README.md

metadata

license: apache-2.0
inference:
  parameters:
    temperature: 0.79
widget:
  - messages:
      - role: user
        content: How to gain more money?
model-index:
  - name: TinyllamaMix-1.1B
    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: 31.48
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Aryanne/TinyllamaMix-1.1B
          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: 48.39
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Aryanne/TinyllamaMix-1.1B
          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: 25.05
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Aryanne/TinyllamaMix-1.1B
          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: 33.45
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Aryanne/TinyllamaMix-1.1B
          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: 58.48
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Aryanne/TinyllamaMix-1.1B
          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: 1.06
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Aryanne/TinyllamaMix-1.1B
          name: Open LLM Leaderboard

This a TinyLlama mix merge, experimental, using a custom merge method. Should be better at RP.

merge_method: task_swapping
base_model: Doctor-Shotgun/TinyLlama-1.1B-32k
models:
  - model: cognitivecomputations/TinyDolphin-2.8.2-1.1b-laser
    parameters:
      weight: 0.75
      diagonal_offset: 5
  - model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
    parameters:
      weight: 0.85
      diagonal_offset: 17
      invert_offset: True
dtype: bfloat16
name: bye
---
merge_method: task_swapping
base_model: Doctor-Shotgun/TinyLlama-1.1B-32k-Instruct
models:
  - model: vihangd/DopeyTinyLlama-1.1B-v1
    parameters:
      weight: 0.8
      diagonal_offset: 3
      invert_offset: False
dtype: bfloat16
name: hello
---
merge_method: task_arithmetic
base_model: Doctor-Shotgun/TinyLlama-1.1B-32k
models:
  - model: hello
    parameters:
      weight: 0.66
  - model: bye+Anarchist/PIPPA_LORA_TinyLlama
    parameters:
      weight: 0.5
dtype: bfloat16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	32.99
AI2 Reasoning Challenge (25-Shot)	31.48
HellaSwag (10-Shot)	48.39
MMLU (5-Shot)	25.05
TruthfulQA (0-shot)	33.45
Winogrande (5-shot)	58.48
GSM8k (5-shot)	1.06