Apertus 70B Instruct
"70B · MLX 4-bit · omlx (Mac Studio)"
Identité
Alias gatewayailiance/apertus-70b
Base modelswiss-ai/Apertus-70B-Instruct-2509
Ownerailiance
Licenseapache-2.0
Architecturemlx
QuantizationMLX 4-bit
Memory40 GB
Hoststudio (omlx :8500, Mac Studio M3 Ultra)
Kindquantized
Provenance · Annex IV §1(c)
{
"_doc": "EU AI Act Annex IV §1(c) — model lineage / supply-chain record.",
"deployment_id": "ailiance/apertus-70b",
"deployed_at_utc": "2026-04-22T00:00:00Z",
"deployed_on_host": "studio (Mac Studio M3 Ultra)",
"served_via": "uvicorn FastAPI worker @ studio:9301, MLX inference (Metal)",
"source": {
"provider": "Swiss AI Initiative (EPFL / ETHZ / CSCS)",
"huggingface_repo": "swiss-ai/Apertus-70B-Instruct-2509",
"huggingface_url": "https://huggingface.co/swiss-ai/Apertus-70B-Instruct-2509",
"repo_commit_sha": "ec382cbace70",
"repo_last_modified_utc": "2026-04-21T09:39:24Z",
"license_spdx": "apache-2.0",
"license_url": "https://huggingface.co/swiss-ai/Apertus-70B-Instruct-2509/blob/main/LICENSE"
},
"weights_file": {
"filename": "(MLX 8-bit conversion in /Users/clems/ailiance-mac-tuner/models/Apertus-70B-Instruct-2509)",
"size_bytes": null,
"sha256_expected": null,
"comment": "Original safetensors checksums on HF; MLX local conversion produced via mlx_lm.convert. Reconversion deterministic from upstream commit."
},
"architecture": {
"family": "Apertus (Llama-style dense)",
"total_parameters": 70599864480,
"active_parameters_per_token": 70599864480,
"attention": "standard MHA",
"context_length_native": 65536
},
"quantization": {
"method": "MLX 8-bit",
"produced_by": "Ailiance (mlx_lm.convert from upstream BF16)"
},
"modifications_post_download": [
"MLX 8-bit quantisation (mlx_lm.convert)",
"Domain LoRA adapters loaded at runtime — see output/adapters/apertus/"
],
"intended_use": "Public chat playground at https://ailiance.fr/chat/ailiance/apertus-70b — multilingual EU reasoning + electronics/hardware domains via LoRA adapters.",
"out_of_scope": [
"Healthcare diagnosis without clinician review",
"Legal advice",
"Autonomous safety-critical decisions"
]
}Datasets
Dataset provenance is available on the model's HuggingFace page: https://huggingface.co/swiss-ai