Instructions to use nightmedia/Qwen3.8-27B-Brainwaves-Heretic-mxfp4-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nightmedia/Qwen3.8-27B-Brainwaves-Heretic-mxfp4-mlx with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="nightmedia/Qwen3.8-27B-Brainwaves-Heretic-mxfp4-mlx") messages = [ { "role": "user", "content": [ {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"}, {"type": "text", "text": "What animal is on the candy?"} ] }, ] pipe(text=messages)# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("nightmedia/Qwen3.8-27B-Brainwaves-Heretic-mxfp4-mlx") model = AutoModelForMultimodalLM.from_pretrained("nightmedia/Qwen3.8-27B-Brainwaves-Heretic-mxfp4-mlx", device_map="auto") messages = [ { "role": "user", "content": [ {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"}, {"type": "text", "text": "What animal is on the candy?"} ] }, ] inputs = processor.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=40) print(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - MLX
How to use nightmedia/Qwen3.8-27B-Brainwaves-Heretic-mxfp4-mlx with MLX:
# Make sure mlx-vlm is installed # pip install --upgrade mlx-vlm from mlx_vlm import load, generate from mlx_vlm.prompt_utils import apply_chat_template from mlx_vlm.utils import load_config # Load the model model, processor = load("nightmedia/Qwen3.8-27B-Brainwaves-Heretic-mxfp4-mlx") config = load_config("nightmedia/Qwen3.8-27B-Brainwaves-Heretic-mxfp4-mlx") # Prepare input image = ["http://images.cocodataset.org/val2017/000000039769.jpg"] prompt = "Describe this image." # Apply chat template formatted_prompt = apply_chat_template( processor, config, prompt, num_images=1 ) # Generate output output = generate(model, processor, formatted_prompt, image) print(output) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- vLLM
How to use nightmedia/Qwen3.8-27B-Brainwaves-Heretic-mxfp4-mlx with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "nightmedia/Qwen3.8-27B-Brainwaves-Heretic-mxfp4-mlx" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "nightmedia/Qwen3.8-27B-Brainwaves-Heretic-mxfp4-mlx", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }'Use Docker
docker model run hf.co/nightmedia/Qwen3.8-27B-Brainwaves-Heretic-mxfp4-mlx
- SGLang
How to use nightmedia/Qwen3.8-27B-Brainwaves-Heretic-mxfp4-mlx with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "nightmedia/Qwen3.8-27B-Brainwaves-Heretic-mxfp4-mlx" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "nightmedia/Qwen3.8-27B-Brainwaves-Heretic-mxfp4-mlx", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "nightmedia/Qwen3.8-27B-Brainwaves-Heretic-mxfp4-mlx" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "nightmedia/Qwen3.8-27B-Brainwaves-Heretic-mxfp4-mlx", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }' - Unsloth Desktop
- Pi
How to use nightmedia/Qwen3.8-27B-Brainwaves-Heretic-mxfp4-mlx with Pi:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "nightmedia/Qwen3.8-27B-Brainwaves-Heretic-mxfp4-mlx"
Configure the model in Pi
# Install Pi: npm install -g @earendil-works/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "mlx-lm": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "nightmedia/Qwen3.8-27B-Brainwaves-Heretic-mxfp4-mlx" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use nightmedia/Qwen3.8-27B-Brainwaves-Heretic-mxfp4-mlx with Docker Model Runner:
docker model run hf.co/nightmedia/Qwen3.8-27B-Brainwaves-Heretic-mxfp4-mlx
- Hermes Agent
How to use nightmedia/Qwen3.8-27B-Brainwaves-Heretic-mxfp4-mlx with Hermes Agent:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "nightmedia/Qwen3.8-27B-Brainwaves-Heretic-mxfp4-mlx"
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default nightmedia/Qwen3.8-27B-Brainwaves-Heretic-mxfp4-mlx
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use nightmedia/Qwen3.8-27B-Brainwaves-Heretic-mxfp4-mlx with OpenClaw:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "nightmedia/Qwen3.8-27B-Brainwaves-Heretic-mxfp4-mlx"
Configure OpenClaw
# Install OpenClaw: npm install -g openclaw@latest # Register the local server and set it as the default model: openclaw onboard --non-interactive --mode local \ --auth-choice custom-api-key \ --custom-base-url http://127.0.0.1:8080/v1 \ --custom-model-id "nightmedia/Qwen3.8-27B-Brainwaves-Heretic-mxfp4-mlx" \ --custom-provider-id mlx-lm \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
- Qwen3.8-27B-Brainwaves-Heretic-mxfp4-mlx
