Quantized Llava-1_5-7b model for Android.
Browse filesThis view is limited to 50 files because it contains too many changes.
See raw diff
- added_tokens.json +4 -0
- llava-1.5-7b-hf-q4f16_1-android.tar +3 -0
- mlc-chat-config.json +175 -0
- ndarray-cache.json +0 -0
- params_shard_0.bin +3 -0
- params_shard_1.bin +3 -0
- params_shard_10.bin +3 -0
- params_shard_100.bin +3 -0
- params_shard_101.bin +3 -0
- params_shard_102.bin +3 -0
- params_shard_103.bin +3 -0
- params_shard_104.bin +3 -0
- params_shard_105.bin +3 -0
- params_shard_106.bin +3 -0
- params_shard_107.bin +3 -0
- params_shard_108.bin +3 -0
- params_shard_109.bin +3 -0
- params_shard_11.bin +3 -0
- params_shard_110.bin +3 -0
- params_shard_111.bin +3 -0
- params_shard_112.bin +3 -0
- params_shard_113.bin +3 -0
- params_shard_114.bin +3 -0
- params_shard_115.bin +3 -0
- params_shard_116.bin +3 -0
- params_shard_117.bin +3 -0
- params_shard_118.bin +3 -0
- params_shard_119.bin +3 -0
- params_shard_12.bin +3 -0
- params_shard_120.bin +3 -0
- params_shard_13.bin +3 -0
- params_shard_14.bin +3 -0
- params_shard_15.bin +3 -0
- params_shard_16.bin +3 -0
- params_shard_17.bin +3 -0
- params_shard_18.bin +3 -0
- params_shard_19.bin +3 -0
- params_shard_2.bin +3 -0
- params_shard_20.bin +3 -0
- params_shard_21.bin +3 -0
- params_shard_22.bin +3 -0
- params_shard_23.bin +3 -0
- params_shard_24.bin +3 -0
- params_shard_25.bin +3 -0
- params_shard_26.bin +3 -0
- params_shard_27.bin +3 -0
- params_shard_28.bin +3 -0
- params_shard_29.bin +3 -0
- params_shard_3.bin +3 -0
- params_shard_30.bin +3 -0
added_tokens.json
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{
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"<image>": 32000,
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"<pad>": 32001
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}
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llava-1.5-7b-hf-q4f16_1-android.tar
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version https://git-lfs.github.com/spec/v1
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oid sha256:af7b1f39e91b4dae2ae7782a99c108696df780afca6725a006ab1f317e2a425d
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size 567841
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mlc-chat-config.json
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{
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"model_type": "llava",
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"quantization": "q4f16_1",
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"model_config": {
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"image_token_index": 32000,
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"text_config": {
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"hidden_size": 4096,
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"intermediate_size": 11008,
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"rms_norm_eps": 1e-05,
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"vocab_size": 32000,
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"position_embedding_base": 10000.0,
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"context_window_size": 4096,
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"prefill_chunk_size": 2048,
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"num_key_value_heads": 32,
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"head_dim": 128,
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"tensor_parallel_shards": 1,
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"max_batch_size": 1,
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"kwargs": {
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"_name_or_path": "lmsys/vicuna-7b-v1.5",
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"architectures": [
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"LlamaForCausalLM"
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],
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"model_type": "llama",
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"torch_dtype": "float16",
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"hidden_act": "silu",
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"initializer_range": 0.02,
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"pretraining_tp": 1,
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"use_cache": true,
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"rope_scaling": null,
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"attention_bias": false,
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"attention_dropout": 0.0,
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"mlp_bias": false,
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"return_dict": true,
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"torchscript": false,
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"tie_word_embeddings": false,
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"max_length": 20,
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"min_length": 0,
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"do_sample": false,
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"early_stopping": false,
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"num_beams": 1,
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"num_beam_groups": 1,
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"diversity_penalty": 0.0,
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"temperature": 1.0,
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"top_k": 50,
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"top_p": 1.0,
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"num_return_sequences": 1,
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"output_scores": false,
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"return_dict_in_generate": false,
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"forced_bos_token_id": null,
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"forced_eos_token_id": null,
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"remove_invalid_values": false,
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"exponential_decay_length_penalty": null,
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"suppress_tokens": null,
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"begin_suppress_tokens": null,
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"finetuning_task": null,
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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1"
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},
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"label2id": {
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"LABEL_1": 1
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"prefix": null,
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"problem_type": null,
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"transformers_version": "4.41.0"
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}
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},
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"vision_config": {
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"hidden_size": 1024,
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"image_size": 336,
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"num_attention_heads": 16,
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"patch_size": 14,
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"num_channels": 3,
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"layer_norm_eps": 1e-06,
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"kwargs": {
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"model_type": "clip_vision_model"
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}
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"vocab_size": 32064,
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"top_p": 0.95,
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"conv_template": {
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"name": "llava",
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"system_template": "{system_message}",
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"system_message": "\n",
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"user": "USER",
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"assistant": "ASSISTANT"
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},
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"role_templates": {
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"user": "{user_message}",
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"assistant": "{assistant_message}",
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"tool": "{tool_message}"
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},
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"messages": [],
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" "
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"tokenizer_config.json"
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"token_table_postproc_method": "byte_fallback",
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"version": "0.1.0"
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}
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ndarray-cache.json
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params_shard_0.bin
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params_shard_1.bin
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params_shard_10.bin
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params_shard_100.bin
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params_shard_101.bin
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params_shard_102.bin
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params_shard_103.bin
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params_shard_104.bin
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params_shard_106.bin
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