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TPM-28/Mistral-7B-Inst-v0.2-Alpaca-FR

Model

Mistral-7B-Inst-v0.2-Alpaca-FR is a French language model, trained using the QLORA (Quantization Learning for Learned Optimized Representation Access) approach on the TPM-28/alpaca-cleaned-fr dataset.

The alpaca-cleaned-fr dataset is a French translation of the English dataset pinzhenchen/alpaca-cleaned-fr, performed using the LibreTranslate translator.

Usage

To query the model, the request must be formatted according to the following template:

Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request.

### Instruction:
{System}

### Input:
{User}

### Response:
{Assistant}

The model will then generate an appropriate response to complete the request.

Limitations

  • The model may be biased by the original (translated) data used for training.
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Model size
7.24B params
Architecture
llama

8-bit

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Dataset used to train TPM-28/Mistral-7B-Inst-v0.2-Alpaca-FR