mistral-7b-llama-riding-camel

Model Card for Model ID

Llama riding Camel. Mistral-7B-Instruct-v0.1-GPTQ model trained using jokes from taivop/joke-dataset.

Model Details

Model Description

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• Developed by: Rajesh Baidya
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• Model type: Quantized
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Uses

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Direct Use

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Bias, Risks, and Limitations

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Recommendations

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Training Details

Training Data

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Training Procedure

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Preprocessing [optional]

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Training Hyperparameters

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Evaluation

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Testing Data, Factors & Metrics

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Results

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Summary

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Environmental Impact

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

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Technical Specifications [optional]

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Training procedure

The following bitsandbytes quantization config was used during training:

• quant_method: gptq
• bits: 8
• tokenizer: None
• dataset: None
• group_size: 128
• damp_percent: 0.1
• desc_act: True
• sym: True
• true_sequential: True
• use_cuda_fp16: False
• model_seqlen: None
• block_name_to_quantize: None
• module_name_preceding_first_block: None
• batch_size: 1
• pad_token_id: None
• use_exllama: True
• max_input_length: None
• exllama_config: {'version': <ExllamaVersion.ONE: 1>}
• cache_block_outputs: True

Framework versions

• PEFT 0.6.2