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- merges.txt +0 -0
- mlc-chat-config.json +82 -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
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- params_shard_17.bin +3 -0
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- 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
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- params_shard_32.bin +3 -0
- params_shard_33.bin +3 -0
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merges.txt
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mlc-chat-config.json
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{
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"version": "0.1.0",
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"model_type": "qwen2",
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"quantization": "q4f16_1",
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"model_config": {
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"hidden_act": "silu",
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"hidden_size": 3584,
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"intermediate_size": 18944,
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"num_attention_heads": 28,
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"num_hidden_layers": 28,
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"num_key_value_heads": 4,
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"rms_norm_eps": 1e-06,
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"rope_theta": 10000.0,
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"vocab_size": 152064,
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"tie_word_embeddings": false,
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"context_window_size": 4096,
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"prefill_chunk_size": 2048,
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"tensor_parallel_shards": 1,
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"head_dim": 128,
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"dtype": "float32",
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"max_batch_size": 80
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},
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"vocab_size": 152064,
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"context_window_size": 4096,
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"sliding_window_size": -1,
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"prefill_chunk_size": 2048,
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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": 0.7,
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"presence_penalty": 0.0,
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"frequency_penalty": 0.0,
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"repetition_penalty": 1.05,
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"top_p": 0.8,
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"tokenizer_files": [
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"tokenizer.json",
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"vocab.json",
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"merges.txt",
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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": "chatml",
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"system_template": "<|im_start|>system\n{system_message}<|im_end|>\n",
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"system_message": "A conversation between a user and an LLM-based AI assistant. The assistant gives helpful and honest answers.",
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"system_prefix_token_ids": null,
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"add_role_after_system_message": true,
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"roles": {
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"user": "<|im_start|>user",
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"assistant": "<|im_start|>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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"seps": [
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"<|im_end|>\n"
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],
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"role_content_sep": "\n",
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"role_empty_sep": "\n",
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"stop_str": [
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"<|im_end|>"
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],
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"stop_token_ids": [
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"function_string": "",
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"use_function_calling": false
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}
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ndarray-cache.json
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params_shard_0.bin
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