Where boundaries are made to be pushed.
The experimental research branch of LibertAI — open weights, novel inference architectures and agent systems for the next generation of private, decentralized intelligence.
- 76k+
- downloads
- 10
- projects
- 36
- open repos
- 2
- LibertAI models
Model releases
Open weights, quantization notes and reproducible benchmark context.
Agent systems
Runtime experiments, evaluation harnesses and tool interfaces for private agents.
Infrastructure
Search, confidential compute and payment primitives that support the product stack.
Models
Open-weight releases
Decision models, calibrated quants and layout-compatible transcodes, each with the measurements we can reproduce. Losses stated next to wins.
Deem 9B
ShippedThe strongest open decision model we know of. Typed, calibrated decisions on long state, from a letter-slot readout, in one prefill pass.
- JevBench hard (composite)
- 65.8
- JevBench easy / original
- 100.0 / 91.7
- Judge-tier verification
- 16/17
- Long-state P50
- 788ms
Deem 0.8B
ShippedThe full Deem decision stack on CPU. Typed, calibrated choices, scores, and yes/no decisions served by our own Rust runtime. No GPU required.
- Long-policy hold-out
- 96.3%
- Short-form latency
- 362ms
- Resident memory
- 0.9GB
- Exact-law zero-count
- 1.000
DeepSeek-V4.1-Flash-1017 EXL3 2.9bpw
ShippedOur most downloaded repo this month: a 196.3 GiB EXL3 quant of 1017 that fits two GB10 boxes with 256K context. The Engram tables stay in the base repo, and the quality loss is 1.8% code and 0.4% prose.
- Weight size
- 196.3 GiB
- Held-out code ppl
- 1.9094
- Held-out prose ppl
- 6.4520
- Context
- 256K
DeepSeek-V4.1-Flash-1017 NVFP4
PreviewA 400 GiB NVFP4 transcode of 1017 in NVIDIA's ModelOpt layout. The expert weights are bit-exact; the Engram tables are lossy at cosine 0.9934. Not yet served by us.
- Repo size
- 399.5 GiB
- Expert scales
- Bit-exact
- Engram cosine
- 0.9934
- Tensor layout
- 188,245
DeepSeek-V4.1-Flash-1017 EXL3 3.5bpw
PreviewThe higher-quality 1017 EXL3 build. 239.9 GiB, better held-out perplexity than 2.9bpw, and too large for a two-node GB10 pair, so it belongs on a three-node ring.
- Weight size
- 239.9 GiB
- Held-out code ppl
- 1.8895
- Held-out prose ppl
- 6.4341
- Node budget
- 3
MiMo-V2.6-Flash-MOPD NVFP4
PreviewThe first W4A4 NVFP4 transcode of Xiaomi's 309B MOPD model. Experts are bit-exact at 169.9 GiB, and the activation scales are inherited from the RL sibling. Not served yet.
- Weight size
- 169.9 GiB
- Expert values
- Bit-exact
- Index entries
- 145,273
- Activation scales
- 94
Projects
Releases and research tracks
GLM-5.3-Flash on Blackwell
The first public 4-bit quantization of GLM-5.3-Flash, and the CUDA kernel that made a 320B multimodal model actually run on workstation Blackwell GPUs instead of only loading on them.
Read project →NVFP4 model releases
GGUF and safetensors builds of flagship open models with calibrated NVFP4 tensors, benchmarked honestly against stock K-quants on Blackwell hardware.
Read project →Consensus web search
A search API that queries Google, Bing and DuckDuckGo in parallel from Aleph Cloud's decentralized network and ranks results by cross-engine agreement.
Read project →LibertAI Code
A coding agent for the terminal and desktop that runs open models on confidential, TEE-backed inference, with no training on your code.
Read project →Conscio
The consciousness layer for LLM agents: persistent memory, attention, drives, self-monitoring, reflection, and autonomous action in one inspectable runtime.
Read project →MCP server
A Model Context Protocol server built into the CLI that gives Claude Code, Cursor, Cline and any other MCP client access to consensus web search.
Read project →Avatar
A browser avatar you can talk to, combining a 3D stage, browser speech APIs and LibertAI chat completions, with conversations kept in your browser.
Read project →GLM-5.3-Flash on vLLM, on GB10
A hand-written sparse-MLA CUDA kernel for sm_121 and a fix for vLLM's uninitialised NVFP4 MoE activation scale, which together take GLM-5.3-Flash from degenerate output to correct serving on a two-node DGX-Spark-class cluster.
Read project →Post-quantum blockchain security review
An adversarial review of 30 live networks, migration efforts, standards proposals and on-chain verifiers, with high-priority findings moving through responsible disclosure.
Read project →Open weights
Published on Hugging Face
Our open-weight releases and quantized builds of the open models we serve, published under LibertAIDAI with benchmark numbers in every model card. Counts are from October 2026. The 1017 EXL3 quants lead the org's downloads this month.
View on Hugging Face ↗- model repos
- 29
- downloads
- 76k+
- quantized builds
- 25
- LibertAI models
- 2
Papers
Papers and preprints
Full papers, preprints and timestamped drafts. Every entry carries its manuscript date and the UTC timestamp it was first published here.
Priority and timestamp registry →Physics / Preprint
A Bose-Einstein condensate analogue of Misner space: a design study of the kinematic image-sum mechanism
Read →Physics / Preprint
A Gaia search for boost-holonomy relics: the full-sky co-spatial radial-velocity pair census
Read →Physics / Preprint
A search for boost-holonomy relics in the gravitational-wave catalog
Read →Physics / Preprint
Acquisition, not assembly: the classical manufacture problem for a boost-holonomy time machine, and the three routes to obtaining one
Read →Physics / Preprint
Initial data for a time machine from dust: an explicit composite construction with a certified ordinary-density scaling regime
Read →Physics / Preprint
Protection without teeth: semiclassical chronology protection on the Ori time machine
Read →Physics / Preprint
Quotient structure and on-generator diagnostics of vacuum traveling-wave time machines
Read →Physics / Preprint
The engineering ledger of a time machine: mass, wrap, siting, and the resource class of an acquired relic
Read →Physics / Preprint
Time travel: a critical review
Read →AI / Preprint
Deem: Open Machine Reflexes, Measured Honestly on Tare
Read →AI / Preprint
Prefill-only refusal suppression and stacked abliteration: an agent-run abliteration study of GLM-5.3-Flash
Read →Notes
Methodology and results
Writeups with methodology, the numbers that held up, and the ones that did not.