shadowml_-_Marcoro14-7B-slerp-gguf

RichardErkhov/shadowml_-_Marcoro14-7B-slerp-gguf

shadowml_-_Marcoro14-7B-slerp-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.

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5% of all-time downloads

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965

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Repo size

82.2 GB

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Public

Hugging Face

Repo makeup

Click a slice to open those files.

.gguf95.2 GB · 100%

At a glance

Access: Public
Created: Jul 27, 2024
Updated: Jul 27, 2024
SHA: ec8006c1

Model card

From the Hugging Face model README

Quantization made by Richard Erkhov.

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Marcoro14-7B-slerp - GGUF

Model creator: https://huggingface.co/shadowml/
Original model: https://huggingface.co/shadowml/Marcoro14-7B-slerp/

Name	Quant method	Size
Marcoro14-7B-slerp.Q2_K.gguf	Q2_K	2.53GB
Marcoro14-7B-slerp.IQ3_XS.gguf	IQ3_XS	2.81GB
Marcoro14-7B-slerp.IQ3_S.gguf	IQ3_S	2.96GB
Marcoro14-7B-slerp.Q3_K_S.gguf	Q3_K_S	2.95GB
Marcoro14-7B-slerp.IQ3_M.gguf	IQ3_M	3.06GB
Marcoro14-7B-slerp.Q3_K.gguf	Q3_K	3.28GB
Marcoro14-7B-slerp.Q3_K_M.gguf	Q3_K_M	3.28GB
Marcoro14-7B-slerp.Q3_K_L.gguf	Q3_K_L	3.56GB
Marcoro14-7B-slerp.IQ4_XS.gguf	IQ4_XS	3.67GB
Marcoro14-7B-slerp.Q4_0.gguf	Q4_0	3.83GB
Marcoro14-7B-slerp.IQ4_NL.gguf	IQ4_NL	3.87GB
Marcoro14-7B-slerp.Q4_K_S.gguf	Q4_K_S	3.86GB
Marcoro14-7B-slerp.Q4_K.gguf	Q4_K	4.07GB
Marcoro14-7B-slerp.Q4_K_M.gguf	Q4_K_M	4.07GB
Marcoro14-7B-slerp.Q4_1.gguf	Q4_1	4.24GB
Marcoro14-7B-slerp.Q5_0.gguf	Q5_0	4.65GB
Marcoro14-7B-slerp.Q5_K_S.gguf	Q5_K_S	4.65GB
Marcoro14-7B-slerp.Q5_K.gguf	Q5_K	4.78GB
Marcoro14-7B-slerp.Q5_K_M.gguf	Q5_K_M	4.78GB
Marcoro14-7B-slerp.Q5_1.gguf	Q5_1	5.07GB
Marcoro14-7B-slerp.Q6_K.gguf	Q6_K	5.53GB
Marcoro14-7B-slerp.Q8_0.gguf	Q8_0	7.17GB

Original model description:

license: apache-2.0 tags:

merge
mergekit

Marcoro14-7B-slerp

This model is a merge of the following models made with mergekit:

AIDC-ai-business/Marcoroni-7B-v3

🧩 Configuration

slices:
  - sources:
      - model: AIDC-ai-business/Marcoroni-7B-v3
        layer_range: [0, 32]
      - model: EmbeddedLLM/Mistral-7B-Merge-14-v0.1
        layer_range: [0, 32]
merge_method: slerp
base_model: AIDC-ai-business/Marcoroni-7B-v3
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

Created: Jul 27, 2024
Updated: Jul 27, 2024