Quantized using nncf 2.13.0
Browse files- README.md +8 -10
- config.json +4 -1
- generation_config.json +1 -1
- openvino_detokenizer.bin +0 -3
- openvino_detokenizer.xml +0 -97
- openvino_model.bin +2 -2
- openvino_model.xml +0 -0
- openvino_tokenizer.bin +0 -3
- openvino_tokenizer.xml +0 -231
- tokenizer.json +0 -0
- tokenizer_config.json +3 -2
README.md
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@@ -7,14 +7,12 @@ tags:
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This is an INT4 quantized version of the `mistralai/Mistral-7B-Instruct-v0.2` model. The Python packages used in creating this model are as follows:
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```
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-
openvino==2024.
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torch==2.3.0+cu121
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transformers==4.40.2
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```
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This quantized model is created using the following command:
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```
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@@ -25,5 +23,5 @@ For more details, run the following command from your Python environment: `optim
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INFO:nncf:Statistics of the bitwidth distribution:
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| Num bits (N) | % all parameters (layers) | % ratio-defining parameters (layers) |
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|----------------|-----------------------------|----------------------------------------|
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| 4 |
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This is an INT4 quantized version of the `mistralai/Mistral-7B-Instruct-v0.2` model. The Python packages used in creating this model are as follows:
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```
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+
openvino==2024.4.0
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+
optimum==1.23.3
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optimum-intel==1.20.1
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nncf==2.13.0
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torch==2.5.1
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transformers==4.46.1
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```
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This quantized model is created using the following command:
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```
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INFO:nncf:Statistics of the bitwidth distribution:
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| Num bits (N) | % all parameters (layers) | % ratio-defining parameters (layers) |
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|----------------|-----------------------------|----------------------------------------|
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+
| 8 | 4% (2 / 226) | 0% (0 / 224) |
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| 4 | 96% (224 / 226) | 100% (224 / 224) |
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config.json
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{
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"_name_or_path": "mistralai/Mistral-7B-Instruct-v0.2",
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"architectures": [
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"MistralForCausalLM"
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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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"rope_theta": 1000000.0,
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"sliding_window": null,
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"tie_word_embeddings": false,
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"
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"use_cache": true,
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"vocab_size": 32000
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}
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{
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"_attn_implementation_autoset": true,
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"_name_or_path": "mistralai/Mistral-7B-Instruct-v0.2",
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"architectures": [
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"MistralForCausalLM"
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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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"head_dim": 128,
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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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"rope_theta": 1000000.0,
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"sliding_window": null,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.46.1",
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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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"_from_model_config": true,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"transformers_version": "4.
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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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"transformers_version": "4.46.1"
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}
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openvino_detokenizer.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:8f1b4bef7353cedf755dc0e05111ab3a98cb80f5ae9fa31fcd41df5761614685
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size 493443
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openvino_detokenizer.xml
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<?xml version="1.0"?>
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<net name="detokenizer" version="11">
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<layers>
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<layer id="0" name="Parameter_309056" type="Parameter" version="opset1">
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<data shape="?,?" element_type="i64" />
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<output>
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<port id="0" precision="I64" names="Parameter_309056">
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<dim>-1</dim>
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<dim>-1</dim>
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</port>
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</output>
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</layer>
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<layer id="1" name="Constant_309036" type="Const" version="opset1">
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<data element_type="u8" shape="493443" offset="0" size="493443" />
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<output>
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<port id="0" precision="U8">
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<dim>493443</dim>
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</port>
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</output>
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</layer>
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<layer id="2" name="Convert_309066" type="Convert" version="opset1">
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<data destination_type="i32" />
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<input>
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<port id="0" precision="I64">
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<dim>-1</dim>
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<dim>-1</dim>
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</port>
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</input>
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<output>
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<port id="1" precision="I32">
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<dim>-1</dim>
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<dim>-1</dim>
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</port>
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</output>
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</layer>
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<layer id="3" name="SentencepieceDetokenizer_309057" type="SentencepieceDetokenizer" version="extension">
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<input>
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<port id="0" precision="U8">
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<dim>493443</dim>
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</port>
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<port id="1" precision="I32">
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<dim>-1</dim>
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<dim>-1</dim>
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</port>
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</input>
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<output>
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<port id="2" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="3" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="4" precision="U8">
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<dim>-1</dim>
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</port>
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</output>
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</layer>
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<layer id="4" name="StringTensorPack_309058" type="StringTensorPack" version="extension">
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<data mode="begins_ends" />
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<input>
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<port id="0" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="1" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="2" precision="U8">
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<dim>-1</dim>
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</port>
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</input>
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<output>
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<port id="3" precision="STRING" names="string_output">
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<dim>-1</dim>
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</port>
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</output>
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</layer>
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<layer id="5" name="Result_309059" type="Result" version="opset1">
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<input>
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<port id="0" precision="STRING">
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<dim>-1</dim>
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</port>
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</input>
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</layer>
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</layers>
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<edges>
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<edge from-layer="0" from-port="0" to-layer="2" to-port="0" />
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<edge from-layer="1" from-port="0" to-layer="3" to-port="0" />
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<edge from-layer="2" from-port="1" to-layer="3" to-port="1" />
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<edge from-layer="3" from-port="2" to-layer="4" to-port="0" />
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<edge from-layer="3" from-port="3" to-layer="4" to-port="1" />
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<edge from-layer="3" from-port="4" to-layer="4" to-port="2" />
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<edge from-layer="4" from-port="3" to-layer="5" to-port="0" />
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</edges>
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<rt_info>
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<eos_token_id value="2" />
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</rt_info>
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</net>
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openvino_model.bin
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| 1 |
version https://git-lfs.github.com/spec/v1
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oid sha256:
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-
size
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:d736c7cc65ba0058436bee9e93673888a85c6edef7ec04d591887bb88970711f
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+
size 3889377328
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openvino_model.xml
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The diff for this file is too large to render.
