jambroz_-_FNCARLplus-7b-gguf

RichardErkhov/jambroz_-_FNCARLplus-7b-gguf

jambroz_-_FNCARLplus-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.

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82.2 GB

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.gguf95.2 GB · 100%

At a glance

Access: Public
Created: Sep 17, 2024
Updated: Sep 18, 2024
SHA: a9ce06f0

Model card

From the Hugging Face model README

Quantization made by Richard Erkhov.

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FNCARLplus-7b - GGUF

Model creator: https://huggingface.co/jambroz/
Original model: https://huggingface.co/jambroz/FNCARLplus-7b/

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

Original model description:

base_model:

jambroz/FNCARL-7b
HuggingFaceH4/mistral-7b-anthropic
jambroz/sixtyoneeighty-7b
mlabonne/UltraMerge-7B library_name: transformers tags:
mergekit
merge license: apache-2.0

merge

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

Merge Details

Merge Method

This model was merged using the DARE TIES merge method using jambroz/sixtyoneeighty-7b as a base.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

base_model: jambroz/sixtyoneeighty-7b
dtype: bfloat16
merge_method: dare_ties
models:
- model: jambroz/sixtyoneeighty-7b
- model: mlabonne/UltraMerge-7B
  parameters:
    density: '0.53'
    weight: '0.4'
- model: HuggingFaceH4/mistral-7b-anthropic
  parameters:
    density: '0.53'
    weight: '0.3'
- model: jambroz/FNCARL-7b
  parameters:
    density: '0.53'
    weight: '0.3'
parameters:
  int8_mask: true

Created: Sep 17, 2024
Updated: Sep 18, 2024