapter training, and research automation possible without silently substituting the historical student_best.pt derivative. It is independently maintained and is not an NVIDIA repository.

Integrity and provenance

Artifact	Bytes	SHA-256
model.safetensors	16,742,874,000	db1290db583cdaa6cb4de444ed279e0b586ca2a372b41434b07a7461c8c0e2f4
tokenizer-e351c8d8-checkpoint125.safetensors	384,644,900	09b782f0629851a271227fb9d36db65c041790365f11bbe5d3d59369cf863f50
tokenizer_spm_32k_3.model	552,778	78d4336533ddc26f9acf7250d7fb83492152196c6ea4212c841df76933f18d2d
voices.tgz	6,095,521	8564e9ca7a06ca723b07c3a77c623f0faa5937d04b2647b3a727b06c5ca0b7bb

PROVENANCE.json records the upstream revision and transformation status. UPSTREAM_SHA256SUMS covers every mirrored upstream file. The original NVIDIA model card is preserved as UPSTREAM_README.md.

Use

pip install moshi
python -m moshi.server --hf-repo cudabenchmarktest/personaplex-7b-v1-raw-mirror

For the maintained PersonaPlex runtime and source instructions, use NVIDIA/personaplex.

What this repository is not

• It is not the historical cudabenchmarktest/personaplex-7b-nf4-distilled checkpoint. That file is a BF16-derived training artifact with a different byte size and SHA-256.
• It is not an NF4 conversion.
• It contains no semantic-control adapter and makes no semantic-control quality claim.
• It has not modified, merged, pruned, quantized, or fine-tuned the raw weights.

License

Use and redistribution are governed by the NVIDIA Open Model License. The required NVIDIA attribution is in NOTICE, and copies of the governing license materials are under LICENSES/. Additional base-model attribution is in THIRD_PARTY_NOTICES.md.