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RichardErkhov/
ssktora_-_ja_e57b_merge_tydija-gguf

Name: ssktora_-_ja_e57b_merge_tydija-gguf
Availability: InStock

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Quantization made by Richard Erkhov.

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ja_e57b_merge_tydija - GGUF

Model creator: https://huggingface.co/ssktora/
Original model: https://huggingface.co/ssktora/ja_e57b_merge_tydija/

Name	Quant method	Size
ja_e57b_merge_tydija.Q2_K.gguf	Q2_K	2.53GB
ja_e57b_merge_tydija.IQ3_XS.gguf	IQ3_XS	2.81GB
ja_e57b_merge_tydija.IQ3_S.gguf	IQ3_S	2.96GB
ja_e57b_merge_tydija.Q3_K_S.gguf	Q3_K_S	2.95GB
ja_e57b_merge_tydija.IQ3_M.gguf	IQ3_M	3.06GB
ja_e57b_merge_tydija.Q3_K.gguf	Q3_K	3.28GB
ja_e57b_merge_tydija.Q3_K_M.gguf	Q3_K_M	3.28GB
ja_e57b_merge_tydija.Q3_K_L.gguf	Q3_K_L	3.56GB
ja_e57b_merge_tydija.IQ4_XS.gguf	IQ4_XS	3.67GB
ja_e57b_merge_tydija.Q4_0.gguf	Q4_0	3.83GB
ja_e57b_merge_tydija.IQ4_NL.gguf	IQ4_NL	3.87GB
ja_e57b_merge_tydija.Q4_K_S.gguf	Q4_K_S	3.86GB
ja_e57b_merge_tydija.Q4_K.gguf	Q4_K	4.07GB
ja_e57b_merge_tydija.Q4_K_M.gguf	Q4_K_M	4.07GB
ja_e57b_merge_tydija.Q4_1.gguf	Q4_1	4.24GB
ja_e57b_merge_tydija.Q5_0.gguf	Q5_0	4.65GB
ja_e57b_merge_tydija.Q5_K_S.gguf	Q5_K_S	4.65GB
ja_e57b_merge_tydija.Q5_K.gguf	Q5_K	4.78GB
ja_e57b_merge_tydija.Q5_K_M.gguf	Q5_K_M	4.78GB
ja_e57b_merge_tydija.Q5_1.gguf	Q5_1	5.07GB
ja_e57b_merge_tydija.Q6_K.gguf	Q6_K	5.53GB
ja_e57b_merge_tydija.Q8_0.gguf	Q8_0	7.17GB

Original model description:

base_model: [] library_name: transformers tags:

mergekit
merge

final_merge_ja_e57b_tydija

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 ./evol_merge_storage_ja_e57b_tydija/input_models/e5-mistral-7b-instruct_2385958088 as a base.

Models Merged

The following models were included in the merge:

./evol_merge_storage_ja_e57b_tydija/input_models/japanese-stablelm-base-gamma-7b_545310900

Configuration

The following YAML configuration was used to produce this model:

yaml

base_model: ./evol_merge_storage_ja_e57b_tydija/input_models/e5-mistral-7b-instruct_2385958088
dtype: bfloat16
merge_method: dare_ties
parameters:
  int8_mask: 1.0
  normalize: 1.0
slices:
- sources:
  - layer_range: [0, 4]
    model: ./evol_merge_storage_ja_e57b_tydija/input_models/e5-mistral-7b-instruct_2385958088
    parameters:
      density: 0.9567125290278002
      weight: 0.7329399429419414
  - layer_range: [0, 4]
    model: ./evol_merge_storage_ja_e57b_tydija/input_models/japanese-stablelm-base-gamma-7b_545310900
    parameters:
      density: 1.0
      weight: 0.6175016127199866
- sources:
  - layer_range: [4, 8]
    model: ./evol_merge_storage_ja_e57b_tydija/input_models/e5-mistral-7b-instruct_2385958088
    parameters:
      density: 0.7351530312710608
      weight: 0.9361918263111237
  - layer_range: [4, 8]
    model: ./evol_merge_storage_ja_e57b_tydija/input_models/japanese-stablelm-base-gamma-7b_545310900
    parameters:
      density: 1.0
      weight: 0.6261500333536962
- sources:
  - layer_range: [8, 12]
    model: ./evol_merge_storage_ja_e57b_tydija/input_models/e5-mistral-7b-instruct_2385958088
    parameters:
      density: 1.0
      weight: 0.38219531855733224
  - layer_range: [8, 12]
    model: ./evol_merge_storage_ja_e57b_tydija/input_models/japanese-stablelm-base-gamma-7b_545310900
    parameters:
      density: 0.9560023967707558
      weight: 0.4847363738604221
- sources:
  - layer_range: [12, 16]
    model: ./evol_merge_storage_ja_e57b_tydija/input_models/e5-mistral-7b-instruct_2385958088
    parameters:
      density: 1.0
      weight: 0.9760238855152437
  - layer_range: [12, 16]
    model: ./evol_merge_storage_ja_e57b_tydija/input_models/japanese-stablelm-base-gamma-7b_545310900
    parameters:
      density: 0.9962392996911643
      weight: 0.6535045223316338
- sources:
  - layer_range: [16, 20]
    model: ./evol_merge_storage_ja_e57b_tydija/input_models/e5-mistral-7b-instruct_2385958088
    parameters:
      density: 1.0
      weight: 0.32930274558082606
  - layer_range: [16, 20]
    model: ./evol_merge_storage_ja_e57b_tydija/input_models/japanese-stablelm-base-gamma-7b_545310900
    parameters:
      density: 0.9095162947498548
      weight: 0.7439598517576353
- sources:
  - layer_range: [20, 24]
    model: ./evol_merge_storage_ja_e57b_tydija/input_models/e5-mistral-7b-instruct_2385958088
    parameters:
      density: 0.756559714204041
      weight: 0.44719009636986334
  - layer_range: [20, 24]
    model: ./evol_merge_storage_ja_e57b_tydija/input_models/japanese-stablelm-base-gamma-7b_545310900
    parameters:
      density: 1.0
      weight: 0.348213220068222
- sources:
  - layer_range: [24, 28]
    model: ./evol_merge_storage_ja_e57b_tydija/input_models/e5-mistral-7b-instruct_2385958088
    parameters:
      density: 1.0
      weight: 0.5663144522369852
  - layer_range: [24, 28]
    model: ./evol_merge_storage_ja_e57b_tydija/input_models/japanese-stablelm-base-gamma-7b_545310900
    parameters:
      density: 1.0
      weight: 0.5221351804388025
- sources:
  - layer_range: [28, 32]
    model: ./evol_merge_storage_ja_e57b_tydija/input_models/e5-mistral-7b-instruct_2385958088
    parameters:
      density: 1.0
      weight: 0.3974171827818004
  - layer_range: [28, 32]
    model: ./evol_merge_storage_ja_e57b_tydija/input_models/japanese-stablelm-base-gamma-7b_545310900
    parameters:
      density: 0.9839795858964644
      weight: 0.2576111697863762

RichardErkhov/ssktora_-_ja_e57b_merge_tydija-gguf