Upload 12 files
Browse files- LICENSE +115 -0
- README.md +197 -1
- added_tokens.json +6 -0
- config.json +31 -0
- generation_config.json +7 -0
- merges.txt +0 -0
- model_quantized.onnx +3 -0
- ort_config.json +33 -0
- special_tokens_map.json +36 -0
- tokenizer.json +0 -0
- tokenizer_config.json +69 -0
- vocab.json +0 -0
LICENSE
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LIVEKIT MODEL LICENSE AGREEMENT
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Last Updated: November 25, 2024
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README.md
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---
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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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added_tokens.json
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{
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"<|assistant|>": 50268,
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"<|im_end|>": 50266,
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"<|im_start|>": 50265,
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"<|user|>": 50267
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}
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config.json
ADDED
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{
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"_attn_implementation_autoset": true,
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"_name_or_path": "/tmp/tmpgd41_aot",
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"_remove_final_layer_norm": false,
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"activation_dropout": 0.0,
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"activation_function": "relu",
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"architectures": [
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"OPTForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 2,
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"do_layer_norm_before": true,
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"dropout": 0.1,
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"enable_bias": true,
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"eos_token_id": 2,
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"ffn_dim": 3072,
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"hidden_size": 768,
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"init_std": 0.02,
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"layer_norm_elementwise_affine": true,
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"layerdrop": 0.0,
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"max_position_embeddings": 2048,
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"model_type": "opt",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 1,
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"prefix": "</s>",
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"transformers_version": "4.46.3",
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"use_cache": true,
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"vocab_size": 50269,
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"word_embed_proj_dim": 768
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}
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generation_config.json
ADDED
@@ -0,0 +1,7 @@
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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": 2,
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"pad_token_id": 1,
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"transformers_version": "4.46.3"
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}
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merges.txt
ADDED
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model_quantized.onnx
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:3d58bfb3708b5ac6840565259c0d6b500fab3424273d095c834ffeb7536fddd7
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size 126099906
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ort_config.json
ADDED
@@ -0,0 +1,33 @@
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{
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"one_external_file": true,
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"opset": null,
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"optimization": {},
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"quantization": {
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"activations_dtype": "QUInt8",
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"activations_symmetric": false,
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"format": "QOperator",
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"is_static": false,
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"mode": "IntegerOps",
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"nodes_to_exclude": [],
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"nodes_to_quantize": [],
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"operators_to_quantize": [
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"Conv",
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"MatMul",
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"Attention",
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"LSTM",
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"Gather",
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"Transpose",
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"EmbedLayerNormalization"
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],
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"per_channel": false,
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+
"qdq_add_pair_to_weight": false,
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+
"qdq_dedicated_pair": false,
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+
"qdq_op_type_per_channel_support_to_axis": {
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"MatMul": 1
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},
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"reduce_range": false,
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"weights_dtype": "QInt8",
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+
"weights_symmetric": true
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},
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"use_external_data_format": false
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+
}
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special_tokens_map.json
ADDED
@@ -0,0 +1,36 @@
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{
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"additional_special_tokens": [
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"<|im_start|>",
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"<|im_end|>",
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"<|user|>",
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"<|assistant|>"
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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": true,
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+
"rstrip": false,
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13 |
+
"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": true,
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+
"rstrip": false,
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+
"single_word": false
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},
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+
"pad_token": {
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+
"content": "<pad>",
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+
"lstrip": false,
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+
"normalized": true,
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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": "</s>",
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"lstrip": false,
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+
"normalized": true,
|
33 |
+
"rstrip": false,
|
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"single_word": false
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}
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}
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tokenizer.json
ADDED
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tokenizer_config.json
ADDED
@@ -0,0 +1,69 @@
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{
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"add_bos_token": true,
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3 |
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"add_prefix_space": false,
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4 |
+
"added_tokens_decoder": {
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+
"1": {
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"content": "<pad>",
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+
"lstrip": false,
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+
"normalized": true,
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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": true,
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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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"50265": {
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"content": "<|im_start|>",
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+
"lstrip": false,
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+
"normalized": false,
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25 |
+
"rstrip": false,
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+
"single_word": false,
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+
"special": true
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},
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"50266": {
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"content": "<|im_end|>",
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"lstrip": false,
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32 |
+
"normalized": false,
|
33 |
+
"rstrip": false,
|
34 |
+
"single_word": false,
|
35 |
+
"special": true
|
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},
|
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+
"50267": {
|
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+
"content": "<|user|>",
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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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+
"50268": {
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"content": "<|assistant|>",
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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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+
"additional_special_tokens": [
|
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+
"<|im_start|>",
|
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+
"<|im_end|>",
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+
"<|user|>",
|
58 |
+
"<|assistant|>"
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+
],
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+
"bos_token": "</s>",
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61 |
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"chat_template": "{% for message in messages %}{{'<|im_start|>' + '<|' + message['role'] + '|>' + message['content'] + '<|im_end|>'}}{% endfor %}",
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62 |
+
"clean_up_tokenization_spaces": false,
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63 |
+
"eos_token": "</s>",
|
64 |
+
"errors": "replace",
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65 |
+
"model_max_length": 1000000000000000019884624838656,
|
66 |
+
"pad_token": "<pad>",
|
67 |
+
"tokenizer_class": "GPT2Tokenizer",
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68 |
+
"unk_token": "</s>"
|
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+
}
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vocab.json
ADDED
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