Any-to-Any
Transformers
Safetensors
GGUF
gemma4
multimodal
text-generation
image-text-to-text
audio-text-to-text
video-text-to-text
long-context
lora
bf16
llama-cpp
zh
en
Instructions to use chirs345678/Anrn-12B-R1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chirs345678/Anrn-12B-R1 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("chirs345678/Anrn-12B-R1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "repo_id": "chirs345678/Anrn-12B-R1", | |
| "display_name": "Anrn 12B R1", | |
| "source_variant": "full-bf16-original", | |
| "staging_root": "C:\\Users\\夏霖云\\Documents\\Codex\\2026-08-05\\ll-ma\\outputs\\hf-staging\\Anrn-12B-R1", | |
| "files": 108, | |
| "benchmark_image": "assets/anrn-12b-r1-benchmarks.jpg", | |
| "benchmark_results": { | |
| "MMLU-Pro": 74.2, | |
| "GPQA Diamond": 77.8, | |
| "AIME 2026 (no tools)": 69.6, | |
| "LiveCodeBench v6": 68.3, | |
| "Codeforces Elo": 1521, | |
| "BigBench Extra Hard": 48.2, | |
| "Tau2 Average": 63.2, | |
| "MMMU Pro": 62.1, | |
| "MRCR v2 (128K)": 42.6 | |
| }, | |
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