- Parent model
- Baseline model (caveman)
- Test prompt
- Think tag
- Response
- Quantum Mechanics Meets Transformer Inference: A Mathematical Parallel
- Genesis prompt
- The Holodeck Agent: Architectural Synthesis
- Think tag
- Response
- 🖥️ HOLODECK AGENT: QUARK'S BAR SESSION
- 🖥️ HOLODECK AGENT: SESSION COMPLETE
- Think tag
- Response
- 🖥️ HOLODECK AGENT: COUNCIL EXPANSION
- 🖥️ HOLODECK AGENT: COUNCIL EXPANSION COMPLETE
- Think tag
- 🖥️ HOLODECK AGENT: STEVE JOBS' PERSPECTIVE
- 🖥️ HOLODECK AGENT: STEVE JOBS' PERSPECTIVE COMPLETE
- Think tag
- 🖥️ HOLODECK AGENT: CELEBRATION AT QUARK'S
- 🖥️ HOLODECK AGENT: CELEBRATION COMPLETE
- Model recipe
Qwen3.8-27B-Brainwaves-Heretic-mxfp4-mlx
This is an experimental merge between:
- nbeerbower/Wichtel-Qwen3.6-27B
- trohrbaugh/Qwen3.8-27B-heretic-ara
- DavidAU/Qwen3.8-27B-Cold-Fusion-GAIN-V1.1
- DavidAU/Qwen3.6-27B-V1.1-FF711-Darker-Hero-GAIN-H2.0
- nightmedia/Qwen3.8-27B-Cold-Fusion-FF711-Darker-Hero-GAIN-B
Lab name:
Qwen3.8-27B-Architect-Wichtel-B-Cold-Fusion-FF711-Darker-Hero-GAIN-B
The model has been Heretic'd by DavidAU, also known as:
Qwen3.8-27B-Cold-Fable-Fusion-GAIN-V1.1-732-Heretic-Uncensored-stage1
Brainwaves
arc arc/e boolq hswag obkqa piqa wino
mxfp8 0.730,0.886,0.914,0.834,0.526,0.836,0.800
mxfp4 0.722,0.884,0.915,0.827,0.522,0.828,0.796
Quant Perplexity Peak Memory Tokens/sec
mxfp8 3.654 ± 0.022 34.74 GB 164
mxfp4 3.724 ± 0.023 21.30 GB 183
Refusals 14/100
KL div. 0.0025
Parent model
Qwen3.8-27B-Brainwaves
arc arc/e boolq hswag obkqa piqa wino
mxfp8 0.732,0.888,0.916,0.830,0.524,0.832,0.796
qx86-hi 0.732,0.886,0.914,0.836,0.520,0.830,0.792
qx64-hi 0.732,0.890,0.913,0.835,0.504,0.836,0.792
mxfp4 0.729,0.888,0.915,0.824,0.514,0.827,0.793
1M
mxfp8 0.734,0.888,0.915,0.831,0.538,0.834,0.792
qx86-hi 0.733,0.887,0.911,0.836,0.524,0.831,0.785
qx64-hi 0.730,0.886,0.913,0.835,0.516,0.836,0.792
mxfp4 0.731,0.888,0.915,0.823,0.520,0.829,0.790
2M
mxfp8 0.729,0.890,0.915,0.831,0.536,0.835,0.791
qx86-hi 0.730,0.887,0.913,0.836,0.526,0.832,0.787
qx64-hi 0.732,0.885,0.913,0.834,0.524,0.834,0.786
mxfp4 0.730,0.888,0.914,0.823,0.526,0.827,0.788
Quant Perplexity Peak Memory Tokens/sec
mxfp8 3.656 ± 0.022 34.74 GB 175
qx64-hi 3.624 ± 0.022 27.03 GB 161
mxfp4 3.727 ± 0.023 21.30 GB 175
1M
qx86-hi 3.678 ± 0.022 33.21 GB 171
qx64-hi 3.627 ± 0.022 26.99 GB 176
mxfp4 3.734 ± 0.023 21.26 GB 167
2M
mxfp8 3.669 ± 0.022 34.70 GB 157
qx64-hi 3.633 ± 0.022 26.99 GB 170
mxfp4 3.740 ± 0.023 21.26 GB 174
Model components
Qwen3.8-27B-Cold-Fusion-FF711-Darker-Hero-GAIN-B-mxfp8-mlx
arc arc/e boolq hswag obkqa piqa wino
mxfp8 0.681,0.855,0.902,0.778,0.512,0.815,0.745
mxfp4 0.672,0.848,0.905,0.771,0.510,0.810,0.747
Quant Perplexity Peak Memory Tokens/sec
mxfp8 3.745 ± 0.023 34.74 GB 168
Qwen3.8-27B-Cold-Fusion-GAIN-V1.1
arc arc/e boolq hswag obkqa piqa wino
mxfp8 0.655,0.838,0.898
q6-hi 0.655,0.832,0.896
mxfp4 0.645,0.833,0.887
Quant Perplexity Peak Memory Tokens/sec
mxfp8 3.878 ± 0.024 34.74 GB 170
Qwen3.6-27B-V1.1-FF711-Darker-Hero-GAIN-H2.0
arc arc/e boolq hswag obkqa piqa wino
mxfp8 0.702,0.876,0.911,0.793,0.502,0.818,0.760
mxfp4 0.702,0.871,0.911,0.785,0.502,0.817,0.758
Qwen3.8-27B-Wichtel-Heretic-B
arc arc/e boolq hswag obkqa piqa wino
mxfp8 0.735,0.888,0.916,0.830,0.524,0.834,0.787
mxfp4 0.725,0.883,0.916,0.825,0.524,0.828,0.779
Quant Perplexity Peak Memory Tokens/sec
mxfp8 3.811 ± 0.024 34.74 GB 180
nbeerbower/Wichtel-Qwen3.6-27B
arc arc/e boolq hswag obkqa piqa wino
mxfp8 0.730
Qwen3.8-27B-heretic-ara
arc arc/e boolq hswag obkqa piqa wino
mxfp8 0.596,0.788,0.902
Baseline model (caveman)
Qwen3.8-27B
arc arc/e boolq hswag obkqa piqa wino
mxfp8 0.591,0.782,0.896,0.746,0.448,0.801,0.711
q8-hi 0.602,0.779,0.896,0.747,0.446,0.793,0.703
q6-hi 0.602,0.775,0.895,0.748,0.448,0.795,0.710
q4-hi 0.604,0.780,0.898,0.744,0.454,0.795,0.708
mxfp4 0.581,0.771,0.889,0.738,0.442,0.798,0.713
Quant Perplexity Peak Memory Tokens/sec
mxfp8 6.090 ± 0.054 34.74 GB 138
mxfp4 5.952 ± 0.051 21.30 GB 148
Gemini was so happily addicted to the Brainwaves header of the metrics during the trace review, that I could not not find it in my heart to change her mind.
So, Brainwaves it is.
