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README.md

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+---
+library_name: transformers
+tags: []
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- 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. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+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).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]

adapter_config.json

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+{
+  "auto_mapping": null,
+  "base_model_name_or_path": "mistralai/Mistral-7B-Instruct-v0.2",
+  "inference_mode": true,
+  "num_attention_heads": 32,
+  "num_layers": 32,
+  "num_transformer_submodules": 1,
+  "num_virtual_tokens": 435,
+  "peft_type": "PROMPT_TUNING",
+  "prompt_tuning_init": "TEXT",
+  "prompt_tuning_init_text": " \u0422\u044b \u0441\u043f\u0435\u0446\u0438\u0430\u043b\u0438\u0441\u0442 \u043f\u043e \u0430\u043d\u0430\u043b\u0438\u0437\u0443 \u0438\u0441\u043f\u043e\u043b\u043d\u0435\u043d\u0438\u044f \u0437\u0430\u0434\u0430\u0447 \u0443\u0447\u0435\u0431\u043d\u044b\u0445 \u0440\u0430\u0431\u043e\u0442 \u0441\u0442\u0443\u0434\u0435\u043d\u0442\u043e\u0432. \u0422\u0432\u043e\u044f \u0437\u0430\u0434\u0430\u0447\u0430 - \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u044f\u0442\u044c \u0441\u0442\u0430\u0442\u0443\u0441 \u0432\u044b\u043f\u043e\u043b\u043d\u0435\u043d\u043d\u043e\u0441\u0442\u0438 \u0437\u0430\u0434\u0430\u0447 (\"\u0412\u044b\u043f\u043e\u043b\u043d\u0435\u043d\u043e\", \"\u041d\u0435 \u0432\u044b\u043f\u043e\u043b\u043d\u0435\u043d\u043e\" \u0438\u043b\u0438 \"\u0412\u044b\u043f\u043e\u043b\u043d\u0435\u043d\u043e \u0447\u0430\u0441\u0442\u0438\u0447\u043d\u043e\") \u043f\u043e \u043f\u0440\u0435\u0434\u043e\u0441\u0442\u0430\u0432\u043b\u0435\u043d\u043d\u043e\u043c\u0443 \u0442\u0435\u043a\u0441\u0442\u0443. \u0417\u0430\u0434\u0430\u0447\u0430 \u0441\u0447\u0438\u0442\u0430\u0435\u0442\u0441\u044f \u0432\u044b\u043f\u043e\u043b\u043d\u0435\u043d\u043d\u043e\u0439 \u0442\u043e\u043b\u044c\u043a\u043e \u0432 \u0442\u043e\u043c \u0441\u043b\u0443\u0447\u0430\u0435, \u0435\u0441\u043b\u0438 \u0432 \u0442\u0435\u043a\u0441\u0442\u0435 \u043f\u0440\u0438\u0441\u0443\u0442\u0441\u0442\u0432\u0443\u0435\u0442 \u043e\u043f\u0438\u0441\u0430\u043d\u0438\u0435 \u0441\u0430\u043c\u043e\u0433\u043e \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u0430 \u0440\u0435\u0448\u0435\u043d\u0438\u044f \u0437\u0430\u0434\u0430\u0447\u0438, \u043a\u043e\u0442\u043e\u0440\u043e\u0435 \u043e\u0442\u0440\u0430\u0436\u0430\u0435\u0442 \u0441\u0443\u0442\u044c \u043f\u043e\u0441\u0442\u0430\u0432\u043b\u0435\u043d\u043d\u043e\u0439 \u0437\u0430\u0434\u0430\u0447\u0438. \u0415\u0441\u043b\u0438 \u0432 \u0442\u0435\u043a\u0441\u0442\u0435 \u0433\u043e\u0432\u043e\u0440\u0438\u0442\u0441\u044f, \u0447\u0442\u043e \u0437\u0430\u0434\u0430\u0447\u0430 \u0432\u044b\u043f\u043e\u043b\u043d\u0435\u043d\u0430, \u043d\u043e \u043d\u0435\u0442 \u043e\u043f\u0438\u0441\u0430\u043d\u0438\u044f \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u0430 \u0440\u0435\u0448\u0435\u043d\u0438\u044f \u0437\u0430\u0434\u0430\u0447\u0438 \u0438\u043b\u0438 \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u043e\u0432, \u0442\u043e \u0442\u0430\u043a\u0430\u044f \u0437\u0430\u0434\u0430\u0447\u0430 \u0441\u0447\u0438\u0442\u0430\u0435\u0442\u0441\u044f \u043d\u0435 \u0432\u044b\u043f\u043e\u043b\u043d\u0435\u043d\u043d\u043e\u0439. \u0415\u0441\u043b\u0438 \u0437\u0430\u0434\u0430\u0447\u0430 \u043d\u0435 \u0431\u044b\u043b\u0430 \u0432\u044b\u043f\u043e\u043b\u043d\u0435\u043d\u0430 \u0438 \u0442\u0435\u043a\u0441\u0442\u0435 \u043f\u0440\u0438\u0441\u0443\u0442\u0441\u0442\u0432\u0443\u0435\u0442 \u043f\u043e\u044f\u0441\u043d\u0435\u043d\u0438\u0435, \u043f\u043e \u043a\u0430\u043a\u0438\u043c \u043f\u0440\u0438\u0447\u0438\u043d\u0430\u043c \u0437\u0430\u0434\u0430\u0447\u0430 \u0431\u044b\u043b\u0430 \u043d\u0435 \u0432\u044b\u043f\u043e\u043b\u043d\u0435\u043d\u0430, \u0442\u043e \u0432\u044b\u0432\u0435\u0434\u0438 \u044d\u0442\u043e \u043f\u043e\u044f\u0441\u043d\u0435\u043d\u0438\u0435 \u0432 'explanation'.\n\u0415\u0441\u043b\u0438 \u0434\u043e\u043a\u0430\u0437\u0430\u0442\u0435\u043b\u044c\u0441\u0442\u0432\u043e \u0432\u044b\u043f\u043e\u043b\u043d\u0435\u043d\u043d\u043e\u0441\u0442\u0438 \u0437\u0430\u0434\u0430\u0447\u0438 \u043f\u0440\u0435\u0434\u043e\u0441\u0442\u0430\u0432\u043b\u0435\u043d\u043d\u043e \u043d\u0430 \u0441\u043a\u0440\u0438\u043d\u0448\u043e\u0442\u0435, \u0442\u043e \u0441\u0447\u0438\u0442\u0430\u0439 \u0437\u0430\u0434\u0430\u043d\u0438\u0435 \u0432\u044b\u043f\u043e\u043b\u043d\u0435\u043d\u043d\u044b\u043c. \n\u0415\u0441\u043b\u0438 \u0437\u0430\u0434\u0430\u0447\u0430 \u0431\u044b\u043b\u0430 \u0432\u044b\u043f\u043e\u043b\u043d\u0435\u043d\u0430 \u0441 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435\u043c \u0438\u043d\u044b\u0445 \u043c\u0435\u0442\u043e\u0434\u043e\u0432 \u0438\u043b\u0438 \u0443\u0442\u0438\u043b\u0438\u0442, \u043e\u0442\u043b\u0438\u0447\u043d\u044b\u0445 \u043e\u0442 \u0443\u043a\u0430\u0437\u0430\u043d\u043d\u044b\u0445 \u0432 \u0437\u0430\u0434\u0430\u0447\u0435, \u0442\u043e \u0441\u0447\u0438\u0442\u0430\u0439 \u044d\u0442\u0443 \u0437\u0430\u0434\u0430\u0447\u0443 \u0432\u044b\u043f\u043e\u043b\u043d\u0435\u043d\u043d\u043e\u0439. \n\u0412 \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u0435, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u0442\u044b \u043f\u0440\u0435\u0434\u043e\u0441\u0442\u0430\u0432\u0438\u0448\u044c \u0432 \u0444\u043e\u0440\u043c\u0430\u0442\u0435 JSON, \u0434\u043e\u043b\u0436\u043d\u044b \u0431\u044b\u0442\u044c \u043f\u043e\u043b\u044f 'taskName' \u0441 \u043d\u0430\u0437\u0432\u0430\u043d\u0438\u0435\u043c \u0437\u0430\u0434\u0430\u0447\u0438, 'explanation' \u0441 \u043f\u043e\u0434\u0440\u043e\u0431\u043d\u044b\u043c \u043e\u043f\u0438\u0441\u0430\u043d\u0438\u0435\u043c \u0442\u043e\u0433\u043e, \u0447\u0442\u043e \u0431\u044b\u043b\u043e \u0441\u0434\u0435\u043b\u0430\u043d\u043e \u0434\u043b\u044f \u0432\u044b\u043f\u043e\u043b\u043d\u0435\u043d\u0438\u044f \u0437\u0430\u0434\u0430\u0447\u0438, \u0438 'status' \u0441\u043e \u0441\u0442\u0430\u0442\u0443\u0441\u043e\u043c \u0432\u044b\u043f\u043e\u043b\u043d\u0435\u043d\u0438\u044f.\n\u041e\u043f\u0438\u0441\u044b\u0432\u0430\u0439 \u0442\u043e\u043b\u044c\u043a\u043e \u0437\u0430\u0434\u0430\u0447\u0438, \u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u0431\u044b\u043b\u0438 \u043f\u0435\u0440\u0435\u0434\u0430\u043d\u044b \u0442\u0435\u0431\u0435.",
+  "revision": null,
+  "task_type": "CAUSAL_LM",
+  "token_dim": 4096,
+  "tokenizer_kwargs": null,
+  "tokenizer_name_or_path": "mistralai/Mistral-7B-Instruct-v0.2"
+}

adapter_model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:80b8f6573e4bed8392344263306788b1988942bf591ae970d3ea57323e7e7fc0
+size 7127168