merged
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the passthrough merge method.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
dtype: bfloat16
merge_method: passthrough
slices:
- sources:
- layer_range: [0, 6]
model: Fulcrum-AI/Ryze-Embed-3
- sources:
- layer_range: [3, 9]
model: Fulcrum-AI/Ryze-Embed-3
- sources:
- layer_range: [6, 12]
model: Fulcrum-AI/Ryze-Embed-3
- sources:
- layer_range: [9, 15]
model: Fulcrum-AI/Ryze-Embed-3
- sources:
- layer_range: [12, 18]
model: Fulcrum-AI/Ryze-Embed-3
- sources:
- layer_range: [15, 21]
model: Fulcrum-AI/Ryze-Embed-3
- sources:
- layer_range: [18, 24]
model: Fulcrum-AI/Ryze-Embed-3
- sources:
- layer_range: [21, 27]
model: Fulcrum-AI/Ryze-Embed-3
- sources:
- layer_range: [24, 30]
model: Fulcrum-AI/Ryze-Embed-3
- sources:
- layer_range: [27, 33]
model: Fulcrum-AI/Ryze-Embed-3
- sources:
- layer_range: [30, 36]
model: Fulcrum-AI/Ryze-Embed-3
- sources:
- layer_range: [33, 39]
model: Fulcrum-AI/Ryze-Embed-3
- sources:
- layer_range: [36, 42]
model: Fulcrum-AI/Ryze-Embed-3
- sources:
- layer_range: [39, 45]
model: Fulcrum-AI/Ryze-Embed-3
- sources:
- layer_range: [42, 48]
model: Fulcrum-AI/Ryze-Embed-3
- sources:
- layer_range: [45, 51]
model: Fulcrum-AI/Ryze-Embed-3
- sources:
- layer_range: [48, 52]
model: Fulcrum-AI/Ryze-Embed-3
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Model tree for Fulcrum-AI/Ryze-Embed-4
Base model
Alibaba-NLP/gte-Qwen2-1.5B-instruct Finetuned
Fulcrum-AI/Ryze-Embed-3
# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Fulcrum-AI/Ryze-Embed-4", trust_remote_code=True) model = AutoModelForCausalLM.from_pretrained("Fulcrum-AI/Ryze-Embed-4", trust_remote_code=True, device_map="auto")