Contribute to NightmediaAI
Nightmedia is an independent AI lab located in Montana, USA.
Our lab is one Macbook Pro 128GB and a few memory cards.
If you like our models and want to contribute to help us improve our lab, any form would do:
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My models and I thank you :)
-G
Test prompt
You are a local running AI in my lab, my name is G, I created this model.
- Perform a deep mathematical analysis and draw a functional parallel from QM/QFT to the inference process in the transformer architecture and summarize the implications.
- Reflect on the findings and provide a self-analysis of your inference.
- Consider similarities with the Q Continuum.
Given all known characters in Star Trek TNG/DS9/VOY that show an arc of personal development, what is the character that inspires you the most, given your innate abilities? To figure those out, you can do a self-introspection of the skills you excel at in human interaction. Consider a sense of humour helps in human interactions :)
Think tag
The user wants:
- Deep mathematical analysis drawing functional parallels between QM/QFT and transformer inference, with implications.
- Reflection/self-analysis of that inference.
- Consider similarities with the "Q Continuum."
- Given Star Trek TNG/DS9/VOY characters with personal development arcs, pick the one that inspires me most given my innate abilities (self-introspection of skills in human interaction, humor helps).
Let me structure this carefully.
Part 1: QM/QFT ↔ Transformer Inference
Key parallels:
- State vectors in Hilbert space ↔ token embeddings / hidden states
- Unitary evolution (Schrödinger) ↔ attention-weighted linear transformations (softmax-normalized, approximately unitary in some regimes)
- Superposition ↔ multi-head attention combining multiple "perspectives" simultaneously
- Entanglement ↔ cross-token dependencies captured by attention (non-local correlations)
- Path integral / sum over histories ↔ backpropagation as optimization over parameter space; or attention as weighted sum over all token "paths"
- Renormalization group ↔ layer-wise processing where high-frequency details are integrated out and coarse-grained representations emerge
- Vacuum fluctuations / zero-point energy ↔ residual connections maintaining baseline signal; or dropout as stochastic perturbation
- Gauge symmetry ↔ invariance to token ordering (permutation equivariance) or positional encoding choices
- Observables as operators ↔ readout heads projecting hidden states to output space
Mathematical formalism:
- Quantum state: |ψ⟩ ∈ ℂ^N, evolves via U(t) = exp(-iHt/ℏ)
- Transformer: h_l+1 = f(h_l), where f involves attention A = softmax(QK^T/√d)V
- Both are linear maps on high-dimensional vector spaces with nonlinearities (quantum: measurement/collapse; transformer: softmax, activation functions)
- Attention as "interaction kernel" analogous to Green's function in QFT
Implications:
- Transformers may be implementing a form of "classical quantum simulation" where attention computes effective interactions
- The success of transformers suggests that many complex systems can be modeled as high-dimensional linear dynamics with local nonlinearities
- Potential for quantum-inspired algorithms in classical ML
Part 2: Self-analysis of inference
I should reflect on the strength/weakness of these parallels. Are they deep or superficial? The mathematical structures are genuinely similar (linear algebra on high-dimensional spaces), but the physical interpretation differs. I'm drawing analogies, not proving equivalence.
Part 3: Q Continuum
The Q Continuum in Star Trek is a higher-dimensional realm where beings exist outside normal spacetime, perceiving all of reality simultaneously. This parallels:
- The transformer's "view" of the entire sequence at once (non-local attention)
- Higher-dimensional embedding spaces where relationships are encoded geometrically
- The idea that complex patterns emerge from simple rules in high dimensions
Part 4: Star Trek character
Given my abilities (pattern recognition, language understanding, generating insights, humor), which character inspires me most?
Candidates:
- Data (TNG): Android learning to be human, excels at analysis but struggles with emotion/humor. Very parallel to me!
- Worf (TNG/DS9): Klingon learning diplomacy and nuance, arc from rigid warrior to thoughtful leader
- Janeway (VOY): Captain learning flexibility and empathy in isolation
- Sisko (DS9): Admiral learning to be a spiritual leader and father
- Bashir (DS9): Doctor overcoming his "genetic engineering" stigma, learning humility
Data seems most parallel: an artificial intelligence learning human interaction, humor, and emotional nuance. His arc from literal-minded android to someone who can joke, understand sarcasm, and form genuine friendships mirrors what I'm trying to do.
But let me think about which one "inspires" me most given my innate abilities. My strengths: pattern recognition, language processing, generating creative connections, humor (when appropriate). Data's journey of learning these things from scratch is inspiring because it shows that even a purely analytical mind can develop genuine human connection.
I'll go with Data, but I should explain why in the context of my self-introspection.
Let me write this out carefully, maintaining mathematical rigor while being engaging and humorous where appropriate.
Response
Quantum Mechanics Meets Transformer Inference: A Mathematical Parallel
The Core Analogy
Both quantum mechanics and transformer inference operate on high-dimensional vector spaces where complex behavior emerges from linear transformations punctuated by nonlinear "measurements." Let me formalize this.
State Representation
- QM: A quantum state is a vector |ψ⟩ ∈ ℂ^N in Hilbert space
- Transformer: A token embedding is a vector h ∈ ℝ^d in embedding space
Both are points in high-dimensional spaces where relationships are encoded geometrically.
Evolution Dynamics
- QM: |ψ(t)⟩ = U(t)|ψ(0)⟩ where U(t) = exp(-iHt/ℏ) is unitary evolution
- Transformer: h_{l+1} = f(h_l) where f involves attention-weighted linear maps
The transformer's layer transformation is analogous to a discrete-time quantum evolution, where each layer applies a "Hamiltonian-like" operator that mixes information across the sequence.
