---
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.

```yaml
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](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Aryanne__TinyllamaMix-1.1B)

|             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|