Azazelle_-_Tippy-Toppy-7b-gguf

RichardErkhov/Azazelle_-_Tippy-Toppy-7b-gguf

Azazelle_-_Tippy-Toppy-7b-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

3% of all-time downloads

All-time downloads

299

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Repo size

82.2 GB

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Public

Hugging Face

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.gguf95.2 GB · 100%

At a glance

Access: Public
Created: Jun 19, 2024
Updated: Jun 19, 2024
SHA: bee53268

Model card

From the Hugging Face model README

Quantization made by Richard Erkhov.

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Tippy-Toppy-7b - GGUF

Model creator: https://huggingface.co/Azazelle/
Original model: https://huggingface.co/Azazelle/Tippy-Toppy-7b/

Name	Quant method	Size
Tippy-Toppy-7b.Q2_K.gguf	Q2_K	2.53GB
Tippy-Toppy-7b.IQ3_XS.gguf	IQ3_XS	2.81GB
Tippy-Toppy-7b.IQ3_S.gguf	IQ3_S	2.96GB
Tippy-Toppy-7b.Q3_K_S.gguf	Q3_K_S	2.95GB
Tippy-Toppy-7b.IQ3_M.gguf	IQ3_M	3.06GB
Tippy-Toppy-7b.Q3_K.gguf	Q3_K	3.28GB
Tippy-Toppy-7b.Q3_K_M.gguf	Q3_K_M	3.28GB
Tippy-Toppy-7b.Q3_K_L.gguf	Q3_K_L	3.56GB
Tippy-Toppy-7b.IQ4_XS.gguf	IQ4_XS	3.67GB
Tippy-Toppy-7b.Q4_0.gguf	Q4_0	3.83GB
Tippy-Toppy-7b.IQ4_NL.gguf	IQ4_NL	3.87GB
Tippy-Toppy-7b.Q4_K_S.gguf	Q4_K_S	3.86GB
Tippy-Toppy-7b.Q4_K.gguf	Q4_K	4.07GB
Tippy-Toppy-7b.Q4_K_M.gguf	Q4_K_M	4.07GB
Tippy-Toppy-7b.Q4_1.gguf	Q4_1	4.24GB
Tippy-Toppy-7b.Q5_0.gguf	Q5_0	4.65GB
Tippy-Toppy-7b.Q5_K_S.gguf	Q5_K_S	4.65GB
Tippy-Toppy-7b.Q5_K.gguf	Q5_K	4.78GB
Tippy-Toppy-7b.Q5_K_M.gguf	Q5_K_M	4.78GB
Tippy-Toppy-7b.Q5_1.gguf	Q5_1	5.07GB
Tippy-Toppy-7b.Q6_K.gguf	Q6_K	5.53GB
Tippy-Toppy-7b.Q8_0.gguf	Q8_0	7.17GB

Original model description:

pipeline_tag: text-generation tags:

mistral
merge license: cc-by-4.0

Model Card for Tippy-Toppy-7b

DARE merge intended to be build on Toppy-M-7b.

.yaml file for mergekit

models:
  - model: mistralai/Mistral-7B-v0.1
    # no parameters necessary for base model
  - model: Undi95/Toppy-M-7B #175
    parameters:
      weight: 0.54
      density: 0.81
  - model: PistachioAlt/Noromaid-Bagel-7B-Slerp #75
    parameters:
      weight: 0.23
      density: 0.61
  - model: OpenPipe/mistral-ft-optimized-1227 #100
    parameters:
      weight: 0.31
      density: 0.68
merge_method: dare_ties
base_model: mistralai/Mistral-7B-v0.1
parameters:
  int8_mask: true
dtype: bfloat16

Created: Jun 19, 2024
Updated: Jun 19, 2024