Instructions to use ucla-cmllab/llama-2-qlora-ultrachat-200k-processed-indicator-0.6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ucla-cmllab/llama-2-qlora-ultrachat-200k-processed-indicator-0.6 with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Download config.json from ucla-cmllab/llama-2-qlora-ultrachat-200k-processed-indicator-0.6: direct link, hf CLI and curl.
- Browser
- Download file 684 Bytes
-
https://huggingface.co/ucla-cmllab/llama-2-qlora-ultrachat-200k-processed-indicator-0.6/resolve/main/config.json
- Command line
-
hf download hf://ucla-cmllab/llama-2-qlora-ultrachat-200k-processed-indicator-0.6/config.json
-
curl -L -o config.json https://huggingface.co/ucla-cmllab/llama-2-qlora-ultrachat-200k-processed-indicator-0.6/resolve/main/config.json
684 Bytes
| { | |
| "_name_or_path": "meta-llama/Llama-2-7b-hf", | |
| "architectures": [ | |
| "LlamaForCausalLM" | |
| ], | |
| "attention_bias": false, | |
| "attention_dropout": 0.0, | |
| "bos_token_id": 1, | |
| "eos_token_id": 2, | |
| "hidden_act": "silu", | |
| "hidden_size": 4096, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 11008, | |
| "max_position_embeddings": 4096, | |
| "model_type": "llama", | |
| "num_attention_heads": 32, | |
| "num_hidden_layers": 32, | |
| "num_key_value_heads": 32, | |
| "pretraining_tp": 1, | |
| "rms_norm_eps": 1e-05, | |
| "rope_scaling": null, | |
| "rope_theta": 10000.0, | |
| "tie_word_embeddings": false, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.40.1", | |
| "use_cache": true, | |
| "vocab_size": 32002 | |
| } | |