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Browse files- README.md +49 -0
- config.json +29 -0
- generation_config.json +7 -0
- model.safetensors +3 -0
- special_tokens_map.json +23 -0
- tokenizer.model +3 -0
- tokenizer_config.json +42 -0
README.md
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# Block-AP (EfficientQAT w/o E2E-AP)
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[EfficientQAT](https://arxiv.org/abs/2407.11062) involves two consecutive training phases: Block-wise training of all parameters (Block-AP) and end-to-end training of quantization parameters (E2E-QP).
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In this repo, we provide the quantized checkpoints of Block-AP. Anyone can use them to reproduce our results or carry following research.
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## Performance
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| Model | Quantization | WikiText2 PPL | Avg. Accuracy | Model Size (GB) | Hub link|
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|-------|--------------|---------------|---------------|-----------------|----------|
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Llama-2-7B|fp16|5.47|64.86|13.2|-|
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Llama-2-7B|w4g128|5.56|64.07|3.7|[Link](https://huggingface.co/ChenMnZ/Llama-2-7b-BlockAd-w4g128)|
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Llama-2-7B|w3g128|5.89|63.96|3.1|[Link](https://huggingface.co/ChenMnZ/Llama-2-7b-BlockAP-w3g128)|
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Llama-2-7B|w2g64|7.65|59.54|2.3|[Link](https://huggingface.co/ChenMnZ/Llama-2-7b-BlockAP-w2g64)|
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Llama-2-7B|w2g128|7.94|58.72|2.2|[Link](https://huggingface.co/ChenMnZ/Llama-2-7b-BlockAP-w2g128)|
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Llama-2-13B|fp16|4.88|67.81|25.4|-|
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Llama-2-13B|w4g128|4.96|67.27|6.8|[Link](https://huggingface.co/ChenMnZ/Llama-2-13b-BlockAP-w4g128)|
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Llama-2-13B|w3g128|5.20|67.30|5.6|[Link](https://huggingface.co/ChenMnZ/Llama-2-13b-BlockAP-w3g128)|
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Llama-2-13B|w2g64|6.55|63.10|4.0|[Link](https://huggingface.co/ChenMnZ/Llama-2-13b-BlockAP-w2g64)|
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Llama-2-13B|w2g128|6.68|63.49|3.8|[Link](https://huggingface.co/ChenMnZ/Llama-2-13b-BlockAP-w2g128)|
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Llama-2-70B|fp16|3.32|72.41|131.6|-|
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Llama-2-70B|w4g128|3.41|72.54|35.8|[Link](https://huggingface.co/ChenMnZ/Llama-2-70b-BlockAP-w4g128)|
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Llama-2-70B|w3g128|3.65|71.88|29.1|[Link](https://huggingface.co/ChenMnZ/Llama-2-70b-BlockAP-w3g128)|
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Llama-2-70B|w2g64|4.96|69.44|20.1|[Link](https://huggingface.co/ChenMnZ/Llama-2-70b-BlockAP-w2g64)|
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Llama-2-70B|w2g128|5.26|68.73|18.9|[Link](https://huggingface.co/ChenMnZ/Llama-2-70b-BlockAP-w2g128)|
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Llama-3-8B|fp16|6.14|68.58|13.0|-|
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Llama-3-8B|w4g128|6.50|68.43|5.4|[Link](https://huggingface.co/ChenMnZ/Llama-3-8b-BlockAP-w4g128)|
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Llama-3-8B|w3g128|7.34|66.72|4.7|[Link](https://huggingface.co/ChenMnZ/Llama-3-8b-BlockAP-w3g128)|
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Llama-3-8B|w2g64|12.47|58.65|3.9|[Link](https://huggingface.co/ChenMnZ/Llama-3-8b-BlockAP-w2g64)|
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Llama-3-8B|w2g128|13.25|58.23|3.8|[Link](https://huggingface.co/ChenMnZ/Llama-3-8b-BlockAP-w2g128)|
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Llama-3-70B|fp16|2.85|75.33|137.8|-|
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Llama-3-70B|w4g128|3.18|74.50|38.9|[Link](https://huggingface.co/ChenMnZ/Llama-3-70b-BlockAP-w4g128)|
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Llama-3-70B|w3g128|4.88|71.90|32.2|[Link](https://huggingface.co/ChenMnZ/Llama-3-70b-BlockAP-w3g128)|
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Llama-3-70B|w2g64|13.75|66.70|23.2|[Link](https://huggingface.co/ChenMnZ/Llama-3-70b-BlockAP-w2g64)|
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Llama-3-70B|w2g128|16.79|65.06|22.0|[Link](https://huggingface.co/ChenMnZ/Llama-3-70b-BlockAP-w2g128)|
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Llama-3-8B-Instruct|fp16|8.29|68.43|13.0|-|
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Llama-3-8B-Instruct|w4g128|8.76|67.80|5.4|[Link](https://huggingface.co/ChenMnZ/Llama-3-8b-instruct-BlockAP-w4g128)|
