Model Card on HF 🤗: https://huggingface.co/radna/r1-14B-RL-56
R1 14B RL 56 Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
R1 14B RL 56 Parameters and Internals
| LLM Name | R1 14B RL 56 |
| Repository 🤗 | https://huggingface.co/radna/r1-14B-RL-56 |
| Model Size | 14b |
| Required VRAM | 29.7 GB |
| Updated | 2025-08-22 |
| Maintainer | radna |
| Model Type | qwen2 |
| Model Files | |
| Model Architecture | Qwen2ForCausalLM |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.49.0 |
| Tokenizer Class | LlamaTokenizerFast |
| Padding Token | <｜end▁of▁sentence｜> |
| Vocabulary Size | 152064 |
| Torch Data Type | bfloat16 |
Best Alternatives to R1 14B RL 56
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Qwen2.5 14B Instruct 1M | 986K / 29.6 GB | 14146 | 318 |
| T3Q Qwen2.5 14B V1.0 E3 | 986K / 29.7 GB | 852 | 28 |
| Qwen2.5 14B 1M YOYO V3 | 986K / 29.7 GB | 254 | 4 |
| ZYH LLM Qwen2.5 14B V4 | 986K / 29.7 GB | 62 | 8 |
| Qwen2.5 14B YOYO Latest V2 | 986K / 29.7 GB | 129 | 0 |
| Qwen2.5 14B YOYO V4 | 986K / 29.7 GB | 18 | 5 |
| ZYH LLM Qwen2.5 14B V3 | 986K / 29.7 GB | 64 | 8 |
| Etr1o V1.2 | 986K / 29.7 GB | 8 | 0 |
| ...14B Instruct 1M GRPO Reasoning | 986K / 29.7 GB | 11 | 4 |
| Impish QWEN 14B 1M | 986K / 29.7 GB | 18 | 17 |
Note: green Score (e.g. "73.2") means that the model is better than radna/r1-14B-RL-56 .
Rank the R1 14B RL 56 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124