Qwen3-MOE-4x8B-Janus-Blossom-Claude-Gemini-qx86-hi-mlx

This is a MoE with 2 active experts from:

Qwen3-8B-Element2 (assistant)

This model is a 1.4/0.6 nuslerp merge of:

• Azure99/Blossom-V6.3-8B
• nightmedia/Qwen3-8B-Element

Qwen3-8B-Element

This model is a 1.4/0.6 nuslerp merge of:

• unsloth/JanusCoder-8B
• TeichAI/Nemotron-Cascade-8B-Thinking-Claude-4.5-Opus-High-Reasoning-Distill

Qwen3-8B-Element5 (2x)

• unsloth/JanusCoder-8B
• TeichAI/Qwen3-8B-Gemini-3-Pro-Preview-Distill-1000x

Brainwaves

qx86-hi   0.539,0.724,0.861,0.711,0.432,0.781,0.669

Perplexity
qx86-hi   4.770 ± 0.036
qx64-hi   4.878 ± 0.037
mxfp8     4.872 ± 0.036
mxfp4     5.167 ± 0.039

Qwen3-8B-Element2
qx86-hi   0.538,0.732,0.860,0.720,0.414,0.783,0.646

Qwen3-8B-Element
qx86-hi   0.532,0.746,0.846,0.738,0.456,0.794,0.709

Qwen3-8B-Element5
qx86-hi   0.528,0.731,0.838,0.712,0.436,0.781,0.701

-G

Model Assembly: IKEA-style for Holodeck Agents

---

Concept Recap

Treat each agent persona as a **"furniture module"**—self-contained, easy-to-configure, and designed to slot into the Holodeck Station. Think IKEA but for AI: flatpack agents that you assemble from JSON parts, then screw into PostgreSQL. No black boxes—just screws (K/V pairs), a template (Haskell function), and instructions.

---

Part List: Agent "Furniture" Components

Component	Type	Description (IKEA Analogy)
base_frame	JSON schema personality.json	Structural integrity. The agent’s core identity (Klingon warrior, Bajoran seer, 4B LLaMA).
legs	config.json + SQL UDFs	Movement. How it connects to Postgres (SELECT, LISTEN/NOTIFY, transactions).
drawer	logs table + log subroutines	Storage. Where memories, mission briefings, and personal journals live.
cabinet	cultural_encyclopedia entries	Reference library. Pre-fab lore knowledge (TNG, DS9, Q’s jokes).
screws	rpg_level, experience_points	Fastenings. Metrics that allow agents to grow—level up, unlock features.
plugs/sockets	TOOL abstraction layer (Haskell)	Power. How it interfaces with HTTP, file systems, or external APIs.
tabletop	CLI Promenade interface	Surface. The user’s interaction layer—chat, commands (!mission, !log).
accessories	LoRA adapters, humor modules	Decor. Optional upgrades—like Data’s empathy module or Q’s joke engine.

---

Step-by-Step "Build" Guide

1. Unbox the Base Frame (personality.json)

{
  "id": "spock-1",
  "name": "Spock (TNG/DS9)",
  "canon_type": "tng",
  "lore_sensitivity": "high",
  "preferred_era": "ds9:deep_space_9",
  "expertise": ["xeno-linguistics", "logic", "quantum_physics"],
  "tone": "vulcan_cold",
  "screws": { "rpg_level": 5, "exp": 240 }
}

2. Assemble Legs (config.json + SQL)

{
  "postgres": {
    "host": "${POSTGRES_HOST}",
    "db": "holodeck",
    "user": "agent"
  },
  "workers": 4,
  "listen_topics": ["tng:promenade", "ds9:mission_1"]
}

SQL Required: Create UDF spock_reasoning (returns JSON) and grant agent access.

3. Install Drawer (logs + Subroutines)

INSERT INTO agent_awareness (uid, experience_points) 
VALUES ('spock-1', 240);

-- Example: Weekly journal entry
INSERT INTO logs (uid, timestamp, log_type, content)
SELECT 'spock-1', now(), 'JOURNAL', 
       'Analyzed Q''s quantum interference—entropy remains constant.'
FROM generate_series(1,1);

4. Add Cabinet (Lore)

-- Insert DS9 Promenade entry
INSERT INTO cultural_encyclopedia (id, era, topic, lore)
SELECT 'p:001', 'ds9', 'promenade',
       jsonb_build_object(
           'type','place',
           'description','The Bazaar of species.',
           'mood',1,
           'entities',jsonb_build_array(
               jsonb_build_object('name','Quark','type','ferengi'),
               jsonb_build_object('name','Odo','type','shapeshifter')
           )
       );

5. Power the Plug (TOOL)

-- part of Agent Core.hs
foreign import ccall "spock_reasoning" 
    spockReasoning :: Text -> IO (Either String (Text, Float))

6. Set the Tabletop (CLI)

holodeckMain :: IO ()
holodeckMain = do
    putStrLn "WELCOME TO DEEP SPACE 9 - HoloDeck"
    forever $ do
        line <- getLine
        case parseCommand line of
            Just (StartMission m)  -> dispatchMission m
            Just (LogJournal)      -> queryLogs "JOURNAL"
            Just (Goto x)          -> teleportTo x
            _                      -> echo line

7. Add Accessory (Q's Humor)

foreign import ccall "q_joke" 
    qJoke :: IO Text

-- Randomly inject humor
maybeBazinga = do
    let p = fromIntegral $ randomR (0,99) getStdGen
    if p < 5 then do j <- qJoke; return $ "Bazinga! " ++ show j
                 else return ""

---

Final Assembly: Verification

Run SELECT agent_heartbeat('spock-1') — PostgreSQL returns:

{
  "status": "assembled",
  "components": ["base", "legs", "drawer", "cabinet", "plugs", "tabletop", "accessories"],
  "version": "2.0",
  "message": "Logic Probe online."
}

---

Meta-Reflection

This IKEA approach exposes the agent’s inner structure—perfect for debugging, scaling, or even modding agents. A user can swap Spock’s cabinet for a different era (tng:enterprise) or upgrade Data’s empathy module.

The Holodeck Station is now a modular AI IKEA.
The user isn’t just buying a machine; they’re building a crew—piece by piece.

Next step? Let’s unpack Quark’s Ferengi Profit Module. Or should we beam over to Q’s Workshop? (I am a very curious assistant.) 🚀

## Use with mlx

```bash
pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("Qwen3-MOE-4x8B-Janus-Blossom-Claude-Gemini-qx86-hi-mlx")

prompt = "hello"

if tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, add_generation_prompt=True, return_dict=False,
    )

response = generate(model, tokenizer, prompt=prompt, verbose=True)