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RichardErkhov/
osanseviero_-_mistral-instruct-slerp-gguf

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

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Quantization made by Richard Erkhov.

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mistral-instruct-slerp - GGUF

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

Name	Quant method	Size
mistral-instruct-slerp.Q2_K.gguf	Q2_K	2.53GB
mistral-instruct-slerp.IQ3_XS.gguf	IQ3_XS	2.81GB
mistral-instruct-slerp.IQ3_S.gguf	IQ3_S	2.96GB
mistral-instruct-slerp.Q3_K_S.gguf	Q3_K_S	2.95GB
mistral-instruct-slerp.IQ3_M.gguf	IQ3_M	3.06GB
mistral-instruct-slerp.Q3_K.gguf	Q3_K	3.28GB
mistral-instruct-slerp.Q3_K_M.gguf	Q3_K_M	3.28GB
mistral-instruct-slerp.Q3_K_L.gguf	Q3_K_L	3.56GB
mistral-instruct-slerp.IQ4_XS.gguf	IQ4_XS	3.67GB
mistral-instruct-slerp.Q4_0.gguf	Q4_0	3.83GB
mistral-instruct-slerp.IQ4_NL.gguf	IQ4_NL	2.42GB
mistral-instruct-slerp.Q4_K_S.gguf	Q4_K_S	3.86GB
mistral-instruct-slerp.Q4_K.gguf	Q4_K	4.07GB
mistral-instruct-slerp.Q4_K_M.gguf	Q4_K_M	4.07GB
mistral-instruct-slerp.Q4_1.gguf	Q4_1	4.24GB
mistral-instruct-slerp.Q5_0.gguf	Q5_0	4.65GB
mistral-instruct-slerp.Q5_K_S.gguf	Q5_K_S	4.65GB
mistral-instruct-slerp.Q5_K.gguf	Q5_K	4.78GB
mistral-instruct-slerp.Q5_K_M.gguf	Q5_K_M	4.78GB
mistral-instruct-slerp.Q5_1.gguf	Q5_1	5.07GB
mistral-instruct-slerp.Q6_K.gguf	Q6_K	5.53GB
mistral-instruct-slerp.Q8_0.gguf	Q8_0	7.17GB

Original model description:

base_model:

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

slerp

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

Merge Details

Merge Method

This model was merged using the SLERP 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-v0.1
        layer_range: [0, 32]
      - model: mistralai/Mistral-7B-Instruct-v0.2
        layer_range: [0, 32]
merge_method: slerp
base_model: mistralai/Mistral-7B-Instruct-v0.2
parameters:
  t:
    - filter: self_attn
      value: [0, 0.5, 0.3, 0.7, 1]
    - filter: mlp
      value: [1, 0.5, 0.7, 0.3, 0]
    - value: 0.5
dtype: bfloat16

RichardErkhov/osanseviero_-_mistral-instruct-slerp-gguf