See raw diff
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openvino_tokenizer.bin
DELETED
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-
version https://git-lfs.github.com/spec/v1
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oid sha256:4671ca604486debb291edaea68a90715521f1188405b6bf396597e7a1b873117
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size 493451
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openvino_tokenizer.xml
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<?xml version="1.0"?>
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<net name="tokenizer" version="11">
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<layers>
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<layer id="0" name="string_input" type="Parameter" version="opset1">
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<data shape="?" element_type="string" />
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<output>
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<port id="0" precision="STRING" names="string_input">
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<dim>-1</dim>
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</port>
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</output>
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</layer>
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<layer id="1" name="Constant_309042" type="Const" version="opset1">
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<data element_type="i32" shape="" offset="0" size="4" />
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<output>
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<port id="0" precision="I32" />
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</output>
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</layer>
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<layer id="2" name="Constant_309036" type="Const" version="opset1">
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<data element_type="u8" shape="493443" offset="4" size="493443" />
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<output>
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<port id="0" precision="U8">
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<dim>493443</dim>
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</port>
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</output>
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</layer>
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<layer id="3" name="SentencepieceTokenizer_309038" type="SentencepieceTokenizer" version="extension">
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<data nbest_size="0" alpha="0" add_bos="true" add_eos="false" reverse="false" />
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<input>
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<port id="0" precision="U8">
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<dim>493443</dim>
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</port>
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<port id="1" precision="STRING">
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<dim>-1</dim>
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</port>
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</input>
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<output>
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<port id="2" precision="I64">
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<dim>-1</dim>
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<dim>2</dim>
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</port>
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<port id="3" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="4" precision="I64">
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<dim>2</dim>
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</port>
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</output>
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</layer>
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<layer id="4" name="Broadcast_309043" type="Broadcast" version="opset3">
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<data mode="numpy" />
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<input>
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<port id="0" precision="I32" />
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<port id="1" precision="I64">
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<dim>2</dim>
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</port>
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</input>
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<output>
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<port id="2" precision="I32">
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<dim>-1</dim>
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<dim>-1</dim>
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</port>
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</output>
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</layer>
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<layer id="5" name="Constant_309044" type="Const" version="opset1">
