Ready-to-use GGUF quantizations for Ollama, llama.cpp, and local inference.
Richard Young
richardyoung
AI & ML interests
Large Language Models, LLM Evaluation, Instruction Following, Healthcare AI, Clinical AI,
Computational Neuroscience, Foundation Models, Responsible AI, AI Safety, Deep Learning,
Reinforcement Learning, NLP, MLOps, Neuroscience, Medical AI, Model Evaluation, Benchmark
Design, Open Science, Reproducible Research, Multi-Agent Systems
Recent Activity
updated
a model
about 12 hours ago
richardyoung/Qwen3-8B-Abliterated
published
a model
about 12 hours ago
richardyoung/Qwen3-8B-Abliterated
authored
a paper
23 days ago
Comparative Analysis of LLM Abliteration Methods: A Cross-Architecture Evaluation
Organizations
models
45
richardyoung/Qwen3-8B-Abliterated
Text Generation
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8B
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Updated
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4
richardyoung/Mistral-7B-Instruct-v0.3-abliterated
7B
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Updated
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9
richardyoung/zephyr-7b-beta-abliterated
7B
•
Updated
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9
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1
richardyoung/deepseek-llm-7b-chat-abliterated
7B
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Updated
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29
•
1
richardyoung/Qwen3-14B-abliterated-GGUF
15B
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Updated
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1.63k
richardyoung/Qwen2.5-7B-Instruct-abliterated-GGUF
8B
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Updated
•
28
richardyoung/OLMo-3-7B-RLZero-Math-GGUF
Text Generation
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7B
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Updated
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4
richardyoung/Qwen3-Coder-480B-GGUF
Text Generation
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480B
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Updated
•
16
richardyoung/Kimi-VL-A3B-Thinking-GGUF
16B
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Updated
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38
richardyoung/SmolVLM2-2.2B-Instruct-GGUF
2B
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Updated
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20