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Llama-3-8B-Instruct|w3g128|9.83|66.54|4.7|[Link](https://huggingface.co/ChenMnZ/Llama-3-8b-instruct-BlockAP-w3g128)|
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Llama-3-8B-Instruct|w2g64|16.77|58.62|3.9|[Link](https://huggingface.co/ChenMnZ/Llama-3-8b-instruct-BlockAP-w2g64)|
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Llama-3-8B-Instruct|w2g128|18.02|57.19|3.8|[Link](https://huggingface.co/ChenMnZ/Llama-3-8b-instruct-BlockAP-w2g128)|
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Llama-3-70B-Instruct|fp16|5.33|73.78|137.8|-|
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Llama-3-70B-Instruct|w4g128|5.77|73.52|38.9|[Link](https://huggingface.co/ChenMnZ/Llama-3-70b-instruct-BlockAP-w4g128)|
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Llama-3-70B-Instruct|w3g128|7.25|69.80|32.2|[Link](https://huggingface.co/ChenMnZ/Llama-3-70b-instruct-BlockAP-w3g128)|
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Llama-3-70B-Instruct|w2g64|12.48|65.60|23.2|[Link](https://huggingface.co/ChenMnZ/Llama-3-70b-instruct-BlockAP-w2g64)|
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Llama-3-70B-Instruct|w2g128|13.48|61.75|22.0|[Link](https://huggingface.co/ChenMnZ/Llama-3-70b-instruct-BlockAP-w2g128)|
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## Usage
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Please refer [https://github.com/OpenGVLab/EfficientQAT](https://github.com/OpenGVLab/EfficientQAT) for details. These checkpoints can be used to [following E2E-AP](https://github.com/OpenGVLab/EfficientQAT?tab=readme-ov-file#training), as well as be [inferenced](https://github.com/OpenGVLab/EfficientQAT?tab=readme-ov-file#inference) directly.
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config.json
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{
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"_name_or_path": "/cpfs01/user/chenmengzhao/llama_quantization/llama2-hf/Llama-2-7b",
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 11008,
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"max_position_embeddings": 4096,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 32,
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"pad_token_id": 0,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"rope_theta": 10000.0,
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"tie_word_embeddings": false,
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"torch_dtype": "float16",
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"transformers_version": "4.40.0",
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"use_cache": true,
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"vocab_size": 32000
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"pad_token_id": 0,
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"transformers_version": "4.40.0"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:3a2ab24fa9e6b1435253f9b3e8c1002e5f67d38fc9769043288230b898ae1969
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size 2262320240
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special_tokens_map.json
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{
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"bos_token": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"unk_token": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
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size 499723
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tokenizer_config.json
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{
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"add_bos_token": true,
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"add_eos_token": false,
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"add_prefix_space": true,
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"added_tokens_decoder": {
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"0": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"1": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"2": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"bos_token": "<s>",
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"clean_up_tokenization_spaces": false,
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"eos_token": "</s>",
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"legacy": false,
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": null,
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"sp_model_kwargs": {},
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"spaces_between_special_tokens": false,
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"tokenizer_class": "LlamaTokenizer",
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"unk_token": "<unk>",
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"use_default_system_prompt": false
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}
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