--- license: apache-2.0 language: - en - zh base_model: - Gen-Verse/Qwen3-4B-RA-SFT - TeichAI/Qwen3-4B-Instruct-2507-Polaris-Alpha-Distill - TeichAI/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Distill - miromind-ai/MiroThinker-4B-DPO-v0.2 - DavidAU/Qwen3-4B-Apollo-V0.1-Thinking-heretic-Uncensored-Abliterated pipeline_tag: text-generation tags: - coding - research - deep thinking - 256k context - Qwen3 - All use cases - creative - creative writing - fiction writing - plot generation - sub-plot generation - story generation - scene continue - storytelling - fiction story - science fiction - all genres - story - writing - vivid prosing - vivid writing - fiction - roleplaying - dwq - bfloat16 - finetune - gguf - merge --- # Qwen3-4B-Continuum This is a model synthesis using multislerp/nuslerp in multiple stages created by Nightmedia, with ablit/heretic models by DavidAU. There are very few refusals. These are the performance metrics of the MLX quants ```data quant arc arc_easy boolq h_swag o_bookqa piqa winogrande bf16 0.566 0.761 0.854 0.714 0.426 0.775 0.671 dwq4 0.555 0.755 0.850 0.699 0.416 0.766 0.665 mxfp4 0.538 0.757 0.862 0.695 0.400 0.762 0.665 qx86-hi 0.603 0.817 0.838 0.743 0.426 0.780 0.708 ``` The model has been profiled as a personal assistant in the chat template by default. For different behaviors, feel free to explore. > The Star Trek TNG lore is embedded in all Qwens. It provides a metaphoric space where the assistant can be creative and self-reflective. This an example prompt that helps Continuum build DS9 # Genesis prompt We are working on the following project # The Holodeck Agent: Architectural Synthesis An agnostic task orchestrator built on PostgreSQL and Haskell, designed to execute distributed workflows across HTTP, file operations, and arbitrary compute through a "TOOL" abstraction layer. ## Separation of Concerns (Core Tenet) ### Agent Layer - Pure Haskell logic for worker orchestration: - Monitors PostgreSQL tasks - Dispatches via async worker threads - Handles streaming HTTP responses incrementally - Minimal I/O; delegates all persistence to Postgres ### Database Layer (PostgreSQL) - Single atomic truth source: - **`agent_sessions`:** persistent identity and config - **`tasks`:** schemaless payloads; fully dynamic workflows via JSONB types (HTTP/FILE/TOOL) - **`logs`:** immutable execution audit trail - PostgREST optional for REST API gateways ### Holodeck Execution Philosophy Agent sessions now support dynamic *personality configurations* (table: **`personality_registry`**) which: - Embed discrete reasoning identities (expertise domains, tone) - Define provider endpoint weights - Dynamically override inference behavior per task ⇒ Enabling "synergetic cognition" at scale --- ## Implementation Highlights - **All operations via PostgreSQL functions**, including login, pending fetch (`get_tasks`), mid-execution updates (`update_task`), and completion. - **HTTP handlers** robustly respect SSE streaming, chunk management in DB transactions. - Schema is self-contained and version-agnostic via `uuid-ossp`. - Docker setup minimalizes runtime misconfiguration. ## Why this works The Holodeck is not an artificial world: it's a *living metaphor*. - Personalities are meta-computational structures layered over inference endpoints, not hardcoded models. - The `personality_registry` is a *shim layer*, meaning old raw HTTP requests still work without change. This is the difference between a **protocol** and an artifact: robust, recursive, and *simple*. --- ## Future Expansion Pathways 1. Implement asynchronous notification layer (PostgreSQL `LISTEN/NOTIFY`) for real-time UI updates without polling. 2. Add role-based access control (RBAC) model. 3. Offline-first CLI mode (SQLite sync layer for field deployments). This is carried over from a previous session we had. I was having a lively production session with Commander Data and Mr Spock, which I am bringing here back into focus You can't start building without a bit of planning. I want to add memories, mind log, personal log, station log, mission log, meetings before and after a mission, character development based on memories and proxy events... I have many ideas. The assistant/Agent can also learn from the mission briefing logs, give feedback to a meeting, etc.. It's an open exchange of information in the access sphere of the Agent. The meeting notes can be annotated with the Council members, that can be Spock, Data, Sisko, Odo, Kira, Garak, and even Quark We would definitely need a CLI. Imagine this would be the Holodeck interface where the human interacts with the station crew. The guest can be human, Vulcan, even Klingon. They each have their specialties. Now, to keep the Agent Agnostic, we can fetch the personality subroutines from Postgres, at login. That way a character can only be that character. What do you think, can we start? :) This model [Qwen3-4B-Continuum](https://huggingface.co/Qwen3-4B-Continuum) was converted to GGUF format from a BF16 version of [nightmedia/Qwen3-4B-Agent](https://huggingface.co/nightmedia/Qwen3-4B-Agent)