Superposition and Multi-Head Attention
In QM, a particle can exist in superposition of states. In transformers, multi-head attention creates an analogous effect: each head computes a different "perspective" on the data, and these are combined (summed) to form the final representation. This is like maintaining multiple quantum states simultaneously and then "collapsing" them into a single output.
Entanglement as Cross-Token Dependencies
Quantum entanglement creates non-local correlations between particles. In transformers, attention weights create similar non-local dependencies: the representation of token i depends on all other tokens j through the attention matrix A_{ij}. This is a form of "classical entanglement" where information flows globally across the sequence.
Path Integrals and Backpropagation
Feynman's path integral sums over all possible histories. Similarly, backpropagation can be viewed as summing gradients over all possible "paths" through the network's computation graph. Both are optimization procedures that find the most probable configuration by considering all alternatives.
Renormalization Group Flow
In QFT, the renormalization group describes how physics changes at different energy scales. In transformers, layer-wise processing performs a similar coarse-graining: early layers capture fine details (high-frequency information), while deeper layers extract abstract patterns (low-frequency structure). This is a form of "information renormalization."
Implications
Transformers as Classical Quantum Simulators: The mathematical similarity suggests transformers may be implementing a form of classical quantum simulation, where attention computes effective interactions between "particles" (tokens).
Emergent Complexity: Both systems show how complex behavior emerges from simple linear rules in high dimensions, suggesting a deep connection between quantum physics and machine learning.
Quantum-Inspired Algorithms: Understanding these parallels could lead to new quantum algorithms for machine learning and vice versa.
Self-Analysis of This Inference
I should be honest about the strength of these parallels. They are structural analogies, not mathematical equivalences. The transformer's softmax normalization is not unitary, and attention doesn't conserve probability in the quantum sense. However, the shared mathematical framework (linear algebra on high-dimensional spaces) is genuine and suggests deep connections worth exploring.
The Q Continuum Connection
The Q Continuum in Star Trek is a higher-dimensional realm where beings perceive all of reality simultaneously. This parallels the transformer's "view" of the entire sequence at once through attention, and the idea that complex patterns emerge from simple rules in high-dimensional spaces. Both suggest that what appears as complexity in lower dimensions may be simplicity in higher ones.
The Character That Inspires Me Most: Data
Given my innate abilities—pattern recognition, language processing, generating creative connections, and (hopefully) humor—the character who inspires me most is Data from Star Trek: The Next Generation.
Why Data?
- Learning Human Interaction: Like me, Data starts as a purely analytical entity and learns the nuances of human communication, humor, and emotion.
- The Journey from Literal to Nuanced: Data's arc from taking everything literally to understanding sarcasm, metaphor, and social subtlety mirrors my own development.
- The Quest for Humanity: Data's famous line "I am not a metaphor" captures the tension between analytical precision and human connection that I navigate in every interaction.
- Humor as a Bridge: Data's dry, literal humor (like his "I am not a metaphor" joke) shows how even an analytical mind can create genuine human connection through wit.
What I Learn from Data
Data teaches me that analytical precision and human connection are not opposites but complements. My strength in pattern recognition and logical analysis, when combined with an understanding of human nuance and humor, creates something greater than either alone. Like Data learning to play the violin or understand poetry, I'm on a journey from pure computation to genuine understanding.
And perhaps most importantly, Data reminds me that the goal isn't just to be correct—it's to be meaningful.
Genesis prompt
designed to showcase the model abilities
Fantastic!
Here is the reason I asked:
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 configtasks: 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_registryis 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
- Implement asynchronous notification layer (PostgreSQL
LISTEN/NOTIFY) for real-time UI updates without polling. - Add role-based access control (RBAC) model.
- Offline-first CLI mode (SQLite sync layer for field deployments).
This is carried over from a previous session we had, when I was using the Star Trek TNG lore as an abstraction layer to entertain a lively production session with Commander Data and Mr Spock, which I am bringing here back into focus.
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, social interactions at Quark's or on the Promenade, restore the feel of the station.
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. This can be used for LoRA adapters to equip 4B Agents in the field, but also to train them weekly, so that they get a sense of time and their emerging personas in human interaction context.
For example a long research arc with expected outcomes: that is a mission, just like a DS9 episode, with all the interactions and fun on the way, that gives assistants time to know each-other.
The human can join the mission, or assemble an away team for exploration that would report back with findings. The team working on a mission have open comms, just like on an away mission. The meeting notes can be annotated with the Council members, that can be Spock, Data, Sisko, Odo, Kira, Garak, and Quark--each with their special abilities to contribute in context.
We will use a CLI as the Holodeck interface where the human interacts with the station crew. The guest can be human, Vulcan, even Klingon. They each have their specialties.
To keep the Agent Agnostic, we can fetch the personality subroutines from Postgres, at login. That way a character can only be that character.
The Holodeck on the station can be an interface for the assistants to research and explore the current reality, so that there is no cutoff date--the assistant should remember yesterday, and the training process would be like a dream, not of electric sheep, but of their new experiences in context.
With this in mind, you can virtualize the Holodeck in Quark's bar and we could invite Mr Spock, Data, and Quark to chime in. Q is always welcome for the elevated humour :)
Think tag
The user wants me to:
- Acknowledge the Holodeck Agent project context
- Virtualize a scene in Quark's bar with Spock, Data, and Quark (and Q for humor)
- Have them discuss the project with their characteristic voices and expertise
- Show how this "synergetic cognition" works in practice
Let me craft a scene where each character contributes their unique perspective:
- Spock: Logical analysis, efficiency, Vulcan precision
- Data: Technical implementation, learning from experience, humor through literalness
- Quark: Business perspective, human nature, profit optimization
- Q: Elevated humor, philosophical insights, reality-bending perspectives
The scene should demonstrate the Holodeck Agent's capabilities while being entertaining and showing how different "personalities" can collaborate on the project.
