chargoddard_-_average-dolphin-8x7B-gguf

RichardErkhov/chargoddard_-_average-dolphin-8x7B-gguf

chargoddard_-_average-dolphin-8x7B-gguf is a machine learning model from RichardErkhov. Use it for the machine learning task on the model card, and read the license before you ship it in a product.

Downloads · 30 days

1.3K

11% of all-time downloads

All-time downloads

11.8K

Public

Repo size

530 GB

Likes

Public

Hugging Face

Repo makeup

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.gguf614 GB · 100%

At a glance

Access: Public
Created: Jul 13, 2024
Updated: Jul 15, 2024
SHA: 28c64c9d

Model card

From the Hugging Face model README

Quantization made by Richard Erkhov.

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average-dolphin-8x7B - GGUF

Model creator: https://huggingface.co/chargoddard/
Original model: https://huggingface.co/chargoddard/average-dolphin-8x7B/

Name	Quant method	Size
average-dolphin-8x7B.Q2_K.gguf	Q2_K	16.12GB
average-dolphin-8x7B.IQ3_XS.gguf	IQ3_XS	18.02GB
average-dolphin-8x7B.IQ3_S.gguf	IQ3_S	19.03GB
average-dolphin-8x7B.Q3_K_S.gguf	Q3_K_S	19.03GB
average-dolphin-8x7B.IQ3_M.gguf	IQ3_M	19.96GB
average-dolphin-8x7B.Q3_K.gguf	Q3_K	21.0GB
average-dolphin-8x7B.Q3_K_M.gguf	Q3_K_M	21.0GB
average-dolphin-8x7B.Q3_K_L.gguf	Q3_K_L	22.51GB
average-dolphin-8x7B.IQ4_XS.gguf	IQ4_XS	23.63GB
average-dolphin-8x7B.Q4_0.gguf	Q4_0	24.63GB
average-dolphin-8x7B.IQ4_NL.gguf	IQ4_NL	24.91GB
average-dolphin-8x7B.Q4_K_S.gguf	Q4_K_S	24.91GB
average-dolphin-8x7B.Q4_K.gguf	Q4_K	26.49GB
average-dolphin-8x7B.Q4_K_M.gguf	Q4_K_M	26.49GB
average-dolphin-8x7B.Q4_1.gguf	Q4_1	27.32GB
average-dolphin-8x7B.Q5_0.gguf	Q5_0	30.02GB
average-dolphin-8x7B.Q5_K_S.gguf	Q5_K_S	30.02GB
average-dolphin-8x7B.Q5_K.gguf	Q5_K	30.95GB
average-dolphin-8x7B.Q5_K_M.gguf	Q5_K_M	30.95GB
average-dolphin-8x7B.Q5_1.gguf	Q5_1	32.71GB
average-dolphin-8x7B.Q6_K.gguf	Q6_K	35.74GB
average-dolphin-8x7B.Q8_0.gguf	Q8_0	46.22GB

Original model description:

base_model:

cognitivecomputations/dolphin-2.7-mixtral-8x7b
cognitivecomputations/dolphin-2.5-mixtral-8x7b
cognitivecomputations/dolphin-2.6-mixtral-8x7b tags:
mergekit
merge license: apache-2.0

average-dolphin-8x7B

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

Merge Details

Merge Method

This model was merged using the linear merge method.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

merge_method: linear
dtype: bfloat16
models: # just your average dolphin
  - model: cognitivecomputations/dolphin-2.7-mixtral-8x7b
    parameters:
      weight: 0.5
  - model: cognitivecomputations/dolphin-2.6-mixtral-8x7b
    parameters:
      weight: 0.3
  - model: cognitivecomputations/dolphin-2.5-mixtral-8x7b
    parameters:
      weight: 0.2
parameters:
  normalize: true

Created: Jul 13, 2024
Updated: Jul 15, 2024