Instructions to use mlc-ai/Qwen1.5-1.8B-Chat-q4f32_1-MLC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLC-LLM
How to use mlc-ai/Qwen1.5-1.8B-Chat-q4f32_1-MLC with MLC-LLM:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Initial commit
Browse files- logs.txt +339 -0
- merges.txt +0 -0
- mlc-chat-config.json +83 -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_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
ADDED
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/opt/conda/envs/py310/bin/python -m mlc_llm gen_config /models/Qwen1.5-1.8B-Chat --quantization q4f32_1 --conv-template chatml --output /models/mlc-delivery/hf/mlc-ai/Qwen1.5-1.8B-Chat-q4f32_1-MLC
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/opt/conda/envs/py310/bin/python -m mlc_llm convert_weight /models/Qwen1.5-1.8B-Chat --quantization q4f32_1 --output /models/mlc-delivery/hf/mlc-ai/Qwen1.5-1.8B-Chat-q4f32_1-MLC
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[2024-06-04 03:32:54] INFO auto_weight.py:107: Using source weight configuration: [1m/models/Qwen1.5-1.8B-Chat/model.safetensors.index.json[0m. Use `--source` to override.
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[2024-06-04 03:32:54] INFO auto_config.py:154: [92mFound[0m model type: [1mqwen2[0m. Use `--model-type` to override.
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[2024-06-04 03:32:54] 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 03:32:54] 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/Qwen1.5-1.8B-Chat/config.json
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[1m--quantization[0m GroupQuantize(name='q4f32_1', kind='group-quant', group_size=32, quantize_dtype='int4', storage_dtype='uint32', model_dtype='float32', linear_weight_layout='NK', quantize_embedding=True, quantize_final_fc=True, num_elem_per_storage=8, num_storage_per_group=4, max_int_value=7)
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[1m--output[0m /models/mlc-delivery/hf/mlc-ai/Qwen1.5-1.8B-Chat-q4f32_1-MLC
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Start storing to cache /models/mlc-delivery/hf/mlc-ai/Qwen1.5-1.8B-Chat-q4f32_1-MLC
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[2024-06-04 03:33:09] INFO huggingface_loader.py:197: Unloading HF weight file: /models/Qwen1.5-1.8B-Chat/model.safetensors
|
| 911 |
+
[2024-06-04 03:33:09] INFO stats.py:77: [92mTime usage[0m: HF loading: 4.409 sec; Pre-quantization mapping: 3.044 sec; Quantization: 2.600 sec
|
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[2024-06-04 03:33:09] INFO stats.py:91: [92mRAM usage[0m: Peak RAM: 6.843 GB. Total bytes loaded from disk: 6.843 GB
|
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[2024-06-04 03:33:10] INFO convert_weight.py:155: [92mParameter size[0m after quantization: 1.070 GB
|
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[2024-06-04 03:33:10] INFO convert_weight.py:160: [92mTotal parameters[0m: 1,836,828,672
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[2024-06-04 03:33:10] INFO convert_weight.py:161: [92mBits per parameter[0m: 5.004
|
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[2024-06-04 03:33:10] INFO convert_weight.py:166: Saved to directory: [1m/models/mlc-delivery/hf/mlc-ai/Qwen1.5-1.8B-Chat-q4f32_1-MLC[0m
|
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| 918 |
+
All finished, 28 total shards committed, record saved to /models/mlc-delivery/hf/mlc-ai/Qwen1.5-1.8B-Chat-q4f32_1-MLC/ndarray-cache.json
|
| 919 |
+
Also saved a bf16 record to /models/mlc-delivery/hf/mlc-ai/Qwen1.5-1.8B-Chat-q4f32_1-MLC/ndarray-cache-b16.json
|
merges.txt
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|
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|
|
mlc-chat-config.json
ADDED
|
@@ -0,0 +1,83 @@
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|
|
|
|
| 1 |
+
{
|
| 2 |
+
"version": "0.1.0",
|
| 3 |
+
"model_type": "qwen2",
|
| 4 |
+
"quantization": "q4f32_1",
|
| 5 |
+
"model_config": {
|
| 6 |
+
"hidden_act": "silu",
|
| 7 |
+
"hidden_size": 2048,
|
| 8 |
+
"intermediate_size": 5504,
|
| 9 |
+
"num_attention_heads": 16,
|
| 10 |
+
"num_hidden_layers": 24,
|
| 11 |
+
"num_key_value_heads": 16,
|
| 12 |
+
"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": 128,
|
| 19 |
+
"dtype": "float32",
|
| 20 |
+
"max_batch_size": 80
|
| 21 |
+
},
|
| 22 |
+
"vocab_size": 151936,
|
| 23 |
+
"context_window_size": 32768,
|
| 24 |
+
"sliding_window_size": -1,
|
| 25 |
+
"prefill_chunk_size": 2048,
|
| 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-b16.json
ADDED
|
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|
ndarray-cache.json
ADDED
|
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params_shard_0.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
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|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:78fb7ab6739a2bf438efcf73a801e69f87922a243d649051db825733721e3f27
|
| 3 |
+
size 155582464
|
params_shard_1.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
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|
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tokenizer.json
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tokenizer_config.json
ADDED
|
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| 2 |
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| 4 |
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| 5 |
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| 11 |
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"151645": {
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| 26 |
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"special": true
|
| 27 |
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}
|
| 28 |
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},
|
| 29 |
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"additional_special_tokens": ["<|im_start|>", "<|im_end|>"],
|
| 30 |
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"bos_token": null,
|
| 31 |
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"chat_template": "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n' }}{% endif %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
|
| 32 |
+
"clean_up_tokenization_spaces": false,
|
| 33 |
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"eos_token": "<|im_end|>",
|
| 34 |
+
"errors": "replace",
|
| 35 |
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"model_max_length": 32768,
|
| 36 |
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"pad_token": "<|endoftext|>",
|
| 37 |
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"split_special_tokens": false,
|
| 38 |
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"tokenizer_class": "Qwen2Tokenizer",
|
| 39 |
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"unk_token": null
|
| 40 |
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}
|
vocab.json
ADDED
|
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