progresspals
Private AI clusters pooled over the internet, on your hardware. No VPS, no API fees.
ProgressPals lets a small group of trusted people pool their GPUs and run massive open-source language models that no single machine could host on its own. One CLI, one invite link, one local OpenAI-compatible endpoint.
- 🌐 Website: https://progresspals.com
- 📚 Docs: https://progresspals.com/docs
Install
pip install progresspals
Requires Python 3.10+ on Linux or macOS. Windows is supported via WSL2.
Quick start
# 1. Authenticate (one-time)
pals init
# 2. Start a new private swarm
pals create Qwen/Qwen3-32B
# 3. Mint an invite for a teammate
pals invite create
# 4. They join with one command
pals join Qwen/Qwen3-32B <invite-token>
# 5. Expose an OpenAI-compatible endpoint at localhost:8080
pals serve
Then point Cursor, Aider, Continue, n8n, the OpenAI SDK, or anything that speaks /v1/chat/completions at http://localhost:8080/v1.
Supported models
Pass any of these HuggingFace model IDs directly to pals create:
| Family | Sizes |
|---|---|
| Qwen 3 | 0.6B, 1.7B, 4B, 8B, 14B, 32B (dense), 30B-A3B, 235B-A22B (MoE) |
| Qwen 3-Coder | 30B-A3B, 480B-A35B |
| Qwen 2.5 | 0.5B, 1.5B, 3B, 7B, 14B, 32B, 72B |
| Qwen 2.5-Coder | 0.5B, 1.5B, 3B, 7B, 14B, 32B |
| Llama 2 / 3 / 3.1 / 3.3 | up to 405B |
| Mixtral | 8x7B, 8x22B |
| Falcon | 40B, 180B |
| BLOOM | 176B |
How it works
The model is split across machines. Each peer holds a slice of the transformer layers. Inputs flow through the chain one peer at a time and stream back. Pipeline parallelism over libp2p, with per-swarm AES-256-GCM encryption on activation tensors between peers.
Swarms are invite-only. No public discovery, no leaderboard, no telemetry. Membership lives as a per-swarm allow-list and is enforced server-side every ~30 seconds.
What's inside
- Pipeline-parallel distributed inference for 8 model families
- libp2p peer discovery + NAT traversal
- Per-swarm AES-256-GCM activation encryption with HKDF-SHA256 key derivation
- Single-use, regenerable invite tokens
- Live peer dashboard (
pals dash) — TUI with peer health, layer coverage, RPC stats - OpenAI-compatible HTTP server (
pals serve) —/v1/chat/completions,/v1/models, SSE streaming - Member controls (
pals peers list / kick,pals invite list / revoke) - Optional INT8 / NF4 quantization via bitsandbytes for smaller VRAM footprints
License
Apache License 2.0. See LICENSE and NOTICE for full text and attributions.
Links
- Website: https://progresspals.com
- Documentation: https://progresspals.com/docs
- Contact: progresspals@gmail.com
1 maintainer
Metadata
1 maintainer
Release files for progresspals 0.1.2
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| File | Size | Uploaded | Provenance | Actions |
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| File | Interpreter | ABI | Platform | Actions Reset |
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| progresspals-0.1.2-py3-none-any.whl | Python 3 | none | any | Details for progresspals-0.1.2-py3-none-any.whl |
Total release size: 460.2 kB
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