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Model: gvadhul/byte-llama-2layer Source: Original Platform
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---
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library_name: transformers
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tags: []
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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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<!-- Provide a longer summary of what this model is. -->
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- **Developed by:** [More Information Needed]
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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### Direct Use
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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[More Information Needed]
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### Downstream Use [optional]
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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[More Information Needed]
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### Out-of-Scope Use
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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[More Information Needed]
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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[More Information Needed]
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### Recommendations
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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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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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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[More Information Needed]
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### Training Procedure
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the 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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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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[More Information Needed]
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## Evaluation
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<!-- This section describes the evaluation protocols and provides the results. -->
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### Testing Data, Factors & Metrics
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#### Testing Data
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<!-- This should link to a Dataset Card if possible. -->
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[More Information Needed]
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#### Factors
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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[More Information Needed]
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#### Metrics
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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[More Information Needed]
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### Results
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[More Information Needed]
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#### Summary
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## Model Examination [optional]
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<!-- Relevant interpretability work for the model goes here -->
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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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- **Cloud Provider:** [More Information Needed]
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- **Compute Region:** [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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[More Information Needed]
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#### Software
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[More Information Needed]
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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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[More Information Needed]
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## Glossary [optional]
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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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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[More Information Needed]
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## Model Card Contact
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[More Information Needed]
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config.json
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{
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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": 2,
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"dtype": "float32",
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"eos_token_id": 3,
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"head_dim": 64,
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"hidden_act": "silu",
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"hidden_size": 256,
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"initializer_range": 0.02,
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"intermediate_size": 1024,
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"max_position_embeddings": 2048,
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"mlp_bias": false,
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"model_type": "llama",
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"num_attention_heads": 4,
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"num_hidden_layers": 2,
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"num_key_value_heads": 4,
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"pad_token_id": 0,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-06,
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"rope_parameters": {
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"rope_theta": 10000.0,
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"rope_type": "default"
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},
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"tie_word_embeddings": false,
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"transformers_version": "5.12.1",
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"use_cache": true,
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"vocab_size": 256
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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": 2,
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"eos_token_id": 3,
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"output_attentions": false,
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"output_hidden_states": false,
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"pad_token_id": 0,
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"transformers_version": "5.12.1",
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"use_cache": true
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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:eadb941712bfa968cd1fd81ca78789a728e3096680342d14e035bd93350d1814
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size 8920232
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tokenizer.json
