---
license: apache-2.0
model-index:
- name: Laser-WestLake-2x7b
  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: 72.27
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=macadeliccc/Laser-WestLake-2x7b
      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: 88.44
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=macadeliccc/Laser-WestLake-2x7b
      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: 64.71
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=macadeliccc/Laser-WestLake-2x7b
      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: 69.25
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=macadeliccc/Laser-WestLake-2x7b
      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: 85.79
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=macadeliccc/Laser-WestLake-2x7b
      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: 63.53
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=macadeliccc/Laser-WestLake-2x7b
      name: Open LLM Leaderboard
---
# Laser-Westlake-2x7B

![westlake-header](westlake-header.png)

This model is a moerge of [cognitivecomputations/WestLake-7B-v2-laser](https://huggingface.co/cognitivecomputations/WestLake-7B-v2-laser) and [SanjiWatsuki/Kunoichi-DPO-v2-7B](https://huggingface.co/SanjiWatsuki/Kunoichi-DPO-v2-7B)

## Process

+ WestLake-7B-v2-laser is the base model and one of the experts rather than utilizing 3 different models.
+ Will attempt to laser the final product as well, but given that the base has already been lasered it may not work out.
+ I have another version using the original, non-lasered WestLake-7B that I will also attempt to laser and report the differences.  

# Usage

Usage is the same as the [original WestLake-7B](https://huggingface.co/senseable/WestLake-7B-v2)

## GGUF

Available [here](https://huggingface.co/macadeliccc/Laser-WestLake-2x7b-GGUF)

## Evaluations 

<pre>----Benchmark Complete----
2024-01-27 19:12:49
Time taken: 24.3 mins
Prompt Format: ChatML
Model: macadeliccc/Laser-WestLake-2x7b-GGUF
Score (v2): 75.42
Parseable: 171.0
---------------
Batch completed
Time taken: 24.4 mins
---------------
</pre>
# [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_macadeliccc__Laser-WestLake-2x7b)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |74.00|
|AI2 Reasoning Challenge (25-Shot)|72.27|
|HellaSwag (10-Shot)              |88.44|
|MMLU (5-Shot)                    |64.71|
|TruthfulQA (0-shot)              |69.25|
|Winogrande (5-shot)              |85.79|
|GSM8k (5-shot)                   |63.53|