Initial commit
Browse files- logs.txt +235 -0
- merges.txt +0 -0
- mlc-chat-config.json +83 -0
- ndarray-cache.json +2025 -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_3.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 +40 -0
- vocab.json +0 -0
logs.txt
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/opt/conda/envs/py310/bin/python -m mlc_llm gen_config /models/Qwen1.5-0.5B-Chat --quantization q0f16 --conv-template chatml --output /models/mlc-delivery/hf/mlc-ai/Qwen1.5-0.5B-Chat-q0f16-MLC
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[2024-06-04 03:31:58] INFO auto_config.py:116: [92mFound[0m model configuration: /models/Qwen1.5-0.5B-Chat/config.json
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[2024-06-04 03:31:58] INFO auto_config.py:154: [92mFound[0m model type: [1mqwen2[0m. Use `--model-type` to override.
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[2024-06-04 03:31:58] INFO qwen2_model.py:49: [1mcontext_window_size[0m not found in config.json. Falling back to [1mmax_position_embeddings[0m (32768)
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[2024-06-04 03:31:58] INFO qwen2_model.py:66: [1mprefill_chunk_size[0m defaults to 2048
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[2024-06-04 03:31:58] INFO config.py:107: Overriding [1mmax_batch_size[0m from 1 to 80
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[2024-06-04 03:31:58] INFO gen_config.py:143: [generation_config.json] Setting [1mbos_token_id[0m: 151643
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[2024-06-04 03:31:58] INFO gen_config.py:143: [generation_config.json] Setting [1mpad_token_id[0m: 151643
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[2024-06-04 03:31:58] INFO gen_config.py:143: [generation_config.json] Setting [1meos_token_id[0m: [151645, 151643]
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[2024-06-04 03:31:58] INFO gen_config.py:143: [generation_config.json] Setting [1mrepetition_penalty[0m: 1.1
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[2024-06-04 03:31:58] INFO gen_config.py:143: [generation_config.json] Setting [1mtop_p[0m: 0.8
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[2024-06-04 03:31:58] INFO gen_config.py:157: [91mNot found[0m tokenizer config: /models/Qwen1.5-0.5B-Chat/tokenizer.model
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[2024-06-04 03:31:58] INFO gen_config.py:155: [92mFound[0m tokenizer config: /models/Qwen1.5-0.5B-Chat/tokenizer.json. Copying to [1m/models/mlc-delivery/hf/mlc-ai/Qwen1.5-0.5B-Chat-q0f16-MLC/tokenizer.json[0m
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[2024-06-04 03:31:58] INFO gen_config.py:155: [92mFound[0m tokenizer config: /models/Qwen1.5-0.5B-Chat/vocab.json. Copying to [1m/models/mlc-delivery/hf/mlc-ai/Qwen1.5-0.5B-Chat-q0f16-MLC/vocab.json[0m
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[2024-06-04 03:31:58] INFO gen_config.py:155: [92mFound[0m tokenizer config: /models/Qwen1.5-0.5B-Chat/merges.txt. Copying to [1m/models/mlc-delivery/hf/mlc-ai/Qwen1.5-0.5B-Chat-q0f16-MLC/merges.txt[0m
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[2024-06-04 03:31:58] INFO gen_config.py:157: [91mNot found[0m tokenizer config: /models/Qwen1.5-0.5B-Chat/added_tokens.json
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[2024-06-04 03:31:58] INFO gen_config.py:155: [92mFound[0m tokenizer config: /models/Qwen1.5-0.5B-Chat/tokenizer_config.json. Copying to [1m/models/mlc-delivery/hf/mlc-ai/Qwen1.5-0.5B-Chat-q0f16-MLC/tokenizer_config.json[0m
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[2024-06-04 03:31:58] INFO gen_config.py:216: Detected tokenizer info: {'token_postproc_method': 'byte_level', 'prepend_space_in_encode': False, 'strip_space_in_decode': False}
