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INEX8-7B
MSL7/INEX8-7B
INEX8-7B 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 11, 2024
- SHA
- bc317679
Try a prompt
Model card
From the Hugging Face model README
MADE WITH LOVE BY LIMINERITY
INEX8-7B
INEX8-7B is a merge of the following models using mergekit:
🧩 Configuration
MODEL_NAME = "merge"
slices:
- sources:
- model: MSL7/INEX4-7b
layer_range: [0, 32]
- model: yam-peleg/Experiment24-7B
layer_range: [0, 32]
merge_method: slerp
base_model: MSL7/INEX4-7b
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: bfloat16
MODEL_NAME = "merge1"
slices:
- sources:
- model: liminerity/merge
layer_range: [0, 32]
- model: CorticalStack/shadow-clown-7B-dare
layer_range: [0, 32]
merge_method: slerp
base_model: liminerity/merge
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_NAME = "merge2"
slices:
- sources:
- model: liminerity/merge1
layer_range: [0, 32]
- model: bardsai/jaskier-7b-dpo-v6.1
layer_range: [0, 32]
merge_method: slerp
base_model: liminerity/merge1
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_NAME = "merge3"
slices:
- sources:
- model: liminerity/merge2
layer_range: [0, 32]
- model: eren23/ogno-monarch-jaskier-merge-7b-OH-PREF-DPO
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_NAME: "INEX8-7b"
slices:
- sources:
- model: liminerity/merge3
layer_range: [0, 32]
- model: yam-peleg/Experiment26-7B
layer_range: [0, 32]
merge_method: slerp
base_model: liminerity/merge3
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
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 76.44 |
| AI2 Reasoning Challenge (25-Shot) | 73.29 |
| HellaSwag (10-Shot) | 89.19 |
| MMLU (5-Shot) | 64.47 |
| TruthfulQA (0-shot) | 77.83 |
| Winogrande (5-shot) | 84.85 |
| GSM8k (5-shot) | 68.99 |
- Task
- Text Generation
- Library
- transformers
- Type
- mistral
- License
- apache-2.0
- Created
- Mar 2, 2024
- Updated
- Mar 11, 2024