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HerculeanSea-7b-128k
Nitral-Archive/HerculeanSea-7b-128k
HerculeanSea-7b-128k is a text generation model from Nitral-Archive. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as other.
Thanks to bartowski we have /HerculeanSea-7b-128k-exl2 https://huggingface.co/bartowski/HerculeanSea-7b-128k-exl2
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231
Public
Parameters
7.2B
14.5 GB on disk
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1
Public
Repo makeup
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.safetensors14.5 GB · 100%
At a glance
- Task
- Text Generation
- Library
- transformers
- License
- other
- Model type
- mistral
- Access
- Public
- Created
- Feb 11, 2024
- Updated
- Mar 4, 2024
- SHA
- 94a5c7c2
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Base models
Model card
From the Hugging Face model README
Thanks to bartowski we have /HerculeanSea-7b-128k-exl2 https://huggingface.co/bartowski/HerculeanSea-7b-128k-exl2
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
slices:
- sources:
- model: Test157t/Pasta-Sea-7b-128k
layer_range: [0, 32]
- model: Locutusque/Hercules-2.0-Mistral-7B
layer_range: [0, 32]
merge_method: slerp
base_model: Test157t/Pasta-Sea-7b-128k
parameters:
t:
- filter: self_attn
value: [0, 0.5, 0.3, 0.7, 1]
- filter: mlp
value: [1, 0.5, 0.7, 0.3, 0]
- value: 0.5
dtype: float16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 68.53 |
| AI2 Reasoning Challenge (25-Shot) | 66.21 |
| HellaSwag (10-Shot) | 85.80 |
| MMLU (5-Shot) | 64.28 |
| TruthfulQA (0-shot) | 55.77 |
| Winogrande (5-shot) | 80.74 |
| GSM8k (5-shot) | 58.38 |
- Task
- Text Generation
- Library
- transformers
- Type
- mistral
- License
- other
- Created
- Feb 11, 2024
- Updated
- Mar 4, 2024