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- mlc-chat-config.json +90 -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_11.bin +3 -0
- params_shard_12.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
- params_shard_31.bin +3 -0
- params_shard_32.bin +3 -0
- params_shard_33.bin +3 -0
- params_shard_34.bin +3 -0
- params_shard_35.bin +3 -0
- params_shard_36.bin +3 -0
- params_shard_37.bin +3 -0
- params_shard_38.bin +3 -0
- params_shard_39.bin +3 -0
- params_shard_4.bin +3 -0
- params_shard_40.bin +3 -0
- params_shard_41.bin +3 -0
- params_shard_42.bin +3 -0
- params_shard_43.bin +3 -0
- params_shard_44.bin +3 -0
- params_shard_45.bin +3 -0
- params_shard_46.bin +3 -0
- params_shard_47.bin +3 -0
- params_shard_48.bin +3 -0
- params_shard_49.bin +3 -0
- params_shard_5.bin +3 -0
- params_shard_50.bin +3 -0
- params_shard_51.bin +3 -0
mlc-chat-config.json
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{
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"version": "0.1.0",
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"model_type": "llama",
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"quantization": "q4f16_1",
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"model_config": {
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"hidden_size": 3072,
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"intermediate_size": 8192,
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"num_attention_heads": 24,
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"num_hidden_layers": 28,
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"rms_norm_eps": 1e-05,
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"vocab_size": 128256,
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"tie_word_embeddings": true,
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"position_embedding_base": 500000.0,
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"rope_scaling": {
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"factor": 32.0,
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"high_freq_factor": 4.0,
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"low_freq_factor": 1.0,
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"original_max_position_embeddings": 8192,
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"rope_type": "llama3"
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},
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"context_window_size": 131072,
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"prefill_chunk_size": 8192,
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"num_key_value_heads": 8,
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"head_dim": 128,
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"tensor_parallel_shards": 1,
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"pipeline_parallel_stages": 1,
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"max_batch_size": 128
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},
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"vocab_size": 128256,
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"context_window_size": 131072,
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"sliding_window_size": -1,
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"prefill_chunk_size": 8192,
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"attention_sink_size": -1,
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"tensor_parallel_shards": 1,
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"pipeline_parallel_stages": 1,
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"temperature": 0.6,
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"presence_penalty": 0.0,
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"frequency_penalty": 0.0,
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"repetition_penalty": 1.0,
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"top_p": 0.9,
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"tokenizer_files": [
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"tokenizer.json",
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"tokenizer_config.json"
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],
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"tokenizer_info": {
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"token_postproc_method": "byte_level",
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"prepend_space_in_encode": false,
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"strip_space_in_decode": false
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},
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"conv_template": {
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"name": "llama-3_1",
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"system_template": "<|start_header_id|>system<|end_header_id|>\n\n{system_message}<|eot_id|>",
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"system_message": "You are a helpful, respectful and honest assistant.",
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"system_prefix_token_ids": [
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128000
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],
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"add_role_after_system_message": true,
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"roles": {
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"user": "<|start_header_id|>user",
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"assistant": "<|start_header_id|>assistant",
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"tool": "<|start_header_id|>ipython"
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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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"seps": [
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"<|eot_id|>"
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],
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"role_content_sep": "<|end_header_id|>\n\n",
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"role_empty_sep": "<|end_header_id|>\n\n",
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"stop_str": [],
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"stop_token_ids": [
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128001,
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128008,
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128009
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],
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"function_string": "",
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"use_function_calling": false
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},
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"pad_token_id": 0,
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"bos_token_id": 128000,
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"eos_token_id": [
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128001,
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128008,
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128009
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]
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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_11.bin
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params_shard_14.bin
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