Model reference · open weights
Moxie is an open-weight language model from turtle89431. AxForge deploys and operates it for you on dedicated EU-owned hardware — with the licence handled where one is required.
Available as managed deployment — configured and operated for you on dedicated EU hardware, quoted per deployment.
What it is
| Released by | turtle89431 |
|---|---|
| Type | Language models |
| Task | Vision + text |
| Based on | turtle89431/Moxie |
| Released | 2026-09-09 |
| Popularity | 1k downloads / month |
| Licence | Commercial licence needed |
About
Model Card: Moxie Developer: Moxiegen Business Group Deployment: Moxie Cloud service (via Moxie Desktop application)
1. Model Summary Moxie is a specialized Large Language Model (LLM) and agent that serves as a demonstration of the "Moxiegen Method"—a proprietary algorithmic framework designed to strip redundant weight and computational overhead from LLMs. The end result of applying the Moxiegen Method is the ability to perform native inference with minimal GPU requirements, making previously impossible-to-run models accessible on consumer-grade hardware. Moxie demonstrates this capability by offering a suite of open weight models that have been algorithmically optimized by the Moxiegen method.
The foundation of the Method is a Lossless Pointer-Based Weight Mapping algorithm. Instead of storing redundant floating-point values repeatedly, the algorithm scans the model and maps identical numerical values to a single, centralized pointer reference. This process is entirely lossless: mathematical computation remains in full FP32 precision, but the memory overhead of storing duplicate weights is eliminated, allowing a 235-billion-parameter MoE model to run at speeds exceeding 160 tokens per second on a sub-$1,000 refurbished workstation.
Moxie is accessible through the Moxie Desktop application that is downloadable at Moxiegen.com. The application allows users to access the Moxie Cloud service, and to initiate a download of the Moxie LLM for native inference. The Moxie LLM is available as light, standard, and full versions, offering a range of inference capabilities.
2. Technical Specifications
3. Model Lineage & Base Architectures While Moxie utilizes custom weight-reduction techniques, its underlying reasoning and instruction-following capabilities are built upon a distillation of leading open-weight models:
Note: The Moxiegen Method prunes the overlaps in these weights to create a specialized, lighter, and faster-running version.
4. Technical Stack (Libraries) Moxie’s execution environment and the way it processes files and certain logic-heavy tasks rely on the following standard and specialized libraries:
5. Data, Storage, and Infrastructure Primary Weights Storage (Buckets):
6. Licensing & Compliance
7. Intended Use Moxie is intended to serve as a general inference engine and AI assistance for non-commercial desktop users. Primary use cases include:
8. Capabilities & Toolset Moxie has direct access to a suite of specialized tools, including:
9. Limitations
From the published model card. Full card on the HuggingFace links in the sidebar.
How it works
Using it via the API
Once AxForge deploys moxie for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (moxie below is illustrative; you get the exact model name on deployment.)
$ curl -sS https://api.axforge.ai/v1/chat/completions \
-H "Authorization: Bearer $AXFORGE_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"moxie","messages":[{"role":"user","content":"Hello"}]}'
Create an account — your API key is available in the console. 3M free tokens every 30 days with every new account.