README.md

---
license: other
library_name: transformers
tags:
- mergekit
- merge
base_model:
- 01-ai/Yi-9B
license_name: yi-license
license_link: LICENSE
model-index:
- name: bigyi-15b
  results:
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: IFEval (0-Shot)
      type: HuggingFaceH4/ifeval
      args:
        num_few_shot: 0
    metrics:
    - type: inst_level_strict_acc and prompt_level_strict_acc
      value: 20.94
      name: strict accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=abacusai/bigyi-15b
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: BBH (3-Shot)
      type: BBH
      args:
        num_few_shot: 3
    metrics:
    - type: acc_norm
      value: 19.94
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=abacusai/bigyi-15b
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MATH Lvl 5 (4-Shot)
      type: hendrycks/competition_math
      args:
        num_few_shot: 4
    metrics:
    - type: exact_match
      value: 2.34
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=abacusai/bigyi-15b
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: GPQA (0-shot)
      type: Idavidrein/gpqa
      args:
        num_few_shot: 0
    metrics:
    - type: acc_norm
      value: 7.94
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=abacusai/bigyi-15b
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MuSR (0-shot)
      type: TAUR-Lab/MuSR
      args:
        num_few_shot: 0
    metrics:
    - type: acc_norm
      value: 4.29
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=abacusai/bigyi-15b
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MMLU-PRO (5-shot)
      type: TIGER-Lab/MMLU-Pro
      config: main
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 22.25
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=abacusai/bigyi-15b
      name: Open LLM Leaderboard
---
# bigyi-15b

I recently made [bigstral-12b](https://huggingface.co/abacusai/bigstral-12b-32k) and then I saw this new awesome model [yi-9b](https://huggingface.co/01-ai/Yi-9B) and decided to make an embiggened version.

This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).

Bigyi-15b is a base / completion model, so there is no chat template.

It has a 4k context.

## Example

Here is a recipe for Mai Tai:\n\n1: 
> 3 parts rum, 2: 3 parts pineapple juice, 3: half a cup of lime juice, 4: 6 to 8 fresh or frozen pineapple chunks, 5: crushed ice.
> Mix all ingredients except ice and pour into glasses with ice. Garnish with a pineapple slice.

Here is an implementation of 2-sum in golang:
> ```go
> func twoSum(nums []int, target int) []int {
>   if len(nums) <= 1 { return nil }
>   m := map[int] bool{}
>   for i := range(nums) {{
>     n = nums[i]
>
>     // find the complement of current number in map
>     comp = target - n
>     if comp in m { return [m[comp], i+1 ] }
>     else { m[n] = true }
>   }}
>   return nil
> }
> ```


## Merge Details
### Merge Method

This model was merged using the passthrough merge method.

### Models Merged

The following models were included in the merge:
* [01-ai/Yi-9B](https://huggingface.co/01-ai/Yi-9B)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
dtype: float16
merge_method: passthrough
slices:
- sources:
  - layer_range: [0, 12]
    model: 01-ai/Yi-9B
- sources:
  - layer_range: [6, 18]
    model: 01-ai/Yi-9B
- sources:
  - layer_range: [12, 24]
    model: 01-ai/Yi-9B
- sources:
  - layer_range: [18, 30]
    model: 01-ai/Yi-9B
- sources:
  - layer_range: [24, 36]
    model: 01-ai/Yi-9B
- sources:
  - layer_range: [30, 42]
    model: 01-ai/Yi-9B
- sources:
  - layer_range: [36, 48]
    model: 01-ai/Yi-9B

```

# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_abacusai__bigyi-15b)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |12.95|
|IFEval (0-Shot)    |20.94|
|BBH (3-Shot)       |19.94|
|MATH Lvl 5 (4-Shot)| 2.34|
|GPQA (0-shot)      | 7.94|
|MuSR (0-shot)      | 4.29|
|MMLU-PRO (5-shot)  |22.25|