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RichardErkhov/
ssktora_-_biomistral_e57b_merge_tydien-gguf

Name: ssktora_-_biomistral_e57b_merge_tydien-gguf
Availability: InStock

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Quantization made by Richard Erkhov.

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biomistral_e57b_merge_tydien - GGUF

Model creator: https://huggingface.co/ssktora/
Original model: https://huggingface.co/ssktora/biomistral_e57b_merge_tydien/

Name	Quant method	Size
biomistral_e57b_merge_tydien.Q2_K.gguf	Q2_K	2.53GB
biomistral_e57b_merge_tydien.IQ3_XS.gguf	IQ3_XS	2.81GB
biomistral_e57b_merge_tydien.IQ3_S.gguf	IQ3_S	2.96GB
biomistral_e57b_merge_tydien.Q3_K_S.gguf	Q3_K_S	2.95GB
biomistral_e57b_merge_tydien.IQ3_M.gguf	IQ3_M	3.06GB
biomistral_e57b_merge_tydien.Q3_K.gguf	Q3_K	3.28GB
biomistral_e57b_merge_tydien.Q3_K_M.gguf	Q3_K_M	3.28GB
biomistral_e57b_merge_tydien.Q3_K_L.gguf	Q3_K_L	3.56GB
biomistral_e57b_merge_tydien.IQ4_XS.gguf	IQ4_XS	3.67GB
biomistral_e57b_merge_tydien.Q4_0.gguf	Q4_0	3.83GB
biomistral_e57b_merge_tydien.IQ4_NL.gguf	IQ4_NL	3.87GB
biomistral_e57b_merge_tydien.Q4_K_S.gguf	Q4_K_S	3.86GB
biomistral_e57b_merge_tydien.Q4_K.gguf	Q4_K	4.07GB
biomistral_e57b_merge_tydien.Q4_K_M.gguf	Q4_K_M	4.07GB
biomistral_e57b_merge_tydien.Q4_1.gguf	Q4_1	4.24GB
biomistral_e57b_merge_tydien.Q5_0.gguf	Q5_0	4.65GB
biomistral_e57b_merge_tydien.Q5_K_S.gguf	Q5_K_S	4.65GB
biomistral_e57b_merge_tydien.Q5_K.gguf	Q5_K	4.78GB
biomistral_e57b_merge_tydien.Q5_K_M.gguf	Q5_K_M	4.78GB
biomistral_e57b_merge_tydien.Q5_1.gguf	Q5_1	5.07GB
biomistral_e57b_merge_tydien.Q6_K.gguf	Q6_K	5.53GB
biomistral_e57b_merge_tydien.Q8_0.gguf	Q8_0	7.17GB

Original model description:

base_model: [] library_name: transformers tags:

mergekit
merge

final_merge_biomistral_e57b_tydien

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_biomistral_e57b_tydien/input_models/e5-mistral-7b-instruct_2385958088 as a base.

Models Merged

The following models were included in the merge:

./evol_merge_storage_biomistral_e57b_tydien/input_models/BioMistral-7B_3601864449

Configuration

The following YAML configuration was used to produce this model:

yaml

base_model: ./evol_merge_storage_biomistral_e57b_tydien/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_biomistral_e57b_tydien/input_models/e5-mistral-7b-instruct_2385958088
    parameters:
      density: 0.8367579275276175
      weight: 0.4706008624766047
  - layer_range: [0, 4]
    model: ./evol_merge_storage_biomistral_e57b_tydien/input_models/BioMistral-7B_3601864449
    parameters:
      density: 0.6199244761272209
      weight: 0.49607199958757875
- sources:
  - layer_range: [4, 8]
    model: ./evol_merge_storage_biomistral_e57b_tydien/input_models/e5-mistral-7b-instruct_2385958088
    parameters:
      density: 0.6844013361793727
      weight: 0.35766754240777654
  - layer_range: [4, 8]
    model: ./evol_merge_storage_biomistral_e57b_tydien/input_models/BioMistral-7B_3601864449
    parameters:
      density: 0.8139831864708157
      weight: 0.5914251642547961
- sources:
  - layer_range: [8, 12]
    model: ./evol_merge_storage_biomistral_e57b_tydien/input_models/e5-mistral-7b-instruct_2385958088
    parameters:
      density: 1.0
      weight: 0.8624665482114445
  - layer_range: [8, 12]
    model: ./evol_merge_storage_biomistral_e57b_tydien/input_models/BioMistral-7B_3601864449
    parameters:
      density: 0.9653265129666598
      weight: 0.3766720607532875
- sources:
  - layer_range: [12, 16]
    model: ./evol_merge_storage_biomistral_e57b_tydien/input_models/e5-mistral-7b-instruct_2385958088
    parameters:
      density: 1.0
      weight: 0.07115038977000693
  - layer_range: [12, 16]
    model: ./evol_merge_storage_biomistral_e57b_tydien/input_models/BioMistral-7B_3601864449
    parameters:
      density: 1.0
      weight: 0.5584722470438896
- sources:
  - layer_range: [16, 20]
    model: ./evol_merge_storage_biomistral_e57b_tydien/input_models/e5-mistral-7b-instruct_2385958088
    parameters:
      density: 0.8512047827855883
      weight: 0.452376407390558
  - layer_range: [16, 20]
    model: ./evol_merge_storage_biomistral_e57b_tydien/input_models/BioMistral-7B_3601864449
    parameters:
      density: 0.8031611968588412
      weight: 0.7515473420070091
- sources:
  - layer_range: [20, 24]
    model: ./evol_merge_storage_biomistral_e57b_tydien/input_models/e5-mistral-7b-instruct_2385958088
    parameters:
      density: 0.976603252481838
      weight: 0.3562637891615101
  - layer_range: [20, 24]
    model: ./evol_merge_storage_biomistral_e57b_tydien/input_models/BioMistral-7B_3601864449
    parameters:
      density: 0.6844571720911157
      weight: 0.2577079998117604
- sources:
  - layer_range: [24, 28]
    model: ./evol_merge_storage_biomistral_e57b_tydien/input_models/e5-mistral-7b-instruct_2385958088
    parameters:
      density: 0.5572225974858718
      weight: 0.6323397851669135
  - layer_range: [24, 28]
    model: ./evol_merge_storage_biomistral_e57b_tydien/input_models/BioMistral-7B_3601864449
    parameters:
      density: 0.7949919158615303
      weight: 0.7932895770478385
- sources:
  - layer_range: [28, 32]
    model: ./evol_merge_storage_biomistral_e57b_tydien/input_models/e5-mistral-7b-instruct_2385958088
    parameters:
      density: 1.0
      weight: 0.6731678672160955
  - layer_range: [28, 32]
    model: ./evol_merge_storage_biomistral_e57b_tydien/input_models/BioMistral-7B_3601864449
    parameters:
      density: 1.0
      weight: 0.24914084912052575

RichardErkhov/ssktora_-_biomistral_e57b_merge_tydien-gguf