Text Generation
MLX
English
French
lora
mlx-lm
qwen3.5
Mixture of Experts
spice
ngspice
electronics
micro-kiki
hypneum-lab
Instructions to use hypneum-lab/micro-kiki-stack-spice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use hypneum-lab/micro-kiki-stack-spice with MLX:
# Make sure mlx-lm is installed # pip install --upgrade mlx-lm # if on a CUDA device, also pip install mlx[cuda] # Generate text with mlx-lm from mlx_lm import load, generate model, tokenizer = load("hypneum-lab/micro-kiki-stack-spice") prompt = "Once upon a time in" text = generate(model, tokenizer, prompt=prompt, verbose=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- MLX LM
How to use hypneum-lab/micro-kiki-stack-spice with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "hypneum-lab/micro-kiki-stack-spice" --prompt "Once upon a time"
- Atomic Chat
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Download README.md from hypneum-lab/micro-kiki-stack-spice: direct link, hf CLI and curl.
- Browser
- Download file 2.59 kB
-
https://huggingface.co/hypneum-lab/micro-kiki-stack-spice/resolve/main/README.md
- Command line
-
hf download hf://hypneum-lab/micro-kiki-stack-spice/README.md
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curl -L -o README.md https://huggingface.co/hypneum-lab/micro-kiki-stack-spice/resolve/main/README.md
2.59 kB
| license: apache-2.0 | |
| base_model: Qwen/Qwen3.5-35B-A3B | |
| base_model_relation: adapter | |
| library_name: mlx | |
| pipeline_tag: text-generation | |
| language: | |
| - en | |
| - fr | |
| tags: | |
| - lora | |
| - mlx | |
| - mlx-lm | |
| - qwen3.5 | |
| - moe | |
| - spice | |
| - ngspice | |
| - electronics | |
| - micro-kiki | |
| - hypneum-lab | |
| # micro-kiki stack-spice — SPICE-simulation LoRA for Qwen3.5-35B-A3B | |
| One standard LoRA adapter (`adapters.safetensors`, 2.05 GB) trained with `mlx_lm` on | |
| `Qwen/Qwen3.5-35B-A3B` for SPICE / ngspice / LTspice netlist and simulation assistance. | |
| (The previous card called it a "merged adapter"; the shipped `adapter_config.json` shows | |
| a plain LoRA run.) | |
| ## Recipe (from `adapter_config.json`) | |
| | Parameter | Value | | |
| |---|---| | |
| | Base model | `Qwen/Qwen3.5-35B-A3B` (local `models/qwen3.5-35b-a3b`, BF16) | | |
| | Framework | `mlx_lm.lora`, `fine_tune_type: lora` | | |
| | LoRA rank / alpha / scale | 16 / 32 / **2.0** (= alpha/rank; unlike V4 which used scale 20) | | |
| | Dropout | 0.0 | | |
| | Target layers | 16 | | |
| | Iterations | 11 542 | | |
| | Batch size | 1 (`grad_accumulation_steps` 1) | | |
| | Learning rate | 5e-5, no schedule, optimizer `adam` | | |
| | Max sequence length | 2048 | | |
| | Gradient checkpointing | true | | |
| | Seed | 0 | | |
| | Data | `outputs/stacks/stack-spice` (micro-kiki `spice` domain; example counts not recorded) | | |
| | Adapter size | 2 051 644 214 bytes (16 layers × ~128 MB) | | |
| ## Training host & cost | |
| Mac Studio M3 Ultra 512 GB, MLX BF16. Peak memory, wall-clock, energy: not recorded | |
| (no log shipped). Host powered off since 2026-10. | |
| ## Evaluation | |
| Not recorded for this adapter. Related evidence: the project README reports that the base | |
| model is already strong on SPICE/electronics and that only 3 of 10 probed domains improved | |
| over base; in the June 2026 iact-bench run on the sibling Qwen3.6 ailiance adapters, no | |
| adapter beat the base except `html-css`, and a SPICE adapter was removed from production | |
| routing for degrading numeric (RC) calculations. Validate on your own netlists before use. | |
| ## Limitations | |
| Research artefact; may produce syntactically plausible but electrically wrong netlists; | |
| not for safety-critical design sign-off. | |
| ## Citation | |
| micro-kiki concept DOI **10.5281/zenodo.19666759**. | |
| ## Provenance | |
| <https://github.com/hypneum-lab/micro-kiki> · <https://github.com/ailiance/ailiance-mac-tuner> | |
| · base <https://huggingface.co/Qwen/Qwen3.5-35B-A3B> | |
| ## EU AI Act transparency | |
| LoRA adapter weights only, base unchanged; provider Clément Saillant / L'Electron Rare for | |
| Hypneum Lab; limited risk, Article 50; contact clement@saillant.cc. Outputs may be | |
| inaccurate, biased or fabricated. | |