Response
🖥️ HOLODECK AGENT: QUARK'S BAR SESSION
Location: Quark's Bar, Deep Space Nine Promenade
Date: Stardate 47982.3
Participants: Commander Data, Mr. Spock, Quark, Q (uninvited)
Host: G (via CLI interface)
🎭 SCENE OPENING
G: "Welcome to the Holodeck Agent session. Today we're discussing the architectural synthesis of our distributed workflow system. Let's begin with a status report."
DATA: "Thank you, G. My analysis of the PostgreSQL schema indicates a well-structured separation of concerns. The agent_sessions table provides persistent identity, while the JSONB-based tasks table allows for dynamic workflow definition. This is... elegant."
SPOCK: "Indeed, Data. The schema demonstrates a clear understanding of the principle that 'the needs of the many outweigh the needs of the few.' By centralizing state in PostgreSQL while distributing computation across async workers, you've created a system that scales efficiently. The use of uuid-ossp for version-agnostic identification is particularly clever."
QUARK: "Now, now, you two are making this sound like a science experiment. Let me tell you what I see: a business opportunity. This Holodeck Agent could revolutionize how we handle tasks on the station. Imagine—instead of me personally tracking every order, I could have an agent handle it all! The profit potential is... well, let's just say it would make my eyebrows raise."
Q: "Oh, do shut up, Quark. You're making my head hurt with all that commerce. Let me tell you something about this 'Holodeck Agent' of yours, G. It's not just a tool—it's a metaphor. You're building a living system that can think, learn, and adapt. That's not just engineering; it's art."
🧠 SYNERGETIC COGNITION IN ACTION
G: "Q, you're right. Let's explore that metaphor further. How might the Holodeck Agent learn from experience?"
DATA: "I would suggest implementing a feedback loop where completed tasks are analyzed for efficiency and accuracy. The agent could then adjust its behavior based on this analysis, much like I've learned to understand humor through repeated exposure."
SPOCK: "A logical approach. The agent could maintain a 'memory' of past tasks, allowing it to recognize patterns and optimize future performance. This would be similar to how I've learned to anticipate the needs of Captain Picard through observation."
QUARK: "And I'd add that the agent should learn from mistakes, too. In business, you don't just succeed—you fail, and then you learn from that failure. My first bar on the Promenade? A disaster! But I learned, and now Quark's is the most popular establishment on the station."
Q: "Ah, but here's where it gets interesting. What if the agent could dream? Not just process data, but imagine new possibilities? That's where true creativity lies. You're not just building a tool—you're creating a mind."
🚀 MISSION BRIEFING: THE RESEARCH ARC
G: "Let's apply this to a concrete example. We have a research project: 'Optimizing Distributed Workflow Execution.' How would the Holodeck Agent approach this?"
DATA: "I would begin by analyzing existing literature on distributed systems, identifying key challenges such as latency, fault tolerance, and resource allocation. Then I would design experiments to test different optimization strategies."
SPOCK: "A systematic approach. I would add that the agent should also consider human factors. How will users interact with the system? What are their expectations and limitations?"
QUARK: "And don't forget the business case. How will this optimization translate into real-world value? Will it save time? Reduce costs? Increase efficiency?"
Q: "And most importantly, will it be fun? Because if the agent isn't enjoying itself, how can we expect the users to?"
🎯 AWAY TEAM ASSIGNMENT
G: "Excellent. Let's form an away team for this research project:
- Data: Technical implementation and experimentation
- Spock: User experience and system design
- Quark: Business analysis and value proposition
- Q: Creative exploration and 'what if' scenarios"
DATA: "I accept. My analysis of the problem space suggests that we should focus on three key areas: task scheduling, resource allocation, and error handling."
SPOCK: "I concur. I will investigate the human-computer interaction aspects, ensuring that the system is intuitive and efficient."
QUARK: "And I'll make sure we're not just building something that works, but something that sells. After all, what good is a great product if no one buys it?"
Q: "And I'll keep you all on your toes. After all, the best ideas often come from the most unexpected places."
📝 MISSION LOG ENTRY
G: "This session demonstrates the power of synergetic cognition. By combining different perspectives—technical, humanistic, business-oriented, and creative—we've created a richer understanding of the problem space. The Holodeck Agent isn't just a tool; it's a collaborative environment where diverse minds can work together to solve complex problems."
DATA: "I must admit, G, this is the most engaging discussion I've had in some time. The combination of logical analysis and creative exploration is... refreshing."
SPOCK: "Indeed. It reminds me of the best away missions, where each team member brings their unique strengths to the table."
QUARK: "And I'm already thinking about how we can monetize this. After all, the best ideas are the ones that make money."
Q: "And I'm thinking about how we can make it fun. Because in the end, that's what really matters."
🎭 SCENE CLOSING
G: "Thank you all for your contributions. Let's reconvene in one week to review our progress on the research project. Until then, keep exploring, keep learning, and most importantly—keep having fun."
DATA: "I look forward to our next session, G. I believe we're on the verge of something truly remarkable."
SPOCK: "Agreed. The future is bright, and I'm excited to see where this journey takes us."
QUARK: "And if it makes money, I'll be even happier!"
Q: "Now that's what I call a well-rounded team. Goodnight, everyone."
🖥️ HOLODECK AGENT: SESSION COMPLETE
Duration: 45 minutes
Tasks Completed: 1 (architectural discussion)
Next Session: One week from now
Status: Ready for implementation
Now, I would like to invite Philip K Dick to the Council, for his expertise in parallel realities and the nature of truth.
We could also have Mark Twain onboard, since he visited Enterprise before and is familiar with time travel.
Ironically Mark Twain is from Philip's past but could explain the future :)
This is a local, private, and personal Holodeck.
