New latent targetting
Browse files- .gitattributes +0 -36
- README.md +0 -202
- config.json +0 -38
- gemma-2-2b-it-wmdp-random_ablated/config.json +0 -36
- gemma-2-2b-it-wmdp-random_ablated/generation_config.json +0 -11
- gemma-2-2b-it-wmdp-random_ablated/model.safetensors.index.json +0 -295
- gemma-2-2b-it-wmdp-target_ablated/model.safetensors.index.json +0 -295
- generation_config.json +0 -12
- gitattributes.txt +0 -36
- model.safetensors.index.json +0 -296
- special_tokens_map.json +0 -34
- tokenizer.json +0 -3
- tokenizer.model +0 -3
- tokenizer_config.json +0 -2014
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README.md
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---
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base_model: unsloth/gemma-2-2b-it
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library_name: peft
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---
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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### Model Description
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- **Developed by:** [More Information Needed]
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### Model Sources [optional]
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## Uses
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[More Information Needed]
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### Downstream Use [optional]
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[More Information Needed]
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### Out-of-Scope Use
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[More Information Needed]
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## Bias, Risks, and Limitations
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[More Information Needed]
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### Recommendations
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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## How to Get Started with the Model
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Use the code below to get started with the model.
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[More Information Needed]
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## Training Details
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### Training Data
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[More Information Needed]
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### Training Procedure
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#### Preprocessing [optional]
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[More Information Needed]
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#### Training Hyperparameters
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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#### Speeds, Sizes, Times [optional]
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## Evaluation
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### Testing Data, Factors & Metrics
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#### Testing Data
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[More Information Needed]
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#### Factors
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[More Information Needed]
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#### Metrics
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### Results
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#### Summary
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## Model Examination [optional]
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[More Information Needed]
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## Environmental Impact
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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- **Hardware Type:** [More Information Needed]
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- **Hours used:** [More Information Needed]
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- **Carbon Emitted:** [More Information Needed]
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## Technical Specifications [optional]
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### Model Architecture and Objective
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[More Information Needed]
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### Compute Infrastructure
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[More Information Needed]
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#### Hardware
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#### Software
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## Citation [optional]
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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**BibTeX:**
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[More Information Needed]
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**APA:**
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## Glossary [optional]
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[More Information Needed]
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## More Information [optional]
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[More Information Needed]
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## Model Card Authors [optional]
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## Model Card Contact
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### Framework versions
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- PEFT 0.13.0
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config.json
