ppo-seals-CartPole-v0
Educationreinforcement learning model by HumanCompatibleAI on Hugging Face (stable-baselines3). 187,490 downloads in the last 30 days as of 2026-10-15.
Free
BEPA-7B-S2-GGUF
reinforcement learning model by mradermacher on Hugging Face (transformers). 1,062 downloads in the last 30 days as of 2026-10-15.
What is BEPA-7B-S2-GGUF?
BEPA-7B-S2-GGUF is an open AI model published on Hugging Face by mradermacher for reinforcement learning. Its name indicates a size of about 7B parameters, packaged as quantised GGUF weights for llama.cpp-compatible runtimes (Ollama, LM Studio, llama.cpp). mradermacher is a well-known publisher of quantised re-uploads, so this repository is usually a compressed copy of an existing base model rather than a newly trained one: check the model card for the original base model and its licence. Hugging Face reported 1,062 downloads in the 30 days to 2026-10-15. Weights are free to download from Hugging Face; licence terms are set by the publisher on the model card.
| Publisher | mradermacher |
|---|---|
| Task | reinforcement learning |
| Parameters (from name) | 7B |
| Format | GGUF |
| Library | transformers |
| Downloads (30 days) | 1,062 (as of 2026-10-15) |
| Price | Free to download (open weights) |
BEPA-7B-S2-GGUF pricing
Listed as Free. Detailed prices haven't been checked from the official site yet; see BEPA-7B-S2-GGUF.
How to run BEPA-7B-S2-GGUF
- Open the model page on Hugging Face and pick a quantisation file that fits your RAM/VRAM (smaller Q-numbers use less memory).
- Run it locally with llama.cpp, LM Studio or Ollama (e.g. `ollama run hf.co/mradermacher/BEPA-7B-S2-GGUF`).
- Read the model card for the prompt template, context length and licence.
Models related to BEPA-7B-S2-GGUF
ppo-Pendulum-v1
Educationreinforcement learning model by HumanCompatibleAI on Hugging Face (stable-baselines3). 45,036 downloads in the last 30 days as of 2026-10-15.
Free
NoveltyAdapt-policies
Educationreinforcement learning model by helenlu94 on Hugging Face (stable-baselines3). 23,926 downloads in the last 30 days as of 2026-10-15.
Free
Tifa-Deepsex-14b-CoT-GGUF
Educationreinforcement learning model by mradermacher on Hugging Face (transformers). 10,904 downloads in the last 30 days as of 2026-10-15.
Free
sac-BipedalWalkerHardcore-v3
Educationreinforcement learning model by sb3 on Hugging Face (stable-baselines3). 8,777 downloads in the last 30 days as of 2026-10-15.
Free
Qwen3-14B-ARPO-DeepSearch-i1-GGUF
Search & Researchreinforcement learning model by mradermacher on Hugging Face (transformers). 7,353 downloads in the last 30 days as of 2026-10-15.
Free
BEPA-7B-S2-GGUF FAQ
What is BEPA-7B-S2-GGUF?
BEPA-7B-S2-GGUF is an open AI model published on Hugging Face by mradermacher for reinforcement learning. Its name indicates a size of about 7B parameters, packaged as quantised GGUF weights for llama.
Is BEPA-7B-S2-GGUF free?
BEPA-7B-S2-GGUF is listed as free.
How do I use BEPA-7B-S2-GGUF?
1. Open the model page on Hugging Face and pick a quantisation file that fits your RAM/VRAM (smaller Q-numbers use less memory). 2. Run it locally with llama.cpp, LM Studio or Ollama (e.g. `ollama run hf.co/mradermacher/BEPA-7B-S2-GGUF`). 3. Read the model card for the prompt template, context length and licence.
What models are similar to BEPA-7B-S2-GGUF?
Related models include ppo-seals-CartPole-v0, ppo-Pendulum-v1, NoveltyAdapt-policies, Tifa-Deepsex-14b-CoT-GGUF, sac-BipedalWalkerHardcore-v3.
This page is generated from public listing data (source listing, tags, counts and our own link check); check the official page for features, licence and current pricing. Want to master tools like this? See the 100+ AI Tools Course.