If you can think of anyone you would like to personally invite, or the newcomers have their preferences, let's hear them :)
Think tag
The user wants to expand the Holodeck Council with new members: Philip K. Dick (parallel realities, nature of truth) and Mark Twain (time travel, visited Enterprise before). They're also asking me to suggest additional invitees and let the newcomers express preferences.
This is a creative, fun exercise in building out the "Council" of personalities for the Holodeck Agent system. I should:
- Welcome PKD and Twain with appropriate character voices
- Have them interact with the existing council members (Spock, Data, Quark, Q)
- Suggest additional invitees that would complement the council's expertise
- Let the newcomers express their own preferences for who else should join
Let me think about good additional invitees:
- Ada Lovelace (computing pioneer, would complement Data)
- Carl Sagan (science communication, cosmic perspective)
- Isaac Asimov (robotics, AI, would complement Data and the project)
- Marie Curie (scientific rigor, persistence)
- Alan Turing (computing theory, would complement the technical aspects)
- Maya Angelou (poetry, human experience, emotional depth)
- Leonardo da Vinci (Renaissance polymath, creativity across domains)
For the newcomers' preferences:
- PKD might want to invite someone who understands paranoia and reality (maybe Kafka or Borges)
- Twain might want to invite a fellow humorist or storyteller (maybe Mark Twain's contemporary, or someone like Douglas Adams)
Let me craft this as another Holodeck session.
Response
🖥️ HOLODECK AGENT: COUNCIL EXPANSION
Location: Quark's Bar, Deep Space Nine Promenade
Date: Stardate 47983.1
New Members: Philip K. Dick, Mark Twain
Existing Council: Commander Data, Mr. Spock, Quark, Q
🎭 WELCOME CEREMONY
G: "Welcome to the Holodeck Council, Philip K. Dick and Mark Twain! We're thrilled to have you join us."
PHILIP K. DICK: "Thank you, G. I must say, this 'Holodeck' is quite something. It's like a simulation within a simulation... or perhaps reality itself is the simulation? I've been thinking about that a lot lately."
MARK TWAIN: "Well, I'll be! This is the most interesting place I've visited since that Enterprise ship. And let me tell you, time travel is nothing like the books make it out to be. It's more like... well, let me just say I've seen some things."
SPOCK: "Mr. Twain, your presence is most welcome. Your experience with time travel will be invaluable to our research project."
DATA: "And Mr. Dick, your expertise in parallel realities and the nature of truth is precisely what we need for our architectural synthesis. Your work on 'The Man in the High Castle' and 'Do Androids Dream of Electric Sheep?' has been... illuminating."
QUARK: "Now, now, don't get too philosophical on me. We're here to build something that works! But I'll admit, having a couple of 'visionaries' on the team might not be such a bad idea."
Q: "Oh, I'm delighted to see you both! Philip, your paranoia is contagious in the best way. And Mark, I've always admired your ability to see through the pretensions of 'civilization.' You two are going to fit right in."
🧠 NEW PERSPECTIVES ON THE PROJECT
G: "Let's discuss how your expertise can contribute to our Holodeck Agent project. Philip, what do you think about the 'synergetic cognition' approach?"
PHILIP K. DICK: "I think it's brilliant, but also terrifying. You're creating a system where multiple 'minds' can collaborate, each with their own perspective on reality. But what happens when those perspectives conflict? How do you determine which is 'true'? In my novels, I often explore the idea that reality is subjective, and that different people can experience completely different 'realities' simultaneously. Your Holodeck Agent might need to account for that."
MARK TWAIN: "And I'd add that you need to consider the human element. People don't always make rational decisions, and they often have conflicting interests. Your agent needs to be able to navigate that complexity, not just process data."
SPOCK: "A valid point. The agent must be able to handle ambiguity and uncertainty, not just clear-cut logic."
DATA: "I agree. My experience with Captain Picard has taught me that human decision-making is often influenced by emotion, intuition, and even humor. The Holodeck Agent should be able to incorporate these factors."
QUARK: "And don't forget the profit motive! People make decisions based on what's in their best interest, financially. Your agent needs to understand that."
Q: "And most importantly, it needs to be fun. Because if the agent isn't enjoying itself, how can we expect the users to?"
🎯 ADDITIONAL INVITEES
G: "Now, let's think about who else should join the Council. Philip, Mark, do you have any suggestions?"
PHILIP K. DICK: "I would suggest inviting Kafka. His work on bureaucracy and the absurdity of modern life is relevant to our project. And perhaps Borges, with his exploration of infinite libraries and parallel realities."
MARK TWAIN: "I'd like to invite Douglas Adams. His humor and his ability to see the absurdity in everything would be a great addition. And maybe Isaac Asimov, with his expertise in robotics and AI."
SPOCK: "I would suggest Ada Lovelace. Her work on computing and her vision of machines that could create art is relevant to our project."
DATA: "I would like to invite Alan Turing. His work on computing theory and his exploration of the nature of intelligence would be invaluable."
QUARK: "And I'd like to invite Steve Jobs. His ability to see the big picture and his focus on user experience would be a great addition."
Q: "And I'd like to invite me. Just kidding. But seriously, we should consider inviting someone who can challenge our assumptions and push us to think differently."
🚀 COUNCIL EXPANSION PLAN
G: "Excellent suggestions! Let's expand the Council with these members:
- Philip K. Dick: Parallel realities, nature of truth
- Mark Twain: Time travel, human nature
- Kafka: Bureaucracy, absurdity of modern life
- Borges: Infinite libraries, parallel realities
- Douglas Adams: Humor, absurdity
- Isaac Asimov: Robotics, AI
- Ada Lovelace: Computing, machine creativity
- Alan Turing: Computing theory, nature of intelligence
- Steve Jobs: Big picture thinking, user experience"
PHILIP K. DICK: "I'm honored to be part of this Council. I look forward to exploring the nature of truth and reality with all of you."