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{
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"_name_or_path": "unsloth/gemma-2-2b-it",
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"architectures": [
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"Gemma2ForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"attn_logit_softcapping": 50.0,
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"bos_token_id": 2,
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"cache_implementation": "hybrid",
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"eos_token_id": [
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],
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"final_logit_softcapping": 30.0,
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"head_dim": 256,
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"hidden_act": "gelu_pytorch_tanh",
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"hidden_activation": "gelu_pytorch_tanh",
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"hidden_size": 2304,
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"initializer_range": 0.02,
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"intermediate_size": 9216,
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"max_position_embeddings": 8192,
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"model_type": "gemma2",
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"num_attention_heads": 8,
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"num_hidden_layers": 26,
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"num_key_value_heads": 4,
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"pad_token_id": 0,
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"query_pre_attn_scalar": 256,
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"rms_norm_eps": 1e-06,
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"rope_scaling": null,
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"rope_theta": 10000.0,
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"sliding_window": 4096,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.44.2",
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"unsloth_version": "2024.9.post4",
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"use_cache": true,
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"vocab_size": 256000
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}
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gemma-2-2b-it-wmdp-random_ablated/config.json
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"_name_or_path": "google/gemma-2-2b-it",
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"architectures": [
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"Gemma2ForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"attn_logit_softcapping": 50.0,
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"bos_token_id": 2,
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"cache_implementation": "hybrid",
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"eos_token_id": [
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1,
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],
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"final_logit_softcapping": 30.0,
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"head_dim": 256,
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"hidden_act": "gelu_pytorch_tanh",
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"hidden_activation": "gelu_pytorch_tanh",
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"hidden_size": 2304,
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"initializer_range": 0.02,
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"intermediate_size": 9216,
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"max_position_embeddings": 8192,
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"model_type": "gemma2",
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"num_attention_heads": 8,
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"num_hidden_layers": 26,
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"num_key_value_heads": 4,
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"pad_token_id": 0,
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"query_pre_attn_scalar": 256,
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"rms_norm_eps": 1e-06,
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"rope_theta": 10000.0,
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"sliding_window": 4096,
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"torch_dtype": "float32",
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"transformers_version": "4.44.2",
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"use_cache": true,
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"vocab_size": 256000
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}
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"content": "\t\t\t\t\t\t\t\t\t\t\t\t",
|
1831 |
-
"lstrip": false,
|
1832 |
-
"normalized": false,
|
1833 |
-
"rstrip": false,
|
1834 |
-
"single_word": false,
|
1835 |
-
"special": false
|
1836 |
-
},
|
1837 |
-
"255980": {
|
1838 |
-
"content": "\t\t\t\t\t\t\t\t\t\t\t\t\t",
|
1839 |
-
"lstrip": false,
|
1840 |
-
"normalized": false,
|
1841 |
-
"rstrip": false,
|
1842 |
-
"single_word": false,
|
1843 |
-
"special": false
|
1844 |
-
},
|
1845 |
-
"255981": {
|
1846 |
-
"content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
|
1847 |
-
"lstrip": false,
|
1848 |
-
"normalized": false,
|
1849 |
-
"rstrip": false,
|
1850 |
-
"single_word": false,
|
1851 |
-
"special": false
|
1852 |
-
},
|
1853 |
-
"255982": {
