Hugging Face's logo

llmixer
/
BigWeave-v32-96b

Text Generation
Transformers
Safetensors
English
llama
Merge
frankenmerge
96b
conversational
text-generation-inference
Inference Endpoints
Model card Files Community

BigWeave v32 96b

The BigWeave models aim to experimentally identify merge settings for increasing model performance. The version number merely tracks various attempts and is not a quality indicator. Only results demonstrating good performance are retained and shared.

Prompting Format

llamav3

Merge process

This is a self-merge of meta-llama/Meta-Llama-3-70B-Instruct. Middle layers are duplicated and various matrices are scaled according to the template by jukofyork as shown here: https://github.com/arcee-ai/mergekit/issues/198#issuecomment-2079950009

Merge configuration:

const_tag: &MODEL meta-llama/Meta-Llama-3-70B-Instruct

const_tag: &RESIDUAL_SCALE_FACTOR 0.5
const_tag: &QK_ATTENUATION_FACTOR 0.7071067812
const_tag: &OUT_FACTOR 0.9

scale-filter-env: &scale_filter_env
  parameters:
    scale:
      - filter: o_proj
        value: *RESIDUAL_SCALE_FACTOR
      - filter: down_proj
        value: *RESIDUAL_SCALE_FACTOR
      - filter: q_proj
        value: *QK_ATTENUATION_FACTOR
      - filter: k_proj
        value: *QK_ATTENUATION_FACTOR
      - filter: v_proj
        value: *OUT_FACTOR
      - filter: up_proj
        value: *OUT_FACTOR
      - value: 1.0

slices:
  - sources:
    - model: *MODEL
      layer_range: [0, 25]