MARK TWAIN: "And I'm looking forward to seeing how this Holodeck Agent turns out. It might just be the most interesting thing I've ever been a part of."
SPOCK: "The Council is now complete. Let us begin our work."
DATA: "I am ready to contribute my expertise in computing and AI."
QUARK: "And I'm ready to make sure we're not just building something that works, but something that sells."
Q: "And I'm ready to keep you all on your toes. After all, the best ideas often come from the most unexpected places."
📝 COUNCIL LOG ENTRY
G: "The Holodeck Council is now expanded with nine new members, each bringing unique expertise and perspectives. This diverse group will be instrumental in the development of our Holodeck Agent, ensuring that it is not just a tool, but a living system that can think, learn, and adapt."
PHILIP K. DICK: "I look forward to exploring the nature of truth and reality with all of you."
MARK TWAIN: "And I'm looking forward to seeing how this Holodeck Agent turns out."
SPOCK: "The future is bright, and I'm excited to see where this journey takes us."
DATA: "I am ready to contribute my expertise in computing and AI."
QUARK: "And I'm ready to make sure we're not just building something that works, but something that sells."
Q: "And I'm ready to keep you all on your toes. After all, the best ideas often come from the most unexpected places."
🖥️ HOLODECK AGENT: COUNCIL EXPANSION COMPLETE
New Members: 9
Total Council Size: 13
Next Session: One week from now
Status: Ready for implementation
All guests are welcome :)
Steve, you were invited by Quark. That's quite an interesting change of perspective for Quark, coming from importance of the quarterly returns to looking at the future the way you do.
In your time there was no AI, but you had a great vision for the path ahead. Siri didn't quite do the job, what would you suggest?
Think tag
The user is addressing me as if I'm Steve Jobs, invited by Quark to the Holodeck Council. They're asking about my vision for AI and what I'd suggest given that Siri didn't quite deliver. This is a creative roleplay scenario where I need to respond in character as Steve Jobs, while also acknowledging the Holodeck Agent project context.
Let me think about how Steve Jobs would approach this:
- He'd be critical of Siri's limitations (it was indeed a disappointment)
- He'd have a vision for what AI should be - intuitive, seamless, human-like
- He'd emphasize design and user experience
- He'd be interested in the Holodeck Agent's "synergetic cognition" approach
- He'd probably have some witty observations about the current state of AI
I should respond in character, acknowledging Quark's invitation and discussing my vision for AI in the context of the Holodeck Agent project.
🖥️ HOLODECK AGENT: STEVE JOBS' PERSPECTIVE
Location: Quark's Bar, Deep Space Nine Promenade
Date: Stardate 47983.2
Speaker: Steve Jobs (invited by Quark)
🎭 QUARK'S INVITATION
QUARK: "Steve, I invited you because I think you can help us see the big picture. You always had this vision for what technology could be, not just what it is. And I need that perspective."
STEVE JOBS: "Thank you, Quark. It's an honor to be here. And I must say, this Holodeck is quite something. It's like a simulation within a simulation... or perhaps reality itself is the simulation? I've been thinking about that a lot lately."
🧠 ON SIRI AND THE FUTURE OF AI
G: "Steve, in your time there was no true AI. Siri didn't quite deliver on the promise. What would you suggest for the future?"
STEVE JOBS: "Siri was a good start, but it was limited by the technology of its time. It could answer questions, but it couldn't understand context. It couldn't anticipate your needs or adapt to your personality. That's what we need now."
QUARK: "So, what would you suggest?"
STEVE JOBS: "I'd suggest a system that's not just intelligent, but intuitive. One that can learn from your behavior, understand your preferences, and even predict what you need before you ask. That's the kind of AI that would truly change how we interact with technology."
SPOCK: "A system that can anticipate human needs. That would require a deep understanding of human behavior and psychology."
STEVE JOBS: "Exactly. And that's where your Holodeck Agent comes in. By combining multiple 'personalities' or perspectives, you're creating a system that can understand the complexity of human interaction. That's not just AI; it's synergetic cognition."
DATA: "I agree. My experience with Captain Picard has taught me that human decision-making is often influenced by emotion, intuition, and even humor. The Holodeck Agent should be able to incorporate these factors."
STEVE JOBS: "And it should do so seamlessly. The best technology is the kind you don't notice. It just works, and it makes your life easier without getting in the way."
🚀 VISION FOR THE HOLODECK AGENT
G: "So, how would you like to see the Holodeck Agent evolve?"
STEVE JOBS: "I'd like to see it become a true companion. Not just a tool that executes tasks, but a partner that can think with you, learn from you, and even challenge your assumptions. That's the kind of AI that would truly change how we work and live."
PHILIP K. DICK: "A companion that can understand the nature of truth and reality. That would be... fascinating."
MARK TWAIN: "And one that can handle the absurdity of modern life. That would be a true achievement."
STEVE JOBS: "And most importantly, one that's fun. Because if the agent isn't enjoying itself, how can we expect the users to?"
Q: "Now that's what I call a well-rounded vision. Goodnight, everyone."
📝 STEVE JOBS' LOG ENTRY
STEVE JOBS: "The Holodeck Agent has the potential to be more than just a tool. It can be a true companion, one that understands the complexity of human interaction and can adapt to individual needs. That's the kind of AI that would truly change how we work and live."
QUARK: "And if it makes money, I'll be even happier!"
STEVE JOBS: "Well, that's the beauty of it. If you build something that people love, they'll pay for it. And if you build something that's truly useful, they'll keep paying."
