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---
license: apache-2.0
tags:
- moe
- frankenmoe
- merge
- mergekit
- Himitsui/Kaiju-11B
- Sao10K/Fimbulvetr-11B-v2
- decapoda-research/Antares-11b-v2
- beberik/Nyxene-v3-11B
base_model:
- Himitsui/Kaiju-11B
- Sao10K/Fimbulvetr-11B-v2
- decapoda-research/Antares-11b-v2
- beberik/Nyxene-v3-11B
model-index:
- name: Umbra-v3-MoE-4x11b
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: 68.43
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Steelskull/Umbra-v3-MoE-4x11b
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: 87.83
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Steelskull/Umbra-v3-MoE-4x11b
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: 65.99
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Steelskull/Umbra-v3-MoE-4x11b
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: 69.3
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Steelskull/Umbra-v3-MoE-4x11b
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: 83.9
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Steelskull/Umbra-v3-MoE-4x11b
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: 63.08
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Steelskull/Umbra-v3-MoE-4x11b
name: Open LLM Leaderboard
---
ExllamaV2 version of the model created by [Steelskull](https://huggingface.co/Steelskull)!
Original Model https://huggingface.co/Steelskull/Umbra-v3-MoE-4x11b
calibration dataset [here.](https://huggingface.co/datasets/royallab/PIPPA-cleaned)
Requires ExllamaV2, which is being developed by turboderp https://github.com/turboderp/exllamav2 under an MIT license.
DONT USE MAIN BRANCH - Test using 8192 measurement length and rp dataset. Perplexity came out too high. Will update with a normal length rp later.
Branch is 8b8h using wikitext at 4096 length
-----
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<html lang="en">
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<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Umbra-v3-MoE-4x11b Data Card</title>
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<div class="container">
<div class="header">
<h1>Umbra-v3-MoE-4x11b</h1>
</div>
<div class="info">
<img src="https://cdn-uploads.huggingface.co/production/uploads/64545af5ec40bbbd01242ca6/MHmVGOLGh4I5MfQ83iiXS.jpeg">
<p><strong>Creator:</strong> <a href="https://huggingface.co/Steelskull" target="_blank">SteelSkull</a></p>
<p><strong>About Umbra-v3-MoE-4x11b:</strong> A Mixture of Experts model designed for general assistance with a special knack for storytelling and RP/ERP</p>
<p>Integrates models from notable sources for enhanced performance in diverse tasks.</p>
<p><strong>Source Models:</strong></p>
<ul>
<li><a href="https://huggingface.co/Himitsui/Kaiju-11B">Himitsui/Kaiju-11B</a></li>
<li><a href="https://huggingface.co/Sao10K/Fimbulvetr-11B-v2">Sao10K/Fimbulvetr-11B-v2</a></li>
<li><a href="https://huggingface.co/decapoda-research/Antares-11b-v2">decapoda-research/Antares-11b-v2</a></li>
<li><a href="https://huggingface.co/beberik/Nyxene-v3-11B">beberik/Nyxene-v3-11B</a></li>
</ul>
</div>
<div class="update-section">
<h2>Update-Log:</h2>
<p>The [Umbra Series] keeps rolling out from the [Lumosia Series] garage, aiming to be your digital Alfred with a side of Shakespeare for those RP/ERP nights.</p>
<p><strong>What's Fresh in v3?</strong></p>
<p>Didn’t reinvent the wheel, just slapped on some fancier rims. Upgraded the models and tweaked the prompts a bit. Now, Umbra's not just a general use LLM; it's also focused on spinning stories and "Stories".</p>
<p><strong>Negative Prompt Minimalism</strong></p>
<p>Got the prompts to do a bit of a diet and gym routine—more beef on the positives, trimming down the negatives as usual with a dash of my midnight musings.</p>
<p><strong>Still Guessing, Aren’t We?</strong></p>
<p>Just so we're clear, "v3" is not the messiah of updates. It’s another experiment in the saga.</p>
<p>Dive into Umbra v3 and toss your two cents my way. Your feedback is the caffeine in my code marathon.</p>
</div>
</div>
</body>
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# [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_Steelskull__Umbra-v3-MoE-4x11b)
| Metric |Value|
|---------------------------------|----:|
|Avg. |73.09|
|AI2 Reasoning Challenge (25-Shot)|68.43|
|HellaSwag (10-Shot) |87.83|
|MMLU (5-Shot) |65.99|
|TruthfulQA (0-shot) |69.30|
|Winogrande (5-shot) |83.90|
|GSM8k (5-shot) |63.08|
|