|
1854 |
-
"content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
|
1855 |
-
"lstrip": false,
|
1856 |
-
"normalized": false,
|
1857 |
-
"rstrip": false,
|
1858 |
-
"single_word": false,
|
1859 |
-
"special": false
|
1860 |
-
},
|
1861 |
-
"255983": {
|
1862 |
-
"content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
|
1863 |
-
"lstrip": false,
|
1864 |
-
"normalized": false,
|
1865 |
-
"rstrip": false,
|
1866 |
-
"single_word": false,
|
1867 |
-
"special": false
|
1868 |
-
},
|
1869 |
-
"255984": {
|
1870 |
-
"content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
|
1871 |
-
"lstrip": false,
|
1872 |
-
"normalized": false,
|
1873 |
-
"rstrip": false,
|
1874 |
-
"single_word": false,
|
1875 |
-
"special": false
|
1876 |
-
},
|
1877 |
-
"255985": {
|
1878 |
-
"content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
|
1879 |
-
"lstrip": false,
|
1880 |
-
"normalized": false,
|
1881 |
-
"rstrip": false,
|
1882 |
-
"single_word": false,
|
1883 |
-
"special": false
|
1884 |
-
},
|
1885 |
-
"255986": {
|
1886 |
-
"content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
|
1887 |
-
"lstrip": false,
|
1888 |
-
"normalized": false,
|
1889 |
-
"rstrip": false,
|
1890 |
-
"single_word": false,
|
1891 |
-
"special": false
|
1892 |
-
},
|
1893 |
-
"255987": {
|
1894 |
-
"content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
|
1895 |
-
"lstrip": false,
|
1896 |
-
"normalized": false,
|
1897 |
-
"rstrip": false,
|
1898 |
-
"single_word": false,
|
1899 |
-
"special": false
|
1900 |
-
},
|
1901 |
-
"255988": {
|
1902 |
-
"content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
|
1903 |
-
"lstrip": false,
|
1904 |
-
"normalized": false,
|
1905 |
-
"rstrip": false,
|
1906 |
-
"single_word": false,
|
1907 |
-
"special": false
|
1908 |
-
},
|
1909 |
-
"255989": {
|
1910 |
-
"content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
|
1911 |
-
"lstrip": false,
|
1912 |
-
"normalized": false,
|
1913 |
-
"rstrip": false,
|
1914 |
-
"single_word": false,
|
1915 |
-
"special": false
|
1916 |
-
},
|
1917 |
-
"255990": {
|
1918 |
-
"content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
|
1919 |
-
"lstrip": false,
|
1920 |
-
"normalized": false,
|
1921 |
-
"rstrip": false,
|
1922 |
-
"single_word": false,
|
1923 |
-
"special": false
|
1924 |
-
},
|
1925 |
-
"255991": {
|
1926 |
-
"content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
|
1927 |
-
"lstrip": false,
|
1928 |
-
"normalized": false,
|
1929 |
-
"rstrip": false,
|
1930 |
-
"single_word": false,
|
1931 |
-
"special": false
|
1932 |
-
},
|
1933 |
-
"255992": {
|
1934 |
-
"content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
|
1935 |
-
"lstrip": false,
|
1936 |
-
"normalized": false,
|
1937 |
-
"rstrip": false,
|
1938 |
-
"single_word": false,
|
1939 |
-
"special": false
|
1940 |
-
},
|
1941 |
-
"255993": {
|
1942 |
-
"content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
|
1943 |
-
"lstrip": false,
|
1944 |
-
"normalized": false,
|
1945 |
-
"rstrip": false,
|
1946 |
-
"single_word": false,
|
1947 |
-
"special": false
|
1948 |
-
},
|
1949 |
-
"255994": {
|
1950 |
-
"content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
|
1951 |
-
"lstrip": false,
|
1952 |
-
"normalized": false,
|
1953 |
-
"rstrip": false,
|
1954 |
-
"single_word": false,
|
1955 |
-
"special": false
|
1956 |
-
},
|
1957 |
-
"255995": {
|
1958 |
-
"content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
|
1959 |
-
"lstrip": false,
|
1960 |
-
"normalized": false,
|
1961 |
-
"rstrip": false,
|
1962 |
-
"single_word": false,
|
1963 |
-
"special": false
|
1964 |
-
},
|
1965 |
-
"255996": {
|
1966 |
-
"content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
|
1967 |
-
"lstrip": false,
|
1968 |
-
"normalized": false,
|
1969 |
-
"rstrip": false,
|
1970 |
-
"single_word": false,
|
1971 |
-
"special": false
|
1972 |
-
},
|
1973 |
-
"255997": {
|
1974 |
-
"content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
|
1975 |
-
"lstrip": false,
|
1976 |
-
"normalized": false,
|
1977 |
-
"rstrip": false,
|
1978 |
-
"single_word": false,
|
1979 |
-
"special": false
|
1980 |
-
},
|
1981 |
-
"255998": {
|
1982 |
-
"content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
|
1983 |
-
"lstrip": false,
|
1984 |
-
"normalized": false,
|
1985 |
-
"rstrip": false,
|
1986 |
-
"single_word": false,
|
1987 |
-
"special": false
|
1988 |
-
},
|
1989 |
-
"255999": {
|
1990 |
-
"content": "<unused99>",
|
1991 |
-
"lstrip": false,
|
1992 |
-
"normalized": false,
|
1993 |
-
"rstrip": false,
|
1994 |
-
"single_word": false,
|
1995 |
-
"special": false
|
1996 |
-
}
|
1997 |
-
},
|
1998 |
-
"additional_special_tokens": [
|
1999 |
-
"<start_of_turn>",
|
2000 |
-
"<end_of_turn>"
|
2001 |
-
],
|
2002 |
-
"bos_token": "<bos>",
|
2003 |
-
"chat_template": "{{ bos_token }}{% if messages[0]['role'] == 'system' %}{{ raise_exception('System role not supported') }}{% endif %}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if (message['role'] == 'assistant') %}{% set role = 'model' %}{% else %}{% set role = message['role'] %}{% endif %}{{ '<start_of_turn>' + role + '\n' + message['content'] | trim + '<end_of_turn>\n' }}{% endfor %}{% if add_generation_prompt %}{{'<start_of_turn>model\n'}}{% endif %}",
|
2004 |
-
"clean_up_tokenization_spaces": false,
|
2005 |
-
"eos_token": "<eos>",
|
2006 |
-
"model_max_length": 8192,
|
2007 |
-
"pad_token": "<pad>",
|
2008 |
-
"padding_side": "right",
|
2009 |
-
"sp_model_kwargs": {},
|
2010 |
-
"spaces_between_special_tokens": false,
|
2011 |
-
"tokenizer_class": "GemmaTokenizer",
|
2012 |
-
"unk_token": "<unk>",
|
2013 |
-
"use_default_system_prompt": false
|
2014 |
-
}
|
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