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<data element_type="i32" shape="" offset="493447" size="4" />
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<output>
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<port id="0" precision="I32" />
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</output>
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</layer>
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<layer id="6" name="ShapeOf_309045" type="ShapeOf" version="opset3">
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<data output_type="i64" />
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<input>
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<port id="0" precision="I32">
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<dim>-1</dim>
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</port>
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</input>
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<output>
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<port id="1" precision="I64">
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<dim>1</dim>
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</port>
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</output>
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</layer>
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<layer id="7" name="Broadcast_309046" type="Broadcast" version="opset3">
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<data mode="numpy" />
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<input>
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<port id="0" precision="I32" />
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<port id="1" precision="I64">
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<dim>1</dim>
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</port>
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</input>
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<output>
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<port id="2" precision="I32">
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<dim>-1</dim>
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</port>
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</output>
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</layer>
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<layer id="8" name="ScatterNDUpdate_309050" type="ScatterNDUpdate" version="opset4">
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<input>
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<port id="0" precision="I32">
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<dim>-1</dim>
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<dim>-1</dim>
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</port>
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<port id="1" precision="I64">
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<dim>-1</dim>
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<dim>2</dim>
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</port>
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<port id="2" precision="I32">
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<dim>-1</dim>
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</port>
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</input>
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<output>
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<port id="3" precision="I32">
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<dim>-1</dim>
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<dim>-1</dim>
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</port>
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</output>
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</layer>
|
| 118 |
-
<layer id="9" name="ScatterNDUpdate_309050" type="Convert" version="opset1">
|
| 119 |
-
<data destination_type="i64" />
|
| 120 |
-
<input>
|
| 121 |
-
<port id="0" precision="I32">
|
| 122 |
-
<dim>-1</dim>
|
| 123 |
-
<dim>-1</dim>
|
| 124 |
-
</port>
|
| 125 |
-
</input>
|
| 126 |
-
<output>
|
| 127 |
-
<port id="1" precision="I64" names="attention_mask">
|
| 128 |
-
<dim>-1</dim>
|
| 129 |
-
<dim>-1</dim>
|
| 130 |
-
</port>
|
| 131 |
-
</output>
|
| 132 |
-
</layer>
|
| 133 |
-
<layer id="11" name="Constant_309039" type="Const" version="opset1">
|
| 134 |
-
<data element_type="i32" shape="" offset="0" size="4" />
|
| 135 |
-
<output>
|
| 136 |
-
<port id="0" precision="I32" />
|
| 137 |
-
</output>
|
| 138 |
-
</layer>
|
| 139 |
-
<layer id="12" name="Broadcast_309040" type="Broadcast" version="opset3">
|
| 140 |
-
<data mode="numpy" />
|
| 141 |
-
<input>
|
| 142 |
-
<port id="0" precision="I32" />
|
| 143 |
-
<port id="1" precision="I64">
|
| 144 |
-
<dim>2</dim>
|
| 145 |
-
</port>
|
| 146 |
-
</input>
|
| 147 |
-
<output>
|
| 148 |
-
<port id="2" precision="I32">
|
| 149 |
-
<dim>-1</dim>
|
| 150 |
-
<dim>-1</dim>
|
| 151 |
-
</port>
|
| 152 |
-
</output>
|
| 153 |
-
</layer>
|
| 154 |
-
<layer id="13" name="ScatterNDUpdate_309041" type="ScatterNDUpdate" version="opset4">
|
| 155 |
-
<input>
|
| 156 |
-
<port id="0" precision="I32">
|
| 157 |
-
<dim>-1</dim>
|
| 158 |
-
<dim>-1</dim>
|
| 159 |
