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RichardErkhov/
osanseviero_-_mistral-instruct-frankenmerge-gguf

Name: osanseviero_-_mistral-instruct-frankenmerge-gguf
Availability: InStock

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Quantization made by Richard Erkhov.

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mistral-instruct-frankenmerge - GGUF

Model creator: https://huggingface.co/osanseviero/
Original model: https://huggingface.co/osanseviero/mistral-instruct-frankenmerge/

Name	Quant method	Size
mistral-instruct-frankenmerge.Q2_K.gguf	Q2_K	3.13GB
mistral-instruct-frankenmerge.IQ3_XS.gguf	IQ3_XS	3.48GB
mistral-instruct-frankenmerge.IQ3_S.gguf	IQ3_S	3.67GB
mistral-instruct-frankenmerge.Q3_K_S.gguf	Q3_K_S	3.65GB
mistral-instruct-frankenmerge.IQ3_M.gguf	IQ3_M	3.79GB
mistral-instruct-frankenmerge.Q3_K.gguf	Q3_K	4.05GB
mistral-instruct-frankenmerge.Q3_K_M.gguf	Q3_K_M	4.05GB
mistral-instruct-frankenmerge.Q3_K_L.gguf	Q3_K_L	4.41GB
mistral-instruct-frankenmerge.IQ4_XS.gguf	IQ4_XS	4.55GB
mistral-instruct-frankenmerge.Q4_0.gguf	Q4_0	4.74GB
mistral-instruct-frankenmerge.IQ4_NL.gguf	IQ4_NL	1.41GB
mistral-instruct-frankenmerge.Q4_K_S.gguf	Q4_K_S	4.78GB
mistral-instruct-frankenmerge.Q4_K.gguf	Q4_K	5.04GB
mistral-instruct-frankenmerge.Q4_K_M.gguf	Q4_K_M	5.04GB
mistral-instruct-frankenmerge.Q4_1.gguf	Q4_1	5.26GB
mistral-instruct-frankenmerge.Q5_0.gguf	Q5_0	5.77GB
mistral-instruct-frankenmerge.Q5_K_S.gguf	Q5_K_S	5.77GB
mistral-instruct-frankenmerge.Q5_K.gguf	Q5_K	5.93GB
mistral-instruct-frankenmerge.Q5_K_M.gguf	Q5_K_M	5.93GB
mistral-instruct-frankenmerge.Q5_1.gguf	Q5_1	6.29GB
mistral-instruct-frankenmerge.Q6_K.gguf	Q6_K	6.87GB
mistral-instruct-frankenmerge.Q8_0.gguf	Q8_0	8.89GB

Original model description:

base_model:

mistralai/Mistral-7B-Instruct-v0.2
mistralai/Mistral-7B-Instruct-v0.1 tags:
mergekit
merge license: apache-2.0

frankenmerge

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

Merge Details

Merge Method

This model was merged using the passthrough merge method.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

yaml

slices:
  - sources:
    - model: mistralai/Mistral-7B-Instruct-v0.2
      layer_range: [0, 32]
  - sources:
    - model: mistralai/Mistral-7B-Instruct-v0.1
      layer_range: [24, 32]
merge_method: passthrough
dtype: bfloat16

RichardErkhov/osanseviero_-_mistral-instruct-frankenmerge-gguf