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{
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"version": "1.0",
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"truncation": null,
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"padding": null,
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"added_tokens": [],
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"normalizer": null,
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"pre_tokenizer": {
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"type": "ByteLevel",
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"add_prefix_space": false,
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"trim_offsets": true,
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"use_regex": false
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},
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"post_processor": {
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"type": "TemplateProcessing",
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"single": [
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{
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"Sequence": {
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"id": "A",
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"type_id": 0
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}
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],
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"pair": [
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{
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"Sequence": {
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"id": "A",
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"type_id": 0
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}
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},
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{
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"Sequence": {
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"id": "B",
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"type_id": 1
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}
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}
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],
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"special_tokens": {}
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},
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"decoder": {
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"type": "ByteLevel",
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"add_prefix_space": true,
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"trim_offsets": true,
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"use_regex": true
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},
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"model": {
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"type": "BPE",
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"fuse_unk": false,
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"byte_fallback": false,
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"ignore_merges": false,
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"vocab": {
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||||||
|
"J": 74,
|
||||||
|
"K": 75,
|
||||||
|
"L": 76,
|
||||||
|
"M": 77,
|
||||||
|
"N": 78,
|
||||||
|
"O": 79,
|
||||||
|
"P": 80,
|
||||||
|
"Q": 81,
|
||||||
|
"R": 82,
|
||||||
|
"S": 83,
|
||||||
|
"T": 84,
|
||||||
|
"U": 85,
|
||||||
|
"V": 86,
|
||||||
|
"W": 87,
|
||||||
|
"X": 88,
|
||||||
|
"Y": 89,
|
||||||
|
"Z": 90,
|
||||||
|
"[": 91,
|
||||||
|
"\\": 92,
|
||||||
|
"]": 93,
|
||||||
|
"^": 94,
|
||||||
|
"_": 95,
|
||||||
|
"`": 96,
|
||||||
|
"a": 97,
|
||||||
|
"b": 98,
|
||||||
|
"c": 99,
|
||||||
|
"d": 100,
|
||||||
|
"e": 101,
|
||||||
|
"f": 102,
|
||||||
|
"g": 103,
|
||||||
|
"h": 104,
|
||||||
|
"i": 105,
|
||||||
|
"j": 106,
|
||||||
|
"k": 107,
|
||||||
|
"l": 108,
|
||||||
|
"m": 109,
|
||||||
|
"n": 110,
|
||||||
|
"o": 111,
|
||||||
|
"p": 112,
|
||||||
|
"q": 113,
|
||||||
|
"r": 114,
|
||||||
|
"s": 115,
|
||||||
|
"t": 116,
|
||||||
|
"u": 117,
|
||||||
|
"v": 118,
|
||||||
|
"w": 119,
|
||||||
|
"x": 120,
|
||||||
|
"y": 121,
|
||||||
|
"z": 122,
|
||||||
|
"{": 123,
|
||||||
|
"|": 124,
|
||||||
|
"}": 125,
|
||||||
|
"~": 126,
|
||||||
|
"ġ": 127,
|
||||||
|
"Ģ": 128,
|
||||||
|
"ģ": 129,
|
||||||
|
"Ĥ": 130,
|
||||||
|
"ĥ": 131,
|
||||||
|
"Ħ": 132,
|
||||||
|
"ħ": 133,
|
||||||
|
"Ĩ": 134,
|
||||||
|
"ĩ": 135,
|
||||||
|
"Ī": 136,
|
||||||
|
"ī": 137,
|
||||||
|
"Ĭ": 138,
|
||||||
|
"ĭ": 139,
|
||||||
|
"Į": 140,
|
||||||
|
"į": 141,
|
||||||
|
"İ": 142,
|
||||||
|
"ı": 143,
|
||||||
|
"IJ": 144,
|
||||||
|
"ij": 145,
|
||||||
|
"Ĵ": 146,
|
||||||
|
"ĵ": 147,
|
||||||
|
"Ķ": 148,
|
||||||
|
"ķ": 149,
|
||||||
|
"ĸ": 150,
|
||||||
|
"Ĺ": 151,
|
||||||
|
"ĺ": 152,
|
||||||
|
"Ļ": 153,
|
||||||
|
"ļ": 154,
|
||||||
|
"Ľ": 155,
|
||||||
|
"ľ": 156,
|
||||||
|
"Ŀ": 157,
|
||||||
|
"ŀ": 158,
|
||||||
|
"Ł": 159,
|
||||||
|
"ł": 160,
|
||||||
|
"¡": 161,
|
||||||
|
"¢": 162,
|
||||||
|
"£": 163,
|
||||||
|
"¤": 164,
|
||||||
|
"¥": 165,
|
||||||
|
"¦": 166,
|
||||||
|
"§": 167,
|
||||||
|
"¨": 168,
|
||||||
|
"©": 169,
|
||||||
|
"ª": 170,
|
||||||
|
"«": 171,
|
||||||
|
"¬": 172,
|
||||||
|
"Ń": 173,
|
||||||
|
"®": 174,
|
||||||
|
"¯": 175,
|
||||||
|
"°": 176,
|
||||||
|
"±": 177,
|
||||||
|
"²": 178,
|
||||||
|
"³": 179,
|
||||||
|
"´": 180,
|
||||||
|
"µ": 181,
|
||||||
|
"¶": 182,
|
||||||
|
"·": 183,
|
||||||
|
"¸": 184,
|
||||||
|
"¹": 185,
|
||||||
|
"º": 186,
|
||||||
|
"»": 187,
|
||||||
|
"¼": 188,
|
||||||
|
"½": 189,
|
||||||
|
"¾": 190,
|
||||||
|
"¿": 191,
|
||||||
|
"À": 192,
|
||||||
|
"Á": 193,
|
||||||
|
"Â": 194,
|
||||||
|
"Ã": 195,
|
||||||
|
"Ä": 196,
|
||||||
|
"Å": 197,
|
||||||
|
"Æ": 198,
|
||||||
|
"Ç": 199,
|
||||||
|
"È": 200,
|
||||||
|
"É": 201,
|
||||||
|
"Ê": 202,
|
||||||
|
"Ë": 203,
|
||||||
|
"Ì": 204,
|
||||||
|
"Í": 205,
|
||||||
|
"Î": 206,
|
||||||
|
"Ï": 207,
|
||||||
|
"Ð": 208,
|
||||||
|
"Ñ": 209,
|
||||||
|
"Ò": 210,
|
||||||
|
"Ó": 211,
|
||||||
|
"Ô": 212,
|
||||||
|
"Õ": 213,
|
||||||
|
"Ö": 214,
|
||||||
|
"×": 215,
|
||||||
|
"Ø": 216,
|
||||||
|
"Ù": 217,
|
||||||
|
"Ú": 218,
|
||||||
|
"Û": 219,
|
||||||
|
"Ü": 220,
|
||||||
|
"Ý": 221,
|
||||||
|
"Þ": 222,
|
||||||
|
"ß": 223,
|
||||||
|
"à": 224,
|
||||||
|
"á": 225,
|
||||||
|
"â": 226,
|
||||||
|
"ã": 227,
|
||||||
|
"ä": 228,
|
||||||
|
"å": 229,
|
||||||
|
"æ": 230,
|
||||||
|
"ç": 231,
|
||||||
|
"è": 232,
|
||||||
|
"é": 233,
|
||||||
|
"ê": 234,
|
||||||
|
"ë": 235,
|
||||||
|
"ì": 236,
|
||||||
|
"í": 237,
|
||||||
|
"î": 238,
|
||||||
|
"ï": 239,
|
||||||
|
"ð": 240,
|
||||||
|
"ñ": 241,
|
||||||
|
"ò": 242,
|
||||||
|
"ó": 243,
|
||||||
|
"ô": 244,
|
||||||
|
"õ": 245,
|
||||||
|
"ö": 246,
|
||||||
|
"÷": 247,
|
||||||
|
"ø": 248,
|
||||||
|
"ù": 249,
|
||||||
|
"ú": 250,
|
||||||
|
"û": 251,
|
||||||
|
"ü": 252,
|
||||||
|
"ý": 253,
|
||||||
|
"þ": 254,
|
||||||
|
"ÿ": 255
|
||||||
|
},
|
||||||
|
"merges": []
|
||||||
|
}
|
||||||
|
}
|
||||||
10
tokenizer_config.json
Normal file
10
tokenizer_config.json
Normal file
@@ -0,0 +1,10 @@
|
|||||||
|
{
|
||||||
|
"backend": "tokenizers",
|
||||||
|
"model_input_names": [
|
||||||
|
"input_ids",
|
||||||
|
"attention_mask"
|
||||||
|
],
|
||||||
|
"model_max_length": 1000000000000000019884624838656,
|
||||||
|
"pad_token": "Ā",
|
||||||
|
"tokenizer_class": "TokenizersBackend"
|
||||||
|
}
|
||||||
Reference in New Issue
Block a user