Instructions to use liddlefish/LoopUno-Nanbeige4.2-3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use liddlefish/LoopUno-Nanbeige4.2-3B with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Download model_code/config.json from liddlefish/LoopUno-Nanbeige4.2-3B: direct link, hf CLI and curl.
- Browser
- Download file 1.09 kB
-
https://huggingface.co/liddlefish/LoopUno-Nanbeige4.2-3B/resolve/main/model_code/config.json
- Command line
-
hf download hf://liddlefish/LoopUno-Nanbeige4.2-3B/model_code/config.json
-
curl -L -o config.json https://huggingface.co/liddlefish/LoopUno-Nanbeige4.2-3B/resolve/main/model_code/config.json
1.09 kB
| { | |
| "architectures": [ | |
| "SDARForCausalLM" | |
| ], | |
| "attention_bias": false, | |
| "attention_dropout": 0.0, | |
| "bos_token_id": 166100, | |
| "eos_token_id": 166101, | |
| "head_dim": 128, | |
| "hidden_act": "silu", | |
| "hidden_size": 3072, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 10752, | |
| "max_position_embeddings": 262144, | |
| "max_window_layers": 22, | |
| "model_type": "sdar", | |
| "num_attention_heads": 48, | |
| "num_hidden_layers": 22, | |
| "num_key_value_heads": 8, | |
| "rms_norm_eps": 1e-05, | |
| "rope_theta": 70000000, | |
| "sliding_window": null, | |
| "tie_word_embeddings": false, | |
| "torch_dtype": "bfloat16", | |
| "transformers_version": "4.51.0", | |
| "use_cache": false, | |
| "use_sliding_window": false, | |
| "vocab_size": 166144, | |
| "auto_map": { | |
| "AutoConfig": "configuration_sdar.SDARConfig", | |
| "AutoModel": "modeling_sdar.SDARModel", | |
| "AutoModelForCausalLM": "modeling_sdar.SDARForCausalLM" | |
| }, | |
| "attn_implementation": "flex_attention", | |
| "block_size": 8, | |
| "mask_token_id": 166107, | |
| "fuse_cross_entropy": true, | |
| "pad_token_id": 0, | |
| "num_loops": 2, | |
| "use_qk_norm": false, | |
| "noise": "uniform" | |
| } |