Locutusque / TinyMistral-248M-QuestionMaker

huggingface.co
Total runs: 3
24-hour runs: 0
7-day runs: 0
30-day runs: -1
Model's Last Updated: November 27 2023
text-generation

Introduction of TinyMistral-248M-QuestionMaker

Model Details of TinyMistral-248M-QuestionMaker

Uses

This model is intended to be used to create instruction-following datasets by predicting a question by passing an answer to it.

Out-of-Scope Use

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Bias, Risks, and Limitations

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Recommendations

Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.

Training Details
Training Data

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Training Procedure
Preprocessing [optional]

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Training Hyperparameters
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Speeds, Sizes, Times [optional]

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Evaluation
Testing Data, Factors & Metrics
Testing Data

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Factors

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Metrics

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Results

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Summary
Model Examination [optional]

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Environmental Impact

Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019) .

  • 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

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Compute Infrastructure

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Hardware

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Software

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Citation [optional]

BibTeX:

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APA:

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Glossary [optional]

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More Information [optional]

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Model Card Authors [optional]

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Model Card Contact

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Training procedure

The following bitsandbytes quantization config was used during training:

  • quant_method: QuantizationMethod.BITS_AND_BYTES
  • load_in_8bit: False
  • load_in_4bit: True
  • llm_int8_threshold: 6.0
  • llm_int8_skip_modules: None
  • llm_int8_enable_fp32_cpu_offload: False
  • llm_int8_has_fp16_weight: False
  • bnb_4bit_quant_type: nf4
  • bnb_4bit_use_double_quant: False
  • bnb_4bit_compute_dtype: float16
Framework versions
  • PEFT 0.6.2

Runs of Locutusque TinyMistral-248M-QuestionMaker on huggingface.co

3
Total runs
0
24-hour runs
0
3-day runs
0
7-day runs
-1
30-day runs

More Information About TinyMistral-248M-QuestionMaker huggingface.co Model

TinyMistral-248M-QuestionMaker huggingface.co

TinyMistral-248M-QuestionMaker huggingface.co is an AI model on huggingface.co that provides TinyMistral-248M-QuestionMaker's model effect (), which can be used instantly with this Locutusque TinyMistral-248M-QuestionMaker model. huggingface.co supports a free trial of the TinyMistral-248M-QuestionMaker model, and also provides paid use of the TinyMistral-248M-QuestionMaker. Support call TinyMistral-248M-QuestionMaker model through api, including Node.js, Python, http.

TinyMistral-248M-QuestionMaker huggingface.co Url

https://huggingface.co/Locutusque/TinyMistral-248M-QuestionMaker

Locutusque TinyMistral-248M-QuestionMaker online free

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Locutusque TinyMistral-248M-QuestionMaker online free url in huggingface.co:

https://huggingface.co/Locutusque/TinyMistral-248M-QuestionMaker

TinyMistral-248M-QuestionMaker install

TinyMistral-248M-QuestionMaker is an open source model from GitHub that offers a free installation service, and any user can find TinyMistral-248M-QuestionMaker on GitHub to install. At the same time, huggingface.co provides the effect of TinyMistral-248M-QuestionMaker install, users can directly use TinyMistral-248M-QuestionMaker installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

TinyMistral-248M-QuestionMaker install url in huggingface.co:

https://huggingface.co/Locutusque/TinyMistral-248M-QuestionMaker

Url of TinyMistral-248M-QuestionMaker

TinyMistral-248M-QuestionMaker huggingface.co Url

Provider of TinyMistral-248M-QuestionMaker huggingface.co

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