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RichardErkhov/
cookinai_-_DonutLM-v1-gguf

Name: cookinai_-_DonutLM-v1-gguf
Availability: InStock

endpoints_compatible

gguf

template

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Quantization made by Richard Erkhov.

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DonutLM-v1 - GGUF

Model creator: https://huggingface.co/cookinai/
Original model: https://huggingface.co/cookinai/DonutLM-v1/

Name	Quant method	Size
DonutLM-v1.Q2_K.gguf	Q2_K	2.53GB
DonutLM-v1.IQ3_XS.gguf	IQ3_XS	2.81GB
DonutLM-v1.IQ3_S.gguf	IQ3_S	2.96GB
DonutLM-v1.Q3_K_S.gguf	Q3_K_S	2.95GB
DonutLM-v1.IQ3_M.gguf	IQ3_M	3.06GB
DonutLM-v1.Q3_K.gguf	Q3_K	3.28GB
DonutLM-v1.Q3_K_M.gguf	Q3_K_M	3.28GB
DonutLM-v1.Q3_K_L.gguf	Q3_K_L	3.56GB
DonutLM-v1.IQ4_XS.gguf	IQ4_XS	3.67GB
DonutLM-v1.Q4_0.gguf	Q4_0	3.83GB
DonutLM-v1.IQ4_NL.gguf	IQ4_NL	3.87GB
DonutLM-v1.Q4_K_S.gguf	Q4_K_S	3.86GB
DonutLM-v1.Q4_K.gguf	Q4_K	4.07GB
DonutLM-v1.Q4_K_M.gguf	Q4_K_M	4.07GB
DonutLM-v1.Q4_1.gguf	Q4_1	4.24GB
DonutLM-v1.Q5_0.gguf	Q5_0	4.65GB
DonutLM-v1.Q5_K_S.gguf	Q5_K_S	4.65GB
DonutLM-v1.Q5_K.gguf	Q5_K	4.78GB
DonutLM-v1.Q5_K_M.gguf	Q5_K_M	4.78GB
DonutLM-v1.Q5_1.gguf	Q5_1	5.07GB
DonutLM-v1.Q6_K.gguf	Q6_K	5.53GB
DonutLM-v1.Q8_0.gguf	Q8_0	7.17GB

Original model description:

license: apache-2.0 tags:

merge

Fixed

Heard alot in the commuity about jondurbin/bagel-dpo-7b-v0.1 and it sounds intresting.

Slerp Merge of AIDC-ai-business/Marcoroni-7B-v3 and jondurbin/bagel-dpo-7b-v0.1

.yaml file for mergekit

.yaml:

slices:
  - sources:
      - model: AIDC-ai-business/Marcoroni-7B-v3
        layer_range: [0, 32]
      - model: jondurbin/bagel-dpo-7b-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 # fallback for rest of tensors
dtype: bfloat16

RichardErkhov/cookinai_-_DonutLM-v1-gguf

Original model description:

Fixed

RichardErkhov/
cookinai_-_DonutLM-v1-gguf