| { |
| "_name_or_path": "/mnt/disk2/alex_working/Llama-2-7b-hf-original", |
| "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, |
| "quantization_config": { |
| "batch_size": 1, |
| "bits": 8, |
| "block_name_to_quantize": null, |
| "cache_block_outputs": true, |
| "damp_percent": 0.1, |
| "dataset": [ |
| "auto-gptq is an easy-to-use model quantization library with user-friendly apis, based on GPTQ algorithm." |
| ], |
| "desc_act": false, |
| "exllama_config": { |
| "version": 1 |
| }, |
| "group_size": 128, |
| "max_input_length": null, |
| "model_seqlen": null, |
| "module_name_preceding_first_block": null, |
| "modules_in_block_to_quantize": null, |
| "pad_token_id": null, |
| "quant_method": "gptq", |
| "sym": true, |
| "tokenizer": null, |
| "true_sequential": true, |
| "use_cuda_fp16": false, |
| "use_exllama": true |
| }, |
| "rms_norm_eps": 1e-05, |
| "rope_scaling": null, |
| "rope_theta": 10000.0, |
| "tie_word_embeddings": false, |
| "torch_dtype": "float16", |
| "transformers_version": "4.39.0.dev0", |
| "use_cache": true, |
| "vocab_size": 32000 |
| } |
|
|
