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RichardErkhov/
ToastyPigeon_-_SmolPlatypus-1.5B-Sorted-gguf

Name: ToastyPigeon_-_SmolPlatypus-1.5B-Sorted-gguf
Availability: InStock

endpoints_compatible

gguf

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Quantization made by Richard Erkhov.

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SmolPlatypus-1.5B-Sorted - GGUF

Model creator: https://huggingface.co/ToastyPigeon/
Original model: https://huggingface.co/ToastyPigeon/SmolPlatypus-1.5B-Sorted/

Name	Quant method	Size
SmolPlatypus-1.5B-Sorted.Q2_K.gguf	Q2_K	0.55GB
SmolPlatypus-1.5B-Sorted.IQ3_XS.gguf	IQ3_XS	0.61GB
SmolPlatypus-1.5B-Sorted.IQ3_S.gguf	IQ3_S	0.64GB
SmolPlatypus-1.5B-Sorted.Q3_K_S.gguf	Q3_K_S	0.64GB
SmolPlatypus-1.5B-Sorted.IQ3_M.gguf	IQ3_M	0.67GB
SmolPlatypus-1.5B-Sorted.Q3_K.gguf	Q3_K	0.71GB
SmolPlatypus-1.5B-Sorted.Q3_K_M.gguf	Q3_K_M	0.71GB
SmolPlatypus-1.5B-Sorted.Q3_K_L.gguf	Q3_K_L	0.77GB
SmolPlatypus-1.5B-Sorted.IQ4_XS.gguf	IQ4_XS	0.79GB
SmolPlatypus-1.5B-Sorted.Q4_0.gguf	Q4_0	0.82GB
SmolPlatypus-1.5B-Sorted.IQ4_NL.gguf	IQ4_NL	0.83GB
SmolPlatypus-1.5B-Sorted.Q4_K_S.gguf	Q4_K_S	0.83GB
SmolPlatypus-1.5B-Sorted.Q4_K.gguf	Q4_K	0.87GB
SmolPlatypus-1.5B-Sorted.Q4_K_M.gguf	Q4_K_M	0.87GB
SmolPlatypus-1.5B-Sorted.Q4_1.gguf	Q4_1	0.91GB
SmolPlatypus-1.5B-Sorted.Q5_0.gguf	Q5_0	1.0GB
SmolPlatypus-1.5B-Sorted.Q5_K_S.gguf	Q5_K_S	1.0GB
SmolPlatypus-1.5B-Sorted.Q5_K.gguf	Q5_K	1.02GB
SmolPlatypus-1.5B-Sorted.Q5_K_M.gguf	Q5_K_M	1.02GB
SmolPlatypus-1.5B-Sorted.Q5_1.gguf	Q5_1	1.08GB
SmolPlatypus-1.5B-Sorted.Q6_K.gguf	Q6_K	1.18GB
SmolPlatypus-1.5B-Sorted.Q8_0.gguf	Q8_0	1.53GB

Original model description:

base_model: [] tags:

mergekit
merge license: apache-2.0 datasets:
garage-bAInd/Open-Platypus

SmolPlatypus-1.5B-Sorted

This is a merge of pre-trained language models created using mergekit.

The ToastyPigeon/SmolLlama-1.5B-Sorted stack merge was trained on the Open-Platypus dataset using axolotl QLora for approximately 2 hours on 2x RTX 3060.

This is a proof-of-concept model and should not be used for anything.

Merge Details

Merge Method

This model was merged using the passthrough merge method.

Models Merged

The following models were included in the merge:

ToastyPigeon/SmolLlama-1.5B-Sorted + ToastyPigeon/SmolPlatypus-1.5B-Sorted-LoRA

Configuration

The following YAML configuration was used to produce this model:

yaml

models:
  - model: ToastyPigeon/SmolLlama-1.5B-Sorted+ToastyPigeon/SmolPlatypus-1.5B-Sorted-LoRA
merge_method: passthrough
dtype: float16

RichardErkhov/ToastyPigeon_-_SmolPlatypus-1.5B-Sorted-gguf