---
language:
- en
license: llama3
tags:
- moe
model-index:
- name: L3-SnowStorm-v1.15-4x8B-A
  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: 62.2
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=xxx777xxxASD/L3-SnowStorm-v1.15-4x8B-A
      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: 81.09
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=xxx777xxxASD/L3-SnowStorm-v1.15-4x8B-A
      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: 67.89
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=xxx777xxxASD/L3-SnowStorm-v1.15-4x8B-A
      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: 52.11
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=xxx777xxxASD/L3-SnowStorm-v1.15-4x8B-A
      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: 76.32
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=xxx777xxxASD/L3-SnowStorm-v1.15-4x8B-A
      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: 66.49
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=xxx777xxxASD/L3-SnowStorm-v1.15-4x8B-A
      name: Open LLM Leaderboard
---
**Exllamav2** quant (**exl2** / **6.0 bpw**) made with ExLlamaV2 v0.1.1

Other EXL2 quants:
| **Quant** | **Model Size** | **lm_head** |
| ----- | ---------- | ------- |
|<center>**[2.2](https://huggingface.co/Zoyd/xxx777xxxASD_L3-SnowStorm-v1.15-4x8B-A-2_2bpw_exl2)**</center> | <center>7777 MB</center> | <center>6</center> |
|<center>**[2.5](https://huggingface.co/Zoyd/xxx777xxxASD_L3-SnowStorm-v1.15-4x8B-A-2_5bpw_exl2)**</center> | <center>8520 MB</center> | <center>6</center> |
|<center>**[3.0](https://huggingface.co/Zoyd/xxx777xxxASD_L3-SnowStorm-v1.15-4x8B-A-3_0bpw_exl2)**</center> | <center>9941 MB</center> | <center>6</center> |
|<center>**[3.5](https://huggingface.co/Zoyd/xxx777xxxASD_L3-SnowStorm-v1.15-4x8B-A-3_5bpw_exl2)**</center> | <center>11366 MB</center> | <center>6</center> |
|<center>**[3.75](https://huggingface.co/Zoyd/xxx777xxxASD_L3-SnowStorm-v1.15-4x8B-A-3_75bpw_exl2)**</center> | <center>12066 MB</center> | <center>6</center> |
|<center>**[4.0](https://huggingface.co/Zoyd/xxx777xxxASD_L3-SnowStorm-v1.15-4x8B-A-4_0bpw_exl2)**</center> | <center>12789 MB</center> | <center>6</center> |
|<center>**[4.25](https://huggingface.co/Zoyd/xxx777xxxASD_L3-SnowStorm-v1.15-4x8B-A-4_25bpw_exl2)**</center> | <center>13504 MB</center> | <center>6</center> |
|<center>**[5.0](https://huggingface.co/Zoyd/xxx777xxxASD_L3-SnowStorm-v1.15-4x8B-A-5_0bpw_exl2)**</center> | <center>15640 MB</center> | <center>6</center> |
|<center>**[6.0](https://huggingface.co/Zoyd/xxx777xxxASD_L3-SnowStorm-v1.15-4x8B-A-6_0bpw_exl2)**</center> | <center>18586 MB</center> | <center>8</center> |
|<center>**[6.5](https://huggingface.co/Zoyd/xxx777xxxASD_L3-SnowStorm-v1.15-4x8B-A-6_5bpw_exl2)**</center> | <center>20007 MB</center> | <center>8</center> |
|<center>**[8.0](https://huggingface.co/Zoyd/xxx777xxxASD_L3-SnowStorm-v1.15-4x8B-A-8_0bpw_exl2)**</center> | <center>24101 MB</center> | <center>8</center> |


<style>
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  display: inline-block;
}

.image-container img {
  display: block;
  border-radius: 10px;
  box-shadow: 0 0 1px rgba(0, 0, 0, 0.3);
}

.image-container::before {
  content: "";
  position: absolute;
  top: 0px;
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  filter: blur(10px);
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}
</style>
<br>

<div class="image-container">
  <img src="https://cdn-uploads.huggingface.co/production/uploads/64f5e51289c121cb864ba464/8eG7GxTvcbxyVFQf5GF3C.png" style="width: 96%; margin: auto;" >
</div>

> [!NOTE]
> [GGUF](https://huggingface.co/collections/xxx777xxxASD/snowstorm-v115-4x8b-a-665587d3fda461267cfa9d69)

Experimental RP-oriented MoE, the idea was to get a model that would be equal to or better than Mixtral 8x7B and it's finetunes in RP/ERP tasks.

There's:

- [v1.15A](https://huggingface.co/xxx777xxxASD/L3-SnowStorm-v1.15-4x8B-A) <- You're here
- [v1.15B](https://huggingface.co/xxx777xxxASD/L3-SnowStorm-v1.15-4x8B-B)

### Llama 3 SnowStorm v1.15A 4x8B
```
base_model: NeverSleep_Llama-3-Lumimaid-8B-v0.1-OAS
gate_mode: random
dtype: bfloat16
experts_per_token: 2
experts:
  - source_model: Nitral-AI_Poppy_Porpoise-1.0-L3-8B
  - source_model: NeverSleep_Llama-3-Lumimaid-8B-v0.1-OAS
  - source_model: openlynn_Llama-3-Soliloquy-8B-v2
  - source_model: Sao10K_L3-8B-Stheno-v3.1
```


## Models used

- [Nitral-AI/Poppy_Porpoise-1.0-L3-8B](https://huggingface.co/Nitral-AI/Poppy_Porpoise-1.0-L3-8B)
- [NeverSleep/Llama-3-Lumimaid-8B-v0.1-OAS](https://huggingface.co/NeverSleep/Llama-3-Lumimaid-8B-v0.1-OAS)
- [openlynn/Llama-3-Soliloquy-8B-v2](https://huggingface.co/openlynn/Llama-3-Soliloquy-8B-v2)
- [Sao10K/L3-8B-Stheno-v3.1](https://huggingface.co/Sao10K/L3-8B-Stheno-v3.1)


## Difference(from SnowStorm v1.0)

- Update from [ChaoticNeutrals/Poppy_Porpoise-v0.7-L3-8B](https://huggingface.co/ChaoticNeutrals/Poppy_Porpoise-v0.7-L3-8B) to [Nitral-AI/Poppy_Porpoise-0.85-L3-8B](https://huggingface.co/Nitral-AI/Poppy_Porpoise-0.85-L3-8B)


## Vision

[llama3_mmproj](https://huggingface.co/ChaoticNeutrals/LLaVA-Llama-3-8B-mmproj-Updated)

![image/png](https://cdn-uploads.huggingface.co/production/uploads/64f5e51289c121cb864ba464/yv4C6NalqORLjvY3KKZk8.png)


## Prompt format: Llama 3
# [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_xxx777xxxASD__L3-SnowStorm-v1.15-4x8B-A)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |67.68|
|AI2 Reasoning Challenge (25-Shot)|62.20|
|HellaSwag (10-Shot)              |81.09|
|MMLU (5-Shot)                    |67.89|
|TruthfulQA (0-shot)              |52.11|
|Winogrande (5-shot)              |76.32|
|GSM8k (5-shot)                   |66.49|