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[2024-06-04 03:31:58] INFO gen_config.py:32: [System default] Setting [1mtemperature[0m: 1.0
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[2024-06-04 03:31:58] INFO gen_config.py:32: [System default] Setting [1mpresence_penalty[0m: 0.0
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[2024-06-04 03:31:58] INFO gen_config.py:223: Dumping configuration file to: [1m/models/mlc-delivery/hf/mlc-ai/Qwen1.5-0.5B-Chat-q0f16-MLC/mlc-chat-config.json[0m
|
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+
/opt/conda/envs/py310/bin/python -m mlc_llm convert_weight /models/Qwen1.5-0.5B-Chat --quantization q0f16 --output /models/mlc-delivery/hf/mlc-ai/Qwen1.5-0.5B-Chat-q0f16-MLC
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[2024-06-04 03:32:00] INFO auto_config.py:116: [92mFound[0m model configuration: /models/Qwen1.5-0.5B-Chat/config.json
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[2024-06-04 03:32:01] INFO auto_device.py:79: [92mFound[0m device: cuda:0
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[2024-06-04 03:32:07] INFO auto_device.py:35: Using device: [1mcuda:0[0m
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[2024-06-04 03:32:07] INFO auto_weight.py:71: Finding weights in: /models/Qwen1.5-0.5B-Chat
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[2024-06-04 03:32:07] INFO auto_weight.py:137: [91mNot found[0m Huggingface PyTorch
|
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[2024-06-04 03:32:07] INFO auto_weight.py:144: [92mFound[0m source weight format: huggingface-safetensor. Source configuration: /models/Qwen1.5-0.5B-Chat/model.safetensors.index.json
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40 |
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[2024-06-04 03:32:07] INFO auto_weight.py:107: Using source weight configuration: [1m/models/Qwen1.5-0.5B-Chat/model.safetensors.index.json[0m. Use `--source` to override.
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[2024-06-04 03:32:07] INFO auto_weight.py:111: Using source weight format: [1mhuggingface-safetensor[0m. Use `--source-format` to override.
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[2024-06-04 03:32:07] INFO auto_config.py:154: [92mFound[0m model type: [1mqwen2[0m. Use `--model-type` to override.
|
43 |
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[2024-06-04 03:32:07] INFO qwen2_model.py:49: [1mcontext_window_size[0m not found in config.json. Falling back to [1mmax_position_embeddings[0m (32768)
|
44 |
+
[2024-06-04 03:32:07] INFO qwen2_model.py:66: [1mprefill_chunk_size[0m defaults to 2048
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[1mWeight conversion with arguments:[0m
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[1m--config[0m /models/Qwen1.5-0.5B-Chat/config.json
|
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[1m--quantization[0m NoQuantize(name='q0f16', kind='no-quant', model_dtype='float16')
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[1m--output[0m /models/mlc-delivery/hf/mlc-ai/Qwen1.5-0.5B-Chat-q0f16-MLC
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Start storing to cache /models/mlc-delivery/hf/mlc-ai/Qwen1.5-0.5B-Chat-q0f16-MLC
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[2024-06-04 03:32:17] INFO huggingface_loader.py:197: Unloading HF weight file: /models/Qwen1.5-0.5B-Chat/model.safetensors
|
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[2024-06-04 03:32:17] INFO stats.py:77: [92mTime usage[0m: HF loading: 2.308 sec; Pre-quantization mapping: 2.992 sec; Quantization: 0.000 sec
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[2024-06-04 03:32:17] INFO stats.py:91: [92mRAM usage[0m: Peak RAM: 2.308 GB. Total bytes loaded from disk: 2.308 GB
