allknowingroger_-_Jallabi-40B-gguf

RichardErkhov/allknowingroger_-_Jallabi-40B-gguf

allknowingroger_-_Jallabi-40B-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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452 GB

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Hugging Face

Repo makeup

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.gguf524 GB · 100%

At a glance

Access: Public
Created: Oct 20, 2024
Updated: Oct 21, 2024
SHA: c6ea0ca8

Model card

From the Hugging Face model README

Quantization made by Richard Erkhov.

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Jallabi-40B - GGUF

Model creator: https://huggingface.co/allknowingroger/
Original model: https://huggingface.co/allknowingroger/Jallabi-40B/

Name	Quant method	Size
Jallabi-40B.Q2_K.gguf	Q2_K	13.85GB
Jallabi-40B.IQ3_XS.gguf	IQ3_XS	15.37GB
Jallabi-40B.IQ3_S.gguf	IQ3_S	16.23GB
Jallabi-40B.Q3_K_S.gguf	Q3_K_S	16.17GB
Jallabi-40B.IQ3_M.gguf	IQ3_M	16.82GB
Jallabi-40B.Q3_K.gguf	Q3_K	18.02GB
Jallabi-40B.Q3_K_M.gguf	Q3_K_M	18.02GB
Jallabi-40B.Q3_K_L.gguf	Q3_K_L	19.62GB
Jallabi-40B.IQ4_XS.gguf	IQ4_XS	20.15GB
Jallabi-40B.Q4_0.gguf	Q4_0	21.05GB
Jallabi-40B.IQ4_NL.gguf	IQ4_NL	21.25GB
Jallabi-40B.Q4_K_S.gguf	Q4_K_S	21.19GB
Jallabi-40B.Q4_K.gguf	Q4_K	22.31GB
Jallabi-40B.Q4_K_M.gguf	Q4_K_M	22.31GB
Jallabi-40B.Q4_1.gguf	Q4_1	23.35GB
Jallabi-40B.Q5_0.gguf	Q5_0	25.65GB
Jallabi-40B.Q5_K_S.gguf	Q5_K_S	25.65GB
Jallabi-40B.Q5_K.gguf	Q5_K	26.3GB
Jallabi-40B.Q5_K_M.gguf	Q5_K_M	26.3GB
Jallabi-40B.Q5_1.gguf	Q5_1	27.95GB
Jallabi-40B.Q6_K.gguf	Q6_K	30.54GB
Jallabi-40B.Q8_0.gguf	Q8_0	39.55GB

Original model description:

base_model:

AbacusResearch/Jallabi-34B 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 passthrough merge method.

Models Merged

The following models were included in the merge:

AbacusResearch/Jallabi-34B

Configuration

The following YAML configuration was used to produce this model:

slices:
  - sources:
    - model: AbacusResearch/Jallabi-34B
      layer_range: [0, 39]
  - sources:
    - model: AbacusResearch/Jallabi-34B
      layer_range: [8, 39]
merge_method: passthrough

Additional thanks to @nicoboss for giving me access to his private supercomputer, enabling me to provide many more quants, at much higher speed, than I would otherwise be able to.

Created: Oct 20, 2024
Updated: Oct 21, 2024