| { | |
| "_name_or_path": "fxmarty/small-llama-testing", | |
| "architectures": [ | |
| "LlamaForCausalLM" | |
| ], | |
| "attention_bias": false, | |
| "attention_dropout": 0.0, | |
| "bos_token_id": 0, | |
| "eos_token_id": 1, | |
| "head_dim": 64, | |
| "hidden_act": "silu", | |
| "hidden_size": 256, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 128, | |
| "max_position_embeddings": 2048, | |
| "mlp_bias": false, | |
| "model_type": "llama", | |
| "num_attention_heads": 4, | |
| "num_hidden_layers": 2, | |
| "num_key_value_heads": 4, | |
| "pad_token_id": -1, | |
| "pretraining_tp": 1, | |
| "quantization_config": { | |
| "algo_config": { | |
| "model_decoder_layers": "model.layers", | |
| "name": "awq", | |
| "processor": "AwqProcessor", | |
| "scaling_layers": [ | |
| { | |
| "inp": "self_attn.q_proj", | |
| "layers": [ | |
| "self_attn.q_proj", | |
| "self_attn.k_proj", | |
| "self_attn.v_proj" | |
| ], | |
| "module2inspect": "self_attn", | |
| "prev_op": "input_layernorm" | |
| }, | |
| { | |
| "condition": "module.self_attn.v_proj.weight.shape == module.self_attn.o_proj.weight.shape", | |
| "help": "attention out, Please refer to https://github.com/mit-han-lab/llm-awq/pull/67#issue-1850622696, if module.self_attn.v_proj.weight.shape == module.self_attn.o_proj.weight.shape", | |
| "inp": "self_attn.o_proj", | |
| "layers": [ | |
| "self_attn.o_proj" | |
| ], | |
| "prev_op": "self_attn.v_proj" | |
| }, | |
| { | |
| "inp": "mlp.gate_proj", | |
| "layers": [ | |
| "mlp.gate_proj", | |
| "mlp.up_proj" | |
| ], | |
| "module2inspect": "mlp", | |
| "prev_op": "post_attention_layernorm" | |
| }, | |
| { | |
| "inp": "mlp.down_proj", | |
| "layers": [ | |
| "mlp.down_proj" | |
| ], | |
| "prev_op": "mlp.up_proj" | |
| } | |
| ] | |
| }, | |
| "exclude": [ | |
| "lm_head" | |
| ], | |
| "export": { | |
| "kv_cache_group": [], | |
| "pack_method": "reorder", | |
| "weight_format": "real_quantized", | |
| "weight_merge_groups": null | |
| }, | |
| "global_quant_config": { | |
| "bias": null, | |
| "input_tensors": null, | |
| "output_tensors": null, | |
| "target_device": null, | |
| "weight": { | |
| "ch_axis": 1, | |
| "dtype": "int4", | |
| "group_size": 4, | |
| "is_dynamic": false, | |
| "observer_cls": "PerGroupMinMaxObserver", | |
| "qscheme": "per_group", | |
| "round_method": "half_even", | |
| "scale_type": "float", | |
| "symmetric": true | |
| } | |
| }, | |
| "layer_quant_config": {}, | |
| "layer_type_quant_config": {}, | |
| "pack_method": "reorder", | |
| "quant_method": "quark", | |
| "quant_mode": "eager_mode" | |
| }, | |
| "rms_norm_eps": 1e-06, | |
| "rope_scaling": null, | |
| "rope_theta": 10000.0, | |
| "tie_word_embeddings": false, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.46.0.dev0", | |
| "use_cache": true, | |
| "vocab_size": 32000 | |
| } | |