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[2024-06-04 03:32:17] INFO convert_weight.py:155: [92mParameter size[0m after quantization: 1.154 GB
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[2024-06-04 03:32:17] INFO convert_weight.py:160: [92mTotal parameters[0m: 619,570,176
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[2024-06-04 03:32:17] INFO convert_weight.py:161: [92mBits per parameter[0m: 16.000
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[2024-06-04 03:32:17] INFO convert_weight.py:166: Saved to directory: [1m/models/mlc-delivery/hf/mlc-ai/Qwen1.5-0.5B-Chat-q0f16-MLC[0m
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All finished, 26 total shards committed, record saved to /models/mlc-delivery/hf/mlc-ai/Qwen1.5-0.5B-Chat-q0f16-MLC/ndarray-cache.json
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mlc-chat-config.json
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"version": "0.1.0",
|
3 |
+
"model_type": "qwen2",
|
4 |
+
"quantization": "q0f16",
|
5 |
+
"model_config": {
|
6 |
+
"hidden_act": "silu",
|
7 |
+
"hidden_size": 1024,
|
8 |
+
"intermediate_size": 2816,
|
9 |
+
"num_attention_heads": 16,
|
10 |
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"num_hidden_layers": 24,
|
11 |
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"num_key_value_heads": 16,
|
12 |
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"rms_norm_eps": 1e-06,
|
13 |
+
"rope_theta": 1000000.0,
|
14 |
+
"vocab_size": 151936,
|
15 |
+
"context_window_size": 32768,
|
16 |
+
"prefill_chunk_size": 2048,
|
17 |
+
"tensor_parallel_shards": 1,
|
18 |
+
"head_dim": 64,
|
19 |
+
"dtype": "float32",
|
20 |
+
"max_batch_size": 80
|
21 |
+
},
|
22 |
+
"vocab_size": 151936,
|
23 |
+
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|
24 |
+
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|
25 |
+
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|
26 |
+
"attention_sink_size": -1,
|
27 |
+
"tensor_parallel_shards": 1,
|
28 |
+
"temperature": 1.0,
|
29 |
+
"presence_penalty": 0.0,
|
30 |
+
"frequency_penalty": 0.0,
|
31 |
+
"repetition_penalty": 1.1,
|
32 |
+
"top_p": 0.8,
|
33 |
+
"tokenizer_files": [
|
34 |
+
"tokenizer.json",
|
35 |
+
"vocab.json",
|
36 |
+
"merges.txt",
|
37 |
+
"tokenizer_config.json"
|
38 |
+
],
|
39 |
+
"tokenizer_info": {
|
40 |
+
"token_postproc_method": "byte_level",
|
41 |
+
"prepend_space_in_encode": false,
|
42 |
+
"strip_space_in_decode": false
|
43 |
+
},
|
44 |
+
"conv_template": {
|
45 |
+
"name": "chatml",
|
46 |
+
"system_template": "<|im_start|>system\n{system_message}",
|
47 |
+
"system_message": "A conversation between a user and an LLM-based AI assistant. The assistant gives helpful and honest answers.",
|
48 |
+
"system_prefix_token_ids": null,
|
49 |
+
"add_role_after_system_message": true,
|
50 |
+
"roles": {
|
51 |
+
"user": "<|im_start|>user",
|
52 |
+
"assistant": "<|im_start|>assistant"
|
53 |
+
},
|
54 |
+
"role_templates": {
|
55 |
+
"user": "{user_message}",
|
56 |
+
"assistant": "{assistant_message}",
|
57 |
+
"tool": "{tool_message}"
|
58 |
+
},
|
59 |
+
"messages": [],
|
60 |
+
"seps": [
|
61 |
+
"<|im_end|>\n"
|
62 |
+
],
|
63 |
+
"role_content_sep": "\n",
|
64 |
+
"role_empty_sep": "\n",
|
65 |
+
"stop_str": [
|
66 |
+
"<|im_end|>"
|
67 |
+
],
|
68 |
+
"stop_token_ids": [
|
69 |
+
2
|
70 |
+
],
|
71 |
+
"function_string": "",
|
72 |
+
"use_function_calling": false
|
73 |
+
},
|
74 |
+
"pad_token_id": 151643,
|
75 |
+
"bos_token_id": 151643,
|
76 |
+
"eos_token_id": [
|
77 |
+
151645,
|
78 |
+
151643
|
79 |
+
],
|
80 |
+
"mean_gen_len": 128,
|
81 |
+
"max_gen_len": 512,
|
82 |
+
"shift_fill_factor": 0.3
|
83 |
+
}
|
ndarray-cache.json
ADDED
@@ -0,0 +1,2025 @@
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