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INEX4-7b
MSL7/INEX4-7b
INEX4-7b is a text generation model from MSL7. 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.
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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
- Mar 2, 2024
- Updated
- Mar 2, 2024
- SHA
- 11682d2d
Try a prompt
Model card
From the Hugging Face model README
Made by Liminerity <#
INEX4-7b
INEX4-7b is a merge of the following models using mergekit:
🧩 Configuration
slices:
- sources:
- model: liminerity/Ingot-7b-slerp-7-forged
layer_range: [0, 32]
- model: yam-peleg/Experiment26-7B
layer_range: [0, 32]
merge_method: slerp
base_model: liminerity/Ingot-7b-slerp-7-forged
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: bfloat16
model: liminerity/merge
slices:
- sources:
- model: liminerity/Ingot-7b-slerp-7-forged
layer_range: [0, 32]
- model: liminerity/merge
layer_range: [0, 32]
merge_method: slerp
base_model: liminerity/Ingot-7b-slerp-7-forged
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: bfloat16
model: liminerity/merge1
slices:
- sources:
- model: yam-peleg/Experiment26-7B
layer_range: [0, 32]
- model: liminerity/merge1
layer_range: [0, 32]
merge_method: slerp
base_model: yam-peleg/Experiment26-7B
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
model: liminerity/merge2
slices:
- sources:
- model: liminerity/merge2
layer_range: [0, 32]
- model: liminerity/merge1
layer_range: [0, 32]
merge_method: slerp
base_model: liminerity/merge2
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: bfloat16
model: INEX-7b
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 75.84 |
| AI2 Reasoning Challenge (25-Shot) | 72.95 |
| HellaSwag (10-Shot) | 88.79 |
| MMLU (5-Shot) | 64.70 |
| TruthfulQA (0-shot) | 74.42 |
| Winogrande (5-shot) | 83.90 |
| GSM8k (5-shot) | 70.28 |
- Task
- Text Generation
- Library
- transformers
- Type
- mistral
- License
- apache-2.0
- Created
- Mar 2, 2024
- Updated
- Mar 2, 2024