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Multiparadigm_7B
rmdhirr/Multiparadigm_7B
Multiparadigm_7B is a text generation model from rmdhirr. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
<img src="https://cdn-uploads.huggingface.co/production/uploads/65ad2502043d53781aad2ee4/kmTOHCPDzyflcIrXPzgT5.png" alt="image" width="540" height="540" style="margin-bottom: 30px;"
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7.2B
14.5 GB on disk
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Repo makeup
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.safetensors14.5 GB · 100%
At a glance
- Task
- Text Generation
- Library
- transformers
- License
- apache-2.0
- Model type
- mistral
- Access
- Public
- Created
- Apr 8, 2024
- Updated
- Apr 9, 2024
- SHA
- 3e7fdc71
Try a prompt
Base models
Model card
From the Hugging Face model README
<img src="https://cdn-uploads.huggingface.co/production/uploads/65ad2502043d53781aad2ee4/kmTOHCPDzyflcIrXPzgT5.png" alt="image" width="540" height="540" style="margin-bottom: 30px;">
🌠 Multiparadigm_7B
Multiparadigm_7B is a merge of the following models:
Quantizations
Thanks to mradermacher, static GGUF quants are available here.
Configuration
slices:
- sources:
- model: MTSAIR/multi_verse_model
layer_range: [0, 32]
- model: ResplendentAI/Paradigm_7B
layer_range: [0, 32]
merge_method: slerp
base_model: MTSAIR/multi_verse_model
parameters:
t:
- filter: self_attn
value: [0, 0.6, 0.3, 0.7, 1]
- filter: mlp
value: [1, 0.6, 0.7, 0.3, 0]
- value: 0.6
dtype: bfloat16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 76.08 |
| AI2 Reasoning Challenge (25-Shot) | 73.21 |
| HellaSwag (10-Shot) | 88.95 |
| MMLU (5-Shot) | 64.28 |
| TruthfulQA (0-shot) | 76.87 |
| Winogrande (5-shot) | 83.82 |
| GSM8k (5-shot) | 69.37 |
- Task
- Text Generation
- Library
- transformers
- Type
- mistral
- License
- apache-2.0
- Languages
- en
- Created
- Apr 8, 2024
- Updated
- Apr 9, 2024