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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("chirs345678/Anrn-12B-R1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download rollback/llama-bootstrap-baseline/package.json from chirs345678/Anrn-12B-R1: direct link, hf CLI and curl.
- Browser
- Download file 545 Bytes
-
https://huggingface.co/chirs345678/Anrn-12B-R1/resolve/main/rollback/llama-bootstrap-baseline/package.json
- Command line
-
hf download hf://chirs345678/Anrn-12B-R1/rollback/llama-bootstrap-baseline/package.json
-
curl -L -o package.json https://huggingface.co/chirs345678/Anrn-12B-R1/resolve/main/rollback/llama-bootstrap-baseline/package.json
545 Bytes
| { | |
| "variant": "full-bf16-original", | |
| "alias": "anru-gemma4-12b-native-multimodal-bf16-lora045", | |
| "max_gpu_memory": "14GiB", | |
| "composition": "byte-identical original BF16 base plus LoRA at scale 0.45", | |
| "attention_implementation": "sdpa", | |
| "default_system_prompt": "system_prompt.md", | |
| "system_prompt_source_name": "Anru_Constitution_v2_30000.md", | |
| "system_prompt_sha256": "5591AC2C99FDC6C8E21D1D3B87625BB368204548BEC7B63C3FD6598CF23639BF", | |
| "system_prompt_bytes": 105352, | |
| "system_prompt_chars": 38029, | |
| "system_prompt_lines": 1984 | |
| } | |