Upload folder using huggingface_hub
Browse files- mlc-chat-config.json +76 -0
- ndarray-cache-b16.json +0 -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_4.bin +3 -0
- params_shard_5.bin +3 -0
- params_shard_6.bin +3 -0
- params_shard_7.bin +3 -0
- params_shard_8.bin +3 -0
- params_shard_9.bin +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +35 -0
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": "q4f32_1",
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"model_config": {
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"hidden_act": "silu",
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"hidden_size": 1536,
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"intermediate_size": 8960,
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"num_attention_heads": 12,
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"num_hidden_layers": 28,
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"num_key_value_heads": 2,
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"rms_norm_eps": 1e-06,
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"rope_theta": 10000,
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"vocab_size": 151936,
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"tie_word_embeddings": false,
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"context_window_size": 131072,
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"prefill_chunk_size": 8192,
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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": 128
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},
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"vocab_size": 151936,
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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": 1.0,
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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": 1.0,
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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": "deepseek_v3",
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"system_template": "<\uff5cbegin\u2581of\u2581sentence\uff5c>{system_message}",
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"system_message": "You are a helpful assistant.",
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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": "<\uff5cUser\uff5c>",
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"assistant": "<\uff5cAssistant\uff5c>"
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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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"",
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"<\uff5cend\u2581of\u2581sentence\uff5c>"
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],
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"role_content_sep": "",
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"role_empty_sep": "",
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"stop_str": [],
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"stop_token_ids": [
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151643
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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": 151643,
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"eos_token_id": 151643
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}
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ndarray-cache-b16.json
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ndarray-cache.json
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params_shard_0.bin
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tokenizer.json
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tokenizer_config.json
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|
27 |
+
"normalized": true,
|
28 |
+
"rstrip": false,
|
29 |
+
"single_word": false
|
30 |
+
},
|
31 |
+
"sp_model_kwargs": {},
|
32 |
+
"unk_token": null,
|
33 |
+
"tokenizer_class": "LlamaTokenizerFast",
|
34 |
+
"chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set ns = namespace(is_first=false, is_tool=false, is_output_first=true, system_prompt='') %}{%- for message in messages %}{%- if message['role'] == 'system' %}{% set ns.system_prompt = message['content'] %}{%- endif %}{%- endfor %}{{bos_token}}{{ns.system_prompt}}{%- for message in messages %}{%- if message['role'] == 'user' %}{%- set ns.is_tool = false -%}{{'<|User|>' + message['content']}}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is none %}{%- set ns.is_tool = false -%}{%- for tool in message['tool_calls']%}{%- if not ns.is_first %}{{'<|Assistant|><|tool▁calls▁begin|><|tool▁call▁begin|>' + tool['type'] + '<|tool▁sep|>' + tool['function']['name'] + '\\n' + '```json' + '\\n' + tool['function']['arguments'] + '\\n' + '```' + '<|tool▁call▁end|>'}}{%- set ns.is_first = true -%}{%- else %}{{'\\n' + '<|tool▁call▁begin|>' + tool['type'] + '<|tool▁sep|>' + tool['function']['name'] + '\\n' + '```json' + '\\n' + tool['function']['arguments'] + '\\n' + '```' + '<|tool▁call▁end|>'}}{{'<|tool▁calls▁end|><|end▁of▁sentence|>'}}{%- endif %}{%- endfor %}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is not none %}{%- if ns.is_tool %}{{'<|tool▁outputs▁end|>' + message['content'] + '<|end▁of▁sentence|>'}}{%- set ns.is_tool = false -%}{%- else %}{% set content = message['content'] %}{% if '</think>' in content %}{% set content = content.split('</think>')[-1] %}{% endif %}{{'<|Assistant|>' + content + '<|end▁of▁sentence|>'}}{%- endif %}{%- endif %}{%- if message['role'] == 'tool' %}{%- set ns.is_tool = true -%}{%- if ns.is_output_first %}{{'<|tool▁outputs▁begin|><|tool▁output▁begin|>' + message['content'] + '<|tool▁output▁end|>'}}{%- set ns.is_output_first = false %}{%- else %}{{'\\n<|tool▁output▁begin|>' + message['content'] + '<|tool▁output▁end|>'}}{%- endif %}{%- endif %}{%- endfor -%}{% if ns.is_tool %}{{'<|tool▁outputs▁end|>'}}{% endif %}{% if add_generation_prompt and not ns.is_tool %}{{'<|Assistant|>'}}{% endif %}"
|
35 |
+
}
|