GLM-Z1-9B-0414-heretic-GGUF

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Model Details

⚠️ Important Technical Note

This model is based on weights that have already been quantized to 4-bit during the optimization process (via heretic-llm). It was then converted to the GGUF format.

Source: 4-bit quantized weights.

Quality: The effective quality corresponds to that of a 4-bit model at most, even if the GGUF quantization (e.g., Q8_0 or fp16) suggests higher precision.

Model Description

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Uses

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Direct Use

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Out-of-Scope 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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Speeds, Sizes, Times [optional]

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Evaluation

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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

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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]

Model Architecture and Objective

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