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README.md ADDED
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+ ---
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+ library_name: peft
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+ ---
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+ ## Training procedure
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+
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+
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+ The following `bitsandbytes` quantization config was used during training:
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+ - load_in_8bit: False
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+ - load_in_4bit: True
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+ - llm_int8_threshold: 6.0
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+ - llm_int8_skip_modules: ['mm_projector']
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+ - llm_int8_enable_fp32_cpu_offload: False
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+ - llm_int8_has_fp16_weight: False
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+ - bnb_4bit_quant_type: nf4
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+ - bnb_4bit_use_double_quant: True
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+ - bnb_4bit_compute_dtype: bfloat16
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+ ### Framework versions
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+
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+
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+ - PEFT 0.4.0
adapter_config.json ADDED
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+ {
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+ "auto_mapping": null,
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+ "base_model_name_or_path": "./temp/llava-v1.5-13b",
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+ "bias": "none",
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+ "fan_in_fan_out": false,
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+ "inference_mode": true,
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+ "init_lora_weights": true,
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+ "layers_pattern": null,
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+ "layers_to_transform": null,
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+ "lora_alpha": 256,
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+ "lora_dropout": 0.05,
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+ "modules_to_save": null,
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+ "peft_type": "LORA",
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+ "r": 128,
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+ "revision": null,
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+ "target_modules": [
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+ "k_proj",
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+ "v_proj",
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+ "down_proj",
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+ "q_proj",
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+ "o_proj",
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+ "gate_proj",
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+ "up_proj"
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+ ],
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+ "task_type": "CAUSAL_LM"
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+ }
adapter_model.bin ADDED
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best_llava_eval_model/README.md ADDED
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+ ---
2
+ library_name: peft
3
+ ---
4
+ ## Training procedure
5
+
6
+
7
+ The following `bitsandbytes` quantization config was used during training:
8
+ - load_in_8bit: False
9
+ - load_in_4bit: True
10
+ - llm_int8_threshold: 6.0
11
+ - llm_int8_skip_modules: ['mm_projector']
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+ - llm_int8_enable_fp32_cpu_offload: False
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+ - llm_int8_has_fp16_weight: False
14
+ - bnb_4bit_quant_type: nf4
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+ - bnb_4bit_use_double_quant: True
16
+ - bnb_4bit_compute_dtype: bfloat16
17
+ ### Framework versions
18
+
19
+
20
+ - PEFT 0.4.0
best_llava_eval_model/adapter_config.json ADDED
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+ {
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+ "auto_mapping": null,
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+ "base_model_name_or_path": "./temp/llava-v1.5-13b",
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+ "bias": "none",
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+ "fan_in_fan_out": false,
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+ "inference_mode": true,
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+ "init_lora_weights": true,
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+ "layers_pattern": null,
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+ "layers_to_transform": null,
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+ "lora_alpha": 256,
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+ "lora_dropout": 0.05,
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+ "modules_to_save": null,
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+ "peft_type": "LORA",
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+ "r": 128,
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+ "revision": null,
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+ "target_modules": [
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+ "k_proj",
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+ "v_proj",
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+ "down_proj",
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+ "q_proj",
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+ "o_proj",
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+ "gate_proj",
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+ "up_proj"
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+ ],
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+ "task_type": "CAUSAL_LM"
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+ }
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+ {
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+ "_name_or_path": "./temp/llava-v1.5-13b",
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+ "architectures": [
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+ "LlavaLlamaForCausalLM"
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+ ],
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+ "bos_token_id": 1,
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+ "eos_token_id": 2,
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+ "freeze_mm_mlp_adapter": false,
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+ "freeze_mm_vision_resampler": false,
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+ "hidden_act": "silu",
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+ "hidden_size": 5120,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 13824,
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+ "max_length": 4096,
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+ "max_position_embeddings": 4096,
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+ "mm_hidden_size": 1024,
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+ "mm_projector_lr": 2e-05,
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+ "mm_projector_type": "mlp2x_gelu",
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+ "mm_resampler_type": null,
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+ "mm_use_im_patch_token": false,
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+ "mm_use_im_start_end": false,
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+ "mm_vision_select_feature": "patch",
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+ "mm_vision_select_layer": -2,
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+ "mm_vision_tower": "openai/clip-vit-large-patch14-336",
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+ "model_type": "llava",
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+ "num_attention_heads": 40,
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+ "num_hidden_layers": 40,
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+ "pretraining_tp": 1,
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+ "quantization_config": {
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+ "bnb_4bit_compute_dtype": "bfloat16",
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+ "bnb_4bit_quant_type": "nf4",
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+ "bnb_4bit_use_double_quant": true,
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+ "llm_int8_enable_fp32_cpu_offload": false,
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+ "llm_int8_has_fp16_weight": false,
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+ "llm_int8_skip_modules": [
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+ "mm_projector"
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+ "llm_int8_threshold": 6.0,
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+ "load_in_4bit": true,
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+ "load_in_8bit": false
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+ },
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+ "rms_norm_eps": 1e-05,
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+ "rope_scaling": null,
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+ "tie_word_embeddings": false,
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+ "tokenizer_model_max_length": 2048,
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+ "tokenizer_padding_side": "right",
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.31.0",
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+ "tune_mm_mlp_adapter": false,
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+ "unfreeze_mm_vision_tower": false,
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+ "use_cache": false,
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+ "use_mm_proj": true,
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+ "vocab_size": 32000
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+ }
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+ {
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+ "_name_or_path": "./temp/llava-v1.5-13b",
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+ "architectures": [
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+ "load_in_4bit": true,
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trainer_state.json ADDED
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