BigWeave v12 90B

The BigWeave models aim to identify merge settings equaling or surpassing the performance of Goliath-120b. The version number merely tracks various attempts and is not a quality indicator. Only results demonstrating good performance are retained and shared.

This version is a DARE-TIES merge of two passthrough merges: Xwin-LM-70b-v0.1 + Euryale-1.3-70b (BigWeave v6) and Platypus2-70b-instruct + WinterGoddess-1.4x-70b (BigWeave v8). Both models individually show strong performance, and the merged model achieves even lower perplexity than each model separately.

The 90b size allows for 4bit quants to fit into 48GB of VRAM.

Prompting Format

Vicuna and Alpaca.

Merge process

The models used in the merge are Xwin-LM-70b-v0.1, Euryale-1.3-70b, Platypus2-70b-instruct and WinterGoddess-1.4x-70b.

Merge configuration:

slices:
  - sources:
    - model: Xwin-LM/Xwin-LM-70B-V0.1
      layer_range: [0,12]
  - sources:
    - model: Sao10K/Euryale-1.3-L2-70B
      layer_range: [9,14]
  - sources:
    - model: Xwin-LM/Xwin-LM-70B-V0.1
      layer_range: [12,62]
  - sources:
    - model: Sao10K/Euryale-1.3-L2-70B
      layer_range: [54,71]
  - sources:
    - model: Xwin-LM/Xwin-LM-70B-V0.1
      layer_range: [62,80]
merge_method: passthrough
dtype: float16
---
slices:
  - sources:
    - model: garage-bAInd/Platypus2-70B-instruct
      layer_range: [0,12]
  - sources:
    - model: Sao10K/WinterGoddess-1.4x-70B-L2
      layer_range: [9,14]
  - sources:
    - model: garage-bAInd/Platypus2-70B-instruct
      layer_range: [12,62]
  - sources:
    - model: Sao10/WinterGoddess-1.4x-70B-L2
      layer_range: [54,71]
  - sources:
    - model: garage-bAInd/Platypus2-70B-instruct
      layer_range: [62,80]
merge_method: passthrough
dtype: float16
---
models:
    - model: llmixer/BigWeave-v8-90b
      parameters:
        weight: 0.5
        density: 0.25
merge_method: dare_ties
base_model: llmixer/BigWeave-v6-90b
dtype: float16

Acknowledgements

@Xwin-LM For creating Xwin

@Sao10K For creating Euryale and WinterGoddess

@garage-bAInd For creating Platypus2

@alpindale For creating the original Goliath

@chargoddard For developing mergekit.

Open LLM Leaderboard Evaluation Results

Detailed results can be found here