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

2x_bagel-34b-v0.2

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:

  • ./jondurbin_bagel-34b-v0.2

Configuration

The following YAML configuration was used to produce this model:

dtype: float32
merge_method: passthrough
slices:
- sources:
  - layer_range: [0, 20]
    model: "jondurbin_bagel-34b-v0.2"
    parameters:
      scale:
        - filter: q_proj
          value: 0.7071067812
        - filter: k_proj
          value: 0.7071067812
        - value: 1
- sources:
  - layer_range: [10, 30]
    model: "jondurbin_bagel-34b-v0.2"
    parameters:
      scale:
        - filter: q_proj
          value: 0.7071067812
        - filter: k_proj
          value: 0.7071067812
        - value: 1
- sources:
  - layer_range: [20, 40]
    model: "jondurbin_bagel-34b-v0.2"
    parameters:
      scale:
        - filter: q_proj
          value: 0.7071067812
        - filter: k_proj
          value: 0.7071067812
        - value: 1
- sources:
  - layer_range: [30, 50]
    model: "jondurbin_bagel-34b-v0.2"
    parameters:
      scale:
        - filter: q_proj
          value: 0.7071067812
        - filter: k_proj
          value: 0.7071067812
        - value: 1
- sources:
  - layer_range: [40, 60]
    model: "jondurbin_bagel-34b-v0.2"
    parameters:
      scale:
        - filter: q_proj
          value: 0.7071067812
        - filter: k_proj
          value: 0.7071067812
        - value: 1
name: 2xbagel_fp32
---
dtype: bfloat16
merge_method: passthrough
slices:
- sources:
  - layer_range: [0, 100]
    model: 2xbagel_fp32
name: bagel_new
Downloads last month
3
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.

Collection including TeeZee/2xbagel-34b-v0.2-bpw2.8-h6-exl2