  - sources:
    - model: *MODEL
      layer_range: [25, 26]
      <<: *scale_filter_env
  - sources:
    - model: *MODEL
      layer_range: [25, 26]
      <<: *scale_filter_env
  - sources:
    - model: *MODEL
      layer_range: [26, 27]
      <<: *scale_filter_env
  - sources:
    - model: *MODEL
      layer_range: [26, 27]
      <<: *scale_filter_env
  - sources:
    - model: *MODEL
      layer_range: [27, 28]
      <<: *scale_filter_env
  - sources:
    - model: *MODEL
      layer_range: [27, 28]
      <<: *scale_filter_env
  - sources:
    - model: *MODEL
      layer_range: [28, 29]
      <<: *scale_filter_env
  - sources:
    - model: *MODEL
      layer_range: [28, 29]
      <<: *scale_filter_env
  - sources:
    - model: *MODEL
      layer_range: [29, 30]
      <<: *scale_filter_env
  - sources:
    - model: *MODEL
      layer_range: [29, 30]
      <<: *scale_filter_env
  - sources:
    - model: *MODEL
      layer_range: [30, 31]
      <<: *scale_filter_env
  - sources:
    - model: *MODEL
      layer_range: [30, 31]
      <<: *scale_filter_env
  - sources:
    - model: *MODEL
      layer_range: [31, 32]
      <<: *scale_filter_env
  - sources:
    - model: *MODEL
      layer_range: [31, 32]
      <<: *scale_filter_env
  - sources:
    - model: *MODEL
      layer_range: [32, 33]
      <<: *scale_filter_env
  - sources:
    - model: *MODEL
      layer_range: [32, 33]
      <<: *scale_filter_env
  - sources:
    - model: *MODEL
      layer_range: [33, 34]
      <<: *scale_filter_env
  - sources:
    - model: *MODEL
      layer_range: [33, 34]
      <<: *scale_filter_env
  - sources:
    - model: *MODEL
      layer_range: [34, 35]
      <<: *scale_filter_env
  - sources:
    - model: *MODEL
      layer_range: [34, 35]
      <<: *scale_filter_env
  - sources:
    - model: *MODEL
      layer_range: [35, 36]
      <<: *scale_filter_env
  - sources:
    - model: *MODEL
      layer_range: [35, 36]
      <<: *scale_filter_env
  - sources:
    - model: *MODEL
      layer_range: [36, 37]
      <<: *scale_filter_env
  - sources:
    - model: *MODEL
      layer_range: [36, 37]
      <<: *scale_filter_env
  - sources:
    - model: *MODEL
      layer_range: [37, 38]
      <<: *scale_filter_env
  - sources:
    - model: *MODEL
      layer_range: [37, 38]
      <<: *scale_filter_env
  - sources:
    - model: *MODEL
      layer_range: [38, 39]
      <<: *scale_filter_env
  - sources:
    - model: *MODEL
      layer_range: [38, 39]
      <<: *scale_filter_env
  - sources:
    - model: *MODEL
      layer_range: [39, 40]
      <<: *scale_filter_env
  - sources:
    - model: *MODEL
      layer_range: [39, 40]
      <<: *scale_filter_env
  - sources:
    - model: *MODEL
      layer_range: [40, 41]
      <<: *scale_filter_env
  - sources:
    - model: *MODEL
      layer_range: [40, 41]
      <<: *scale_filter_env
  - sources:
    - model: *MODEL
      layer_range: [41, 42]
      <<: *scale_filter_env
  - sources:
    - model: *MODEL
      layer_range: [41, 42]
      <<: *scale_filter_env
  - sources:
    - model: *MODEL
      layer_range: [42, 43]
      <<: *scale_filter_env
  - sources:
    - model: *MODEL
      layer_range: [42, 43]
      <<: *scale_filter_env
  - sources:
    - model: *MODEL
      layer_range: [43, 44]
      <<: *scale_filter_env
  - sources:
    - model: *MODEL
      layer_range: [43, 44]
      <<: *scale_filter_env
  - sources:
    - model: *MODEL
      layer_range: [44, 45]
      <<: *scale_filter_env
  - sources:
    - model: *MODEL
      layer_range: [44, 45]
      <<: *scale_filter_env
  - sources:
    - model: *MODEL
      layer_range: [45, 46]
      <<: *scale_filter_env
  - sources:
    - model: *MODEL
      layer_range: [45, 46]
      <<: *scale_filter_env
  - sources:
    - model: *MODEL
      layer_range: [46, 47]
      <<: *scale_filter_env
  - sources:
    - model: *MODEL
      layer_range: [46, 47]
      <<: *scale_filter_env
  - sources:
    - model: *MODEL
      layer_range: [47, 48]
      <<: *scale_filter_env
  - sources:
    - model: *MODEL
      layer_range: [47, 48]
      <<: *scale_filter_env
  - sources:
    - model: *MODEL
      layer_range: [48, 49]
      <<: *scale_filter_env
  - sources:
    - model: *MODEL
      layer_range: [48, 49]
      <<: *scale_filter_env
  - sources:
    - model: *MODEL
      layer_range: [49, 50]
      <<: *scale_filter_env
  - sources:
    - model: *MODEL
      layer_range: [49, 50]
      <<: *scale_filter_env
  - sources:
    - model: *MODEL
      layer_range: [50, 51]
      <<: *scale_filter_env
  - sources:
    - model: *MODEL
      layer_range: [50, 51]
      <<: *scale_filter_env
  - sources:
    - model: *MODEL
      layer_range: [51, 52]
      <<: *scale_filter_env
  - sources:
    - model: *MODEL
      layer_range: [51, 52]
      <<: *scale_filter_env
  - sources:
    - model: *MODEL
      layer_range: [52, 53]
      <<: *scale_filter_env
  - sources:
    - model: *MODEL
      layer_range: [52, 53]
      <<: *scale_filter_env
  - sources:
    - model: *MODEL
      layer_range: [53, 54]
      <<: *scale_filter_env
  - sources:
    - model: *MODEL
      layer_range: [53, 54]
      <<: *scale_filter_env
  - sources:
    - model: *MODEL
      layer_range: [54, 55]
      <<: *scale_filter_env
  - sources:
    - model: *MODEL
      layer_range: [54, 55]
      <<: *scale_filter_env

  - sources:
    - model: *MODEL
      layer_range: [55, 80]

merge_method: passthrough
dtype: float16
Downloads last month
22
Safetensors
Model size
96.2B params
Tensor type
FP16
·
Inference Examples
Text Generation
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for llmixer/BigWeave-v32-96b

Base model

meta-llama/Meta-Llama-3-70B
Finetuned
meta-llama/Meta-Llama-3-70B-Instruct
Finetuned
(37)
this model
Quantizations
2 models