Text Generation
MLX
weight-skills
agent-skills
zero-token-skills
wssc
prompt-caching
kv-cache
software-engineering-agents
apple-silicon
safe-tensors
Instructions to use luisbrel/weight-skills with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use luisbrel/weight-skills 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("luisbrel/weight-skills") 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 luisbrel/weight-skills with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "luisbrel/weight-skills" --prompt "Once upon a time"
- Atomic Chat
Commit History
Today
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v4.3: purge 18 obsolete Nov-11 files; publish 11 real cartridges, two_regime_runtime.py, v4.3 paper & Batches 9-11 truth sync
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docs(v4.2): update WSSC model card and measurement addendum through G.142 (8-bit push-through & activation-key cosine router)
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Remove internal benchmark notes
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Verified signaturepaper v4.1.0: remove version-update notices from the manuscript body; rebuilt PDF90aab23 -
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Verified signaturecard v2 + paper v4: withdrawn claims removed; measured compiled-serving evidence added50c51ad
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docs: add official Zenodo DOI 10.5281/zenodo.24122804 badge and citation
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fix(paper): update PDF with pristine title page (resolved preamble rendering)
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docs: add paper badge and PDF links
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docs: add camera-ready academic paper PDF
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docs: add Zero-Egress Network Exfiltration refusal vector
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docs: add multi-model empirical benchmarks, zero-trust telemetry, and multi-skill stacking tables
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docs: update LinkedIn launch post to 15 Weight Skills
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Release Option C: Rebrand to Weight Skills with intuitive naming, loader, and hero banner
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docs: update base foundation model link to luisbrel/proto-nemotron
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docs: fix image URL resolution to absolute HF raw path
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Release v2.2.0: 15 Master Cartridges (Zero-Trust, SWE Agents, Cloud/Spatial) + Hero Banner
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Release WSSC Cartridge Suite v2.1.0: 10 Modular Agent Cartridges (Zero-Trust, SWE & Reasoning)
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initial commit
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