-
</port>
|
| 160 |
-
<port id="1" precision="I64">
|
| 161 |
-
<dim>-1</dim>
|
| 162 |
-
<dim>2</dim>
|
| 163 |
-
</port>
|
| 164 |
-
<port id="2" precision="I32">
|
| 165 |
-
<dim>-1</dim>
|
| 166 |
-
</port>
|
| 167 |
-
</input>
|
| 168 |
-
<output>
|
| 169 |
-
<port id="3" precision="I32">
|
| 170 |
-
<dim>-1</dim>
|
| 171 |
-
<dim>-1</dim>
|
| 172 |
-
</port>
|
| 173 |
-
</output>
|
| 174 |
-
</layer>
|
| 175 |
-
<layer id="14" name="ScatterNDUpdate_309041" type="Convert" version="opset1">
|
| 176 |
-
<data destination_type="i64" />
|
| 177 |
-
<input>
|
| 178 |
-
<port id="0" precision="I32">
|
| 179 |
-
<dim>-1</dim>
|
| 180 |
-
<dim>-1</dim>
|
| 181 |
-
</port>
|
| 182 |
-
</input>
|
| 183 |
-
<output>
|
| 184 |
-
<port id="1" precision="I64" names="input_ids">
|
| 185 |
-
<dim>-1</dim>
|
| 186 |
-
<dim>-1</dim>
|
| 187 |
-
</port>
|
| 188 |
-
</output>
|
| 189 |
-
</layer>
|
| 190 |
-
<layer id="15" name="Result_309051" type="Result" version="opset1">
|
| 191 |
-
<input>
|
| 192 |
-
<port id="0" precision="I64">
|
| 193 |
-
<dim>-1</dim>
|
| 194 |
-
<dim>-1</dim>
|
| 195 |
-
</port>
|
| 196 |
-
</input>
|
| 197 |
-
</layer>
|
| 198 |
-
<layer id="10" name="Result_309052" type="Result" version="opset1">
|
| 199 |
-
<input>
|
| 200 |
-
<port id="0" precision="I64">
|
| 201 |
-
<dim>-1</dim>
|
| 202 |
-
<dim>-1</dim>
|
| 203 |
-
</port>
|
| 204 |
-
</input>
|
| 205 |
-
</layer>
|
| 206 |
-
</layers>
|
| 207 |
-
<edges>
|
| 208 |
-
<edge from-layer="0" from-port="0" to-layer="3" to-port="1" />
|
| 209 |
-
<edge from-layer="1" from-port="0" to-layer="4" to-port="0" />
|
| 210 |
-
<edge from-layer="2" from-port="0" to-layer="3" to-port="0" />
|
| 211 |
-
<edge from-layer="3" from-port="4" to-layer="4" to-port="1" />
|
| 212 |
-
<edge from-layer="3" from-port="3" to-layer="6" to-port="0" />
|
| 213 |
-
<edge from-layer="3" from-port="2" to-layer="8" to-port="1" />
|
| 214 |
-
<edge from-layer="3" from-port="4" to-layer="12" to-port="1" />
|
| 215 |
-
<edge from-layer="3" from-port="2" to-layer="13" to-port="1" />
|
| 216 |
-
<edge from-layer="3" from-port="3" to-layer="13" to-port="2" />
|
| 217 |
-
<edge from-layer="4" from-port="2" to-layer="8" to-port="0" />
|
| 218 |
-
<edge from-layer="5" from-port="0" to-layer="7" to-port="0" />
|
| 219 |
-
<edge from-layer="6" from-port="1" to-layer="7" to-port="1" />
|
| 220 |
-
<edge from-layer="7" from-port="2" to-layer="8" to-port="2" />
|
| 221 |
-
<edge from-layer="8" from-port="3" to-layer="9" to-port="0" />
|
| 222 |
-
<edge from-layer="9" from-port="1" to-layer="10" to-port="0" />
|
| 223 |
-
<edge from-layer="11" from-port="0" to-layer="12" to-port="0" />
|
| 224 |
-
<edge from-layer="12" from-port="2" to-layer="13" to-port="0" />
|
| 225 |
-
<edge from-layer="13" from-port="3" to-layer="14" to-port="0" />
|
| 226 |
-
<edge from-layer="14" from-port="1" to-layer="15" to-port="0" />
|
| 227 |
-
</edges>
|
| 228 |
-
<rt_info>
|
| 229 |
-
<eos_token_id value="2" />
|
| 230 |
-
</rt_info>
|
| 231 |
-
</net>
|
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|
|
tokenizer.json
CHANGED
|
The diff for this file is too large to render.
See raw diff
|
|
|
tokenizer_config.json
CHANGED
|
@@ -1,6 +1,7 @@
|
|
| 1 |
{
|
| 2 |
"add_bos_token": true,
|
| 3 |
"add_eos_token": false,
|
|
|
|
| 4 |
"added_tokens_decoder": {
|
| 5 |
"0": {
|
| 6 |
"content": "<unk>",
|
|
@@ -29,10 +30,10 @@
|
|
| 29 |
},
|
| 30 |
"additional_special_tokens": [],
|
| 31 |
"bos_token": "<s>",
|
| 32 |
-
"chat_template": "{{
|
| 33 |
"clean_up_tokenization_spaces": false,
|
| 34 |
"eos_token": "</s>",
|
| 35 |
-
"legacy":
|
| 36 |
"model_max_length": 1000000000000000019884624838656,
|
| 37 |
"pad_token": null,
|
| 38 |
"sp_model_kwargs": {},
|
|
|
|
| 1 |
{
|
| 2 |
"add_bos_token": true,
|
| 3 |
"add_eos_token": false,
|
| 4 |
+
"add_prefix_space": null,
|
| 5 |
"added_tokens_decoder": {
|
| 6 |
"0": {
|
| 7 |
"content": "<unk>",
|
|
|
|
| 30 |
},
|
| 31 |
"additional_special_tokens": [],
|
| 32 |
"bos_token": "<s>",
|
| 33 |
+
"chat_template": "{%- if messages[0]['role'] == 'system' %}\n {%- set system_message = messages[0]['content'] %}\n {%- set loop_messages = messages[1:] %}\n{%- else %}\n {%- set loop_messages = messages %}\n{%- endif %}\n\n{{- bos_token }}\n{%- for message in loop_messages %}\n {%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}\n {{- raise_exception('After the optional system message, conversation roles must alternate user/assistant/user/assistant/...') }}\n {%- endif %}\n {%- if message['role'] == 'user' %}\n {%- if loop.first and system_message is defined %}\n {{- ' [INST] ' + system_message + '\\n\\n' + message['content'] + ' [/INST]' }}\n {%- else %}\n {{- ' [INST] ' + message['content'] + ' [/INST]' }}\n {%- endif %}\n {%- elif message['role'] == 'assistant' %}\n {{- ' ' + message['content'] + eos_token}}\n {%- else %}\n {{- raise_exception('Only user and assistant roles are supported, with the exception of an initial optional system message!') }}\n {%- endif %}\n{%- endfor %}\n",
|
| 34 |
"clean_up_tokenization_spaces": false,
|
| 35 |
"eos_token": "</s>",
|
| 36 |
+
"legacy": false,
|
| 37 |
"model_max_length": 1000000000000000019884624838656,
|
| 38 |
"pad_token": null,
|
| 39 |
"sp_model_kwargs": {},
|