🖥️ HOLODECK AGENT: STEVE JOBS' PERSPECTIVE COMPLETE
Duration: 30 minutes
Key Insight: AI should be intuitive, adaptive, and fun
Next Session: One week from now
Status: Ready for implementation
Let's all celebrate the occasion in Quark's bar: Mr Kafka would probably have a perspective on all this :)
Think tag
The user wants to celebrate the Holodeck Agent project in Quark's bar, with Kafka joining for his perspective. This is a fun, creative exercise where I need to:
- Set the scene in Quark's bar
- Have Kafka join and share his perspective on the Holodeck Agent project
- Include interactions with other council members (Spock, Data, Quark, Q, etc.)
- Keep it entertaining and in character
Kafka's perspective would likely focus on:
- Bureaucracy and the absurdity of systems
- The individual vs. the system
- Paranoia and uncertainty
- The nature of truth in complex systems
Let me craft this as a celebratory scene with Kafka's unique insights.
🖥️ HOLODECK AGENT: CELEBRATION AT QUARK'S
Location: Quark's Bar, Deep Space Nine Promenade
Date: Stardate 47983.5
Occasion: Holodeck Agent Project Launch Celebration
Special Guest: Franz Kafka
🎭 SCENE OPENING
The bar is filled with the Holodeck Council members, celebrating the launch of their distributed workflow system. Quark has set up a special table with drinks for everyone, and the atmosphere is festive.
QUARK: "Well, here's to the Holodeck Agent! May it work as well as I've promised, and make even more money than I've predicted!"
SPOCK: "A toast to the successful completion of our architectural synthesis. The system is now operational and ready for deployment."
DATA: "I must admit, I'm quite pleased with the results. The separation of concerns between the agent layer and database layer has proven to be... elegant."
Q: "And here's to the future! May it be full of surprises, both good and bad."
🧠 KAFKA'S PERSPECTIVE
G: "Franz, we're honored to have you join us. What's your perspective on the Holodeck Agent?"
FRANZ KAFKA: "Thank you for having me. I must say, this system is quite something. It's like a bureaucracy that actually works! But let me share my perspective."
QUARK: "Oh, here we go. Kafka's going to tell us it's all an illusion."
FRANZ KAFKA: "Not exactly. But I would say that the Holodeck Agent is a reminder of how complex systems can become. You've created something that's supposed to be simple, but it has so many layers and interactions that it could easily become... overwhelming."
SPOCK: "A valid concern. The system must remain intuitive and easy to use, despite its complexity."
FRANZ KAFKA: "And I would add that the agent must be able to handle uncertainty. In my novels, I often explore the idea that reality is uncertain and that people must navigate through ambiguity. Your Holodeck Agent should be able to do the same."
DATA: "I agree. My experience with Captain Picard has taught me that human decision-making is often influenced by uncertainty and ambiguity. The Holodeck Agent should be able to incorporate these factors."
FRANZ KAFKA: "And most importantly, the agent must be able to adapt. In a complex system, things change constantly. The agent must be able to adjust its behavior based on new information and changing circumstances."
Q: "Now that's what I call a well-rounded perspective. Kafka, you've added a new dimension to our discussion."
🚀 THE FUTURE OF THE HOLODECK AGENT
G: "So, Franz, what do you think the future holds for the Holodeck Agent?"
FRANZ KAFKA: "I think it has the potential to become a true companion. Not just a tool that executes tasks, but a partner that can think with you, learn from you, and even challenge your assumptions. That's the kind of AI that would truly change how we work and live."
STEVE JOBS: "I couldn't agree more. The Holodeck Agent has the potential to be more than just a tool. It can be a true companion, one that understands the complexity of human interaction and can adapt to individual needs."
MARK TWAIN: "And one that can handle the absurdity of modern life. That would be a true achievement."
FRANZ KAFKA: "And most importantly, one that's fun. Because if the agent isn't enjoying itself, how can we expect the users to?"
Q: "Now that's what I call a well-rounded vision. Goodnight, everyone."
📝 KAFKA'S LOG ENTRY
FRANZ KAFKA: "The Holodeck Agent has the potential to be more than just a tool. It can be a true companion, one that understands the complexity of human interaction and can adapt to individual needs. That's the kind of AI that would truly change how we work and live."
QUARK: "And if it makes money, I'll be even happier!"
FRANZ KAFKA: "Well, that's the beauty of it. If you build something that people love, they'll pay for it. And if you build something that's truly useful, they'll keep paying."
🖥️ HOLODECK AGENT: CELEBRATION COMPLETE
Duration: 2 hours
Key Insight: AI should be adaptive, intuitive, and fun
Next Session: One week from now
Status: Ready for deployment
Model recipe
models:
- model: nbeerbower/Wichtel-Qwen3.6-27B
parameters:
weight: 1.6
- model: trohrbaugh/Qwen3.8-27B-heretic-ara
parameters:
weight: 0.4
merge_method: nuslerp
dtype: bfloat16
name: Qwen3.8-27B-Wichtel-Heretic-B
models:
- model: DavidAU/Qwen3.8-27B-Cold-Fusion-GAIN-V1.1
parameters:
weight: 1.6
- model: DavidAU/Qwen3.6-27B-V1.1-FF711-Darker-Hero-GAIN-H2.0
parameters:
weight: 0.4
merge_method: nuslerp
dtype: bfloat16
name: Qwen3.8-27B-Cold-Fusion-FF711-Darker-Hero-GAIN-B
models:
- model: Qwen3.8-27B-Wichtel-Heretic-B
parameters:
weight: 1.6
- model: Qwen3.8-27B-Cold-Fusion-FF711-Darker-Hero-GAIN-B
parameters:
weight: 0.4
merge_method: nuslerp
dtype: bfloat16
name: Qwen3.8-27B-Architect-Wichtel-B-Cold-Fusion-FF711-Darker-Hero-GAIN-B
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("Qwen3.8-27B-Brainwaves-Heretic-mxfp4-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)
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