---
language:
- en
license: apache-2.0
datasets:
- ehartford/dolphin
- jondurbin/airoboros-2.2.1
- ehartford/dolphin-coder
- teknium/openhermes
- ise-uiuc/Magicoder-OSS-Instruct-75K
- ise-uiuc/Magicoder-Evol-Instruct-110K
- LDJnr/Capybara
model-index:
- name: dolphin-2.6-mistral-7b-dpo-5.93B
  results:
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: AI2 Reasoning Challenge (25-Shot)
      type: ai2_arc
      config: ARC-Challenge
      split: test
      args:
        num_few_shot: 25
    metrics:
    - type: acc_norm
      value: 38.99
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Mihaiii/dolphin-2.6-mistral-7b-dpo-5.93B
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: HellaSwag (10-Shot)
      type: hellaswag
      split: validation
      args:
        num_few_shot: 10
    metrics:
    - type: acc_norm
      value: 61.01
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Mihaiii/dolphin-2.6-mistral-7b-dpo-5.93B
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MMLU (5-Shot)
      type: cais/mmlu
      config: all
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 27.32
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Mihaiii/dolphin-2.6-mistral-7b-dpo-5.93B
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: TruthfulQA (0-shot)
      type: truthful_qa
      config: multiple_choice
      split: validation
      args:
        num_few_shot: 0
    metrics:
    - type: mc2
      value: 53.51
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Mihaiii/dolphin-2.6-mistral-7b-dpo-5.93B
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: Winogrande (5-shot)
      type: winogrande
      config: winogrande_xl
      split: validation
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 62.67
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Mihaiii/dolphin-2.6-mistral-7b-dpo-5.93B
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: GSM8k (5-shot)
      type: gsm8k
      config: main
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 0.23
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Mihaiii/dolphin-2.6-mistral-7b-dpo-5.93B
      name: Open LLM Leaderboard
---

This is a pruned version of [cognitivecomputations/dolphin-2.6-mistral-7b-dpo](https://huggingface.co/cognitivecomputations/dolphin-2.6-mistral-7b-dpo) from 7.24B params to 5.93B params (~ 82%).

# Steps to replicate:

Use [laserQlora.ipynb](https://github.com/cognitivecomputations/laserRMT/blob/main/laserQlora.ipynb) from [cognitivecomputations/laserRMT](https://github.com/cognitivecomputations/laserRMT) to determine which layers should be eliminated.

Replace `model_name = "mistralai/Mistral-7B-v0.1"` with `model_name = "cognitivecomputations/dolphin-2.6-mistral-7b-dpo"`.
I also ran the script only for `self_attn.v_proj` (so change the script to `layer_types=["self_attn.v_proj"]`)

Order by snr descending and eliminate top layers using [mergekit](https://github.com/arcee-ai/mergekit).
The threshold for elimination is up to you, depeding on how many layers you want removed. I decided to remove 6 layers (indexes: 3, 5, 16, 18, 19, 24 )

Here is the mergekit config:
```yml
slices:
  - sources:
    - model: "cognitivecomputations/dolphin-2.6-mistral-7b-dpo"
      layer_range: [0, 3]
  - sources:
    - model: "cognitivecomputations/dolphin-2.6-mistral-7b-dpo"
      layer_range: [4, 5]
  - sources:
    - model: "cognitivecomputations/dolphin-2.6-mistral-7b-dpo"
      layer_range: [6, 16]
  - sources:
    - model: "cognitivecomputations/dolphin-2.6-mistral-7b-dpo"
      layer_range: [17, 18]
  - sources:
    - model: "cognitivecomputations/dolphin-2.6-mistral-7b-dpo"
      layer_range: [20, 24]
  - sources:
    - model: "cognitivecomputations/dolphin-2.6-mistral-7b-dpo"
      layer_range: [25, 32]
merge_method: passthrough
dtype: bfloat16
```

The model outputted by mergekit with this configuration is this model (dolphin-2.6-mistral-7b-dpo-5.93B).
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Mihaiii__dolphin-2.6-mistral-7b-dpo-5.93B)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |40.62|
|AI2 Reasoning Challenge (25-Shot)|38.99|
|HellaSwag (10-Shot)              |61.01|
|MMLU (5-Shot)                    |27.32|
|TruthfulQA (0-shot)              |53.51|
|Winogrande (5-shot)              |62.67|
|GSM8k (5-shot)                   | 0.23|