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reinforcement-learning
mradermacher/Agent-G2-alfworld-1.5b-GGUF
mradermacher/Agent-G2-alfworld-1.5b-GGUF is a reinforcement learning model indexed for deployment research. Estimated minimum GPU memory is 4 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
mradermacher/SpatialThinker-3B-i1-GGUF
mradermacher/SpatialThinker-3B-i1-GGUF is a reinforcement learning model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
↓ 354♡ 2
3.0B4 GB+ VRAMapache-2.0
Deployment details →
reinforcement-learning
mradermacher/Agent-G2-alfworld-1.5b-GGUF
mradermacher/Agent-G2-alfworld-1.5b-GGUF is a reinforcement learning model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
↓ 348♡ 0
1.5B4 GB+ VRAMapache-2.0
Deployment details →
reinforcement-learning
mradermacher/TRACE-Mix-Qwen2.5-3B-Instruct-GGUF
mradermacher/TRACE-Mix-Qwen2.5-3B-Instruct-GGUF is a reinforcement learning model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
↓ 347♡ 0
3.0B4 GB+ VRAMother
Deployment details →
reinforcement-learning
mradermacher/Agent-G2-webshop-1.5b-GGUF
mradermacher/Agent-G2-webshop-1.5b-GGUF is a reinforcement learning model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
↓ 343♡ 0
1.5B4 GB+ VRAMLicense unknown
Deployment details →
reinforcement-learning
mradermacher/qwen2.5-coder-3b-instruct-spider-sft-grpo-GGUF
mradermacher/qwen2.5-coder-3b-instruct-spider-sft-grpo-GGUF is a reinforcement learning model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
↓ 336♡ 0
3.0B4 GB+ VRAMapache-2.0
Deployment details →
reinforcement-learning
mradermacher/Seed-AlfWorld-3B-GGUF
mradermacher/Seed-AlfWorld-3B-GGUF is a reinforcement learning model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
↓ 275♡ 0
3.0B4 GB+ VRAMother
Deployment details →
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