tessera-hypernetwork · PyPI
Skip to main content<br>Switch to mobile version
Warning
You are using an unsupported browser, upgrade to a newer version.
Warning
Some features may not work without JavaScript. Please try enabling it if you encounter problems.
Search PyPI
Search
tessera-hypernetwork 1.0.10
pip install tessera-hypernetwork
Copy PIP instructions
Latest release
Released:<br>Jun 15, 2026
Generate per-session LoRA adapters for inference tasks using hypernetwork synthesis
Navigation
Verified details
These details have been verified by PyPI<br>Maintainers
Terradev
Unverified details
These details have not been verified by PyPI<br>Project links
Homepage
Issues
Repository
Meta
License Expression: Apache-2.0
SPDX<br>License Expression
Author: Tessera Contributors
Tags
lora
peft
hypernetwork
machine-learning
nlp
Requires: Python >=3.8
Provides-Extra:<br>dev
Classifiers
Development Status
3 - Alpha
Intended Audience
Developers
Science/Research
Programming Language
Python :: 3
Python :: 3.8
Python :: 3.9
Python :: 3.10
Python :: 3.11
Topic
Scientific/Engineering :: Artificial Intelligence
Report project as malware
Project description
Tessera Hypernetwork
Generate per-session LoRA adapters for inference tasks using hypernetwork synthesis.
Features
Metadata-to-LoRA: Generate adapters from structured user metadata (JSON)<br>Text-to-LoRA: Generate adapters from natural language descriptions<br>Doc-to-LoRA with SHINE: Generate adapters from document content using SHINE (ICML 2026) for long-context internalization<br>FastAPI: Modern async Python web framework<br>OpenAI-compatible API: Easy integration with existing tooling<br>Installation<br>pip install tessera-hypernetwork<br>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<br>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<br>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
Project details
Verified details
These details have been verified by PyPI<br>Maintainers
Terradev
Unverified details
These details have not been verified by PyPI<br>Project links
Homepage
Issues
Repository
Meta
License Expression: Apache-2.0
SPDX<br>License Expression
Author: Tessera Contributors
Tags
lora
peft
hypernetwork
machine-learning
nlp
Requires: Python >=3.8
Provides-Extra:<br>dev
Classifiers
Development Status
3 - Alpha
Intended Audience
Developers
Science/Research
Programming Language
Python :: 3
Python :: 3.8
Python :: 3.9
Python :: 3.10
Python :: 3.11
Topic
Scientific/Engineering :: Artificial Intelligence
Release history
Release notifications |<br>RSS feed
This version
1.0.10
Jun 15, 2026
1.0.9
Jun 15, 2026
1.0.8
Jun 15, 2026
1.0.7
Jun 15, 2026
1.0.6
Jun 15, 2026
1.0.5
Jun 15, 2026
1.0.4
Jun 15, 2026
1.0.3
Jun 15, 2026
1.0.2
Jun 15, 2026
1.0.1
Jun 15, 2026
1.0.0
Jun 15, 2026
0.2.20
Jun 15, 2026
0.2.19
Jun 15, 2026
0.2.18
Jun 15,...