Crystalcareai_-_Quiet-Mistral-gguf – AI Model by RichardErkhov | AlphaNeural AI

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Crystalcareai_-_Quiet-Mistral-gguf

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Quantization made by Richard Erkhov.

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Quiet-Mistral - GGUF

Model creator: https://huggingface.co/Crystalcareai/
Original model: https://huggingface.co/Crystalcareai/Quiet-Mistral/

Name	Quant method	Size
Quiet-Mistral.Q2_K.gguf	Q2_K	2.53GB
Quiet-Mistral.IQ3_XS.gguf	IQ3_XS	2.81GB
Quiet-Mistral.IQ3_S.gguf	IQ3_S	2.96GB
Quiet-Mistral.Q3_K_S.gguf	Q3_K_S	2.95GB
Quiet-Mistral.IQ3_M.gguf	IQ3_M	3.06GB
Quiet-Mistral.Q3_K.gguf	Q3_K	3.28GB
Quiet-Mistral.Q3_K_M.gguf	Q3_K_M	3.28GB
Quiet-Mistral.Q3_K_L.gguf	Q3_K_L	3.56GB
Quiet-Mistral.IQ4_XS.gguf	IQ4_XS	3.67GB
Quiet-Mistral.Q4_0.gguf	Q4_0	3.83GB
Quiet-Mistral.IQ4_NL.gguf	IQ4_NL	3.87GB
Quiet-Mistral.Q4_K_S.gguf	Q4_K_S	3.86GB
Quiet-Mistral.Q4_K.gguf	Q4_K	4.07GB
Quiet-Mistral.Q4_K_M.gguf	Q4_K_M	4.07GB
Quiet-Mistral.Q4_1.gguf	Q4_1	4.24GB
Quiet-Mistral.Q5_0.gguf	Q5_0	4.65GB
Quiet-Mistral.Q5_K_S.gguf	Q5_K_S	4.65GB
Quiet-Mistral.Q5_K.gguf	Q5_K	4.78GB
Quiet-Mistral.Q5_K_M.gguf	Q5_K_M	4.78GB
Quiet-Mistral.Q5_1.gguf	Q5_1	5.07GB
Quiet-Mistral.Q6_K.gguf	Q6_K	5.53GB

Original model description: ~~Mistral 7b v0.2 with attention_dropout=0.6, for training purposes~~

Conversion process:

Download original weights from https://models.mistralcdn.com/mistral-7b-v0-2/mistral-7B-v0.2.tar
Convert with https://github.com/huggingface/transformers/blob/main/src/transformers/models/mistral/convert_mistral_weights_to_hf.py
You may need to copy the tokenizer.model from Mistral-7B-Instruct-v0.2 repo.