FreeToken: Run 290B+ frontier MoE models locally at interactive speeds
SysPsych · reddit · 2026-08-22
FreeToken is an edge-native Mixture-of-Experts (MoE) serving engine designed to run frontier-scale open-weight models on consumer hardware. Key features include:
- Fast Runtime: Bandwidth-adaptive CPU–GPU co-execution and double-buffered prefill streaming.
- Semantic-Aware Caching: Avoids redundant recomputation for agentic context edits.
- Elastic Memory Management: Dynamic VRAM reallocation without restarting.
- Broad Support: Compatible with models like DeepSeek-V4 and Qwen3.6, offering OpenAI/Anthropic-compatible APIs on RTX 30/40/50 series GPUs.
More from coding & agent
- Developer re-implements Pyramids model based on ViT-B/32 — cephaloform · 2026-08-22
- Building a CI diagnosis agent: verifying hidden states and test cases — No-Cheetah-4745 · 2026-08-22
- Semantic API MCP: Natural Language Search for 700+ API Endpoints — modelcontextprotocol · 2026-08-22
- Remote MCP Server Released: Integrates 10 Dev Utilities like Base64, DNS Lookup — modelcontextprotocol · 2026-08-22
- Text2SQL or Semantic Layer? A Practitioner Dilemma for Data Agent Architecture — Academic-Tie6223 · 2026-08-22
- Claude Code's Ultracode praised for research-oriented workflows — iamsahaj_xyz · 2026-08-22