← Model index
reinforcement-learning
jamesheald/joint-space-empowerment
jamesheald/joint-space-empowerment is a reinforcement learning model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
What to verify before deployment
- Confirm the exact weight format and quantization.
- Measure memory at your intended context or image size.
- Review model-card limitations and evaluation methodology.
- Test latency and throughput on your target runtime.
Likely commercial-friendly
License metadata is an index signal, not legal advice. Follow the repository license and any model-specific acceptable-use terms.
Verify at the source →SIMILAR OPTIONS
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reinforcement-learning
jamesheald/joint-space-empowerment
jamesheald/joint-space-empowerment is a reinforcement learning model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
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reinforcement-learning
KaptainKris/ppo-LunarLander-v3-flip
KaptainKris/ppo-LunarLander-v3-flip is a reinforcement learning model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
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reinforcement-learning
mradermacher/InSight-doc-8B-i1-GGUF
mradermacher/InSight-doc-8B-i1-GGUF is a reinforcement learning model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
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8.0B8 GB+ VRAMapache-2.0
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reinforcement-learning
mradermacher/SkillGate-9B-i1-GGUF
mradermacher/SkillGate-9B-i1-GGUF is a reinforcement learning model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
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9.0B8 GB+ VRAMother
Deployment details →
reinforcement-learning
Ryukijano/h-cgqe-gic2026
Ryukijano/h-cgqe-gic2026 is a reinforcement learning model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 1,395♡ 1
Unknown8 GB+ VRAMmit
Deployment details →
reinforcement-learning
mradermacher/AgentMercury-Qwen3.5-4B-i1-GGUF
mradermacher/AgentMercury-Qwen3.5-4B-i1-GGUF is a reinforcement learning model indexed for deployment research. Estimated minimum GPU memory is 6 GB. It is publicly listed on Hugging Face.
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4.0B6 GB+ VRAMapache-2.0
Deployment details →
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