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reinforcement-learning
mradermacher/KernelBench-RLVR-120b-i1-GGUF
mradermacher/KernelBench-RLVR-120b-i1-GGUF is a reinforcement learning model indexed for deployment research. Estimated minimum GPU memory is 80 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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Unknown8 GB+ VRAMmit
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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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Unknown8 GB+ VRAMLicense unknown
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reinforcement-learning
mradermacher/KernelBench-RLVR-120b-i1-GGUF
mradermacher/KernelBench-RLVR-120b-i1-GGUF is a reinforcement learning model indexed for deployment research. Estimated minimum GPU memory is 80 GB. It is publicly listed on Hugging Face.
↓ 6,423♡ 0
120.0B80 GB+ VRAMapache-2.0
Deployment details →
reinforcement-learning
laion/a3-rl-laion_nemotron-gym-agent-calendar-80-8B
laion/a3-rl-laion_nemotron-gym-agent-calendar-80-8B is a reinforcement learning model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.
↓ 5,120♡ 0
8.0B24 GB+ VRAMapache-2.0
Deployment details →
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.
↓ 2,405♡ 3
8.0B8 GB+ VRAMapache-2.0
Deployment details →
reinforcement-learning
DGurgurov/OpenThinker3-7B-SFT-GRPO-DE
DGurgurov/OpenThinker3-7B-SFT-GRPO-DE is a reinforcement learning model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.
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7.0B24 GB+ VRAMLicense unknown
Deployment details →
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