README.md

metadata

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

This model is a moerge of cognitivecomputations/WestLake-7B-v2-laser and 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

GGUF

Available here

Evaluations

----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
---------------

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

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