Edit model card

Llama-3-11.5B-Instruct-attenuated

The core idea came from @jukofyork, see this issue;

As I understand, The concept of the idea is to make model think twice but leap same distances like original. but why 0.7071067812?

The scale factor to use, eg: solve x^2 = 1/2 --> x = 1/sqrt(2) ≈ 0.7071067812

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:

###############################
# llama-3-attenuated.yaml #
###############################

# Use: mergekit-yaml --clone-tensors ./llama-3-attenuated.yaml ./llama-3-attenuated
# See: https://github.com/arcee-ai/mergekit/issues/198 for discussion/reasoning behind this idea.

# ---

# The scale factor to use, eg: solve x^2 = 1/2 --> x = 1/sqrt(2) ≈ 0.7071067812
const_tag: &scale_factor 0.7071067812 # 1/sqrt(2)

# The filter parameters of a scaled block. 
attenuate-env: &attenuated_env
  parameters:
    scale:
      - filter: q_proj
        value: *scale_factor
      - filter: k_proj
        value: *scale_factor
      - value: 1.0

# ---

slices:

  ###########################
  # Block 1: miqu-1 [0, 16] #
  ###########################
  - sources:
    - model: kuotient/Meta-Llama-3-8B-Instruct
      layer_range: [0, 8] # The first 8 layers of Block 1 are not duplicated
  - sources:
    - model: kuotient/Meta-Llama-3-8B-Instruct
      layer_range: [8, 16] # The last 8 layers of Block 1 are are duplicated twice
      <<: *attenuated_env

  ###########################
  # Block 2: miqu-1 [8, 24] #
  ###########################
  - sources:
    - model: kuotient/Meta-Llama-3-8B-Instruct
      layer_range: [8, 24] # All the layers of Block 2 are are duplicated twice
      <<: *attenuated_env

  ##########################
  # Block 3: miqu-1 [16, 32] #
  ##########################
  - sources:
    - model: kuotient/Meta-Llama-3-8B-Instruct
      layer_range: [16, 24] # The first 8 layers of Block 3 are are duplicated twice
      <<: *attenuated_env
  - sources:
    - model: kuotient/Meta-Llama-3-8B-Instruct
      layer_range: [24, 32] # The last 8 layers of Block 3 are not duplicated

merge_method: passthrough
dtype: bfloat16
Downloads last month
4
Safetensors
Model size
11.5B params
Tensor type
BF16
·
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 kuotient/Llama-3-11B-Instruct-attenuated

Finetuned
(2)
this model
Finetunes
1 model
Quantizations
1 model