tessera-hypernetwork 1.3.0

Generate per-session LoRA adapters for inference tasks using hypernetwork synthesis

Tessera Hypernetwork

Generate per-session LoRA adapters for inference tasks using hypernetwork synthesis.

Features

Metadata-to-LoRA: Generate adapters from structured user metadata (JSON) Text-to-LoRA: Generate adapters from natural language descriptions Doc-to-LoRA with SHINE: Generate adapters from document content using SHINE (ICML 2026) for long-context internalization FastAPI: Modern async Python web framework OpenAI-compatible API: Easy integration with existing tooling Installation pip install tessera-hypernetwork Quick Start

Commands

Generate:

From metadata (JSON string or file)

tessera generate
--from-metadata '{"task": "classification", "domain": "medical"}'
--base-model mistralai/Mistral-7B-Instruct-v0.2
--rank 16
--save ./adapter.safetensors

From text description:

tessera generate
--from-text "Medical diagnosis assistant"
--base-model mistralai/Mistral-7B-Instruct-v0.2
--rank 16
--save ./adapter.safetensors

From document:

tessera generate
--from-doc ./document.txt
--base-model mistralai/Mistral-7B-Instruct-v0.2
--rank 16
--save ./adapter.safetensors

'Generate' Sub-Commands:

--from-metadata: JSON metadata string or file path
--from-text: Natural language description
--from-doc: Document content or file path
--base-model: Base model identifier (default: mistralai/Mistral-7B-Instruct-v0.2)
--rank: LoRA rank (default: 16)
--save: Output path for safetensors file (required)
--mode: Generation mode: doc, metadata, or text (auto-inferred if not specified)
Serve

Start the hypernetwork server:

tessera serve --port 8000 --host 0.0.0.0 Options:

--port: Port to serve on (default: 8000)
--host: Host to bind to (default: 0.0.0.0)
--qdrant-url: Qdrant vector database URL (optional)
--workers: Number of worker processes (default: 1)
Health

Check server health status:

tessera health --url http://localhost:8000 Options:

--url: Server URL (default: http://localhost:8000)

List:

List available base models and their dimensions:

tessera list

LoRAX Adapter Management

Import, list, and unload adapters:

Import an adapter:

tessera lorax import-adapter
--path ./adapter.safetensors
--name my-adapter
--base-model mistralai/Mistral-7B-Instruct-v0.2
--server-url http://localhost:8000

List loaded adapters:

tessera lorax list-adapters --server-url http://localhost:8000

Unload an adapter:

tessera lorax unload --name my-adapter --server-url http://localhost:8000

API Endpoints

The hypernetwork service provides a FastAPI server with the following endpoints:

POST /v1/generate - Generate a LoRA adapter for a given prompt
GET /health - Health check endpoint
POST /v1/adapters - Import adapter safetensors
GET /v1/adapters - List loaded adapters
DELETE /v1/adapters/{name} - Unload adapter \

License
Apache-2.0