Edit model card
Configuration Parsing Warning: In config.json: "quantization_config.bits" must be an integer

merged_model

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:

slices:
  - sources:
      - model: 01-ai/Yi-1.5-34B-Chat-16K
        layer_range: [0, 12]
  - sources:
      - model: 01-ai/Yi-1.5-34B-Chat-16K
        layer_range: [6, 18]
  - sources:
      - model: 01-ai/Yi-1.5-34B-Chat-16K
        layer_range: [12, 24]
  - sources:
      - model: 01-ai/Yi-1.5-34B-Chat-16K
        layer_range: [18, 30]
  - sources:
      - model: 01-ai/Yi-1.5-34B-Chat-16K
        layer_range: [24, 36]
  - sources:
      - model: 01-ai/Yi-1.5-34B-Chat-16K
        layer_range: [30, 42]
  - sources:
      - model: 01-ai/Yi-1.5-34B-Chat-16K
        layer_range: [36, 48]
  - sources:
      - model: 01-ai/Yi-1.5-34B-Chat-16K
        layer_range: [42, 54]
  - sources:
      - model: 01-ai/Yi-1.5-34B-Chat-16K
        layer_range: [48, 60]
merge_method: passthrough
dtype: float16
Downloads last month
8
Inference Examples
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 denru/Yi-1.5-34B-Chat-16Kx2-4_65bpw-h8-exl2-pippa

Quantized
(8)
this model