NeuralBeagle14-7B-GGUF/README.md

base_model, inference, license, model_creator, model_name, model_type, pipeline_tag, quantized_by, tags

base_model	inference	license	model_creator	model_name	model_type	pipeline_tag	quantized_by	tags
mlabonne/NeuralBeagle14-7B	false	apache-2.0	Maxime Labonne	NeuralBeagle14 7B	mistral	text-generation	Second State Inc.	merge mergekit lazymergekit fblgit/UNA-TheBeagle-7b-v1 argilla/distilabeled-Marcoro14-7B-slerp dpo rlhf

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NeuralBeagle14-7B-GGUF

Original Model

mlabonne/NeuralBeagle14-7B

Run with LlamaEdge

Note that the original model has an potential issue (see the discussion: Model follows ChatML format, but does not have the special tokens for ChatML).

Quantized GGUF Models

Name	Quant method	Bits	Size	Use case
NeuralBeagle14-7B-Q2_K.gguf	Q2_K	2	2.72 GB	smallest, significant quality loss - not recommended for most purposes
NeuralBeagle14-7B-Q3_K_L.gguf	Q3_K_L	3	3.82 GB	small, substantial quality loss
NeuralBeagle14-7B-Q3_K_M.gguf	Q3_K_M	3	3.52 GB	very small, high quality loss
NeuralBeagle14-7B-Q3_K_S.gguf	Q3_K_S	3	3.16 GB	very small, high quality loss
NeuralBeagle14-7B-Q4_0.ggufs	Q4_0	4	4.11 GB	legacy; small, very high quality loss - prefer using Q3_K_M
NeuralBeagle14-7B-Q4_K_M.gguf	Q4_K_M	4	4.37 GB	medium, balanced quality - recommended
NeuralBeagle14-7B-Q4_K_S.gguf	Q4_K_S	4	4.14 GB	small, greater quality loss
NeuralBeagle14-7B-Q5_0.gguf	Q5_0	5	5.00 GB	legacy; medium, balanced quality - prefer using Q4_K_M
NeuralBeagle14-7B-Q5_K_M.gguf	Q5_K_M	5	5.13 GB	large, very low quality loss - recommended
NeuralBeagle14-7B-Q5_K_S.gguf	Q5_K_S	5	5.00 GB	large, low quality loss - recommended
NeuralBeagle14-7B-Q6_K.gguf	Q6_K	6	5.94 GB	very large, extremely low quality loss
NeuralBeagle14-7B-Q8_0.gguf	Q8_0	8	7.70 GB	very large, extremely low quality loss - not recommended