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solidrust
/
MixtureofMerges-MoE-2x7b-SLERPv0.9-AWQ
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Text Generation
Transformers
Safetensors
mixtral
4-bit precision
AWQ
Inference Endpoints
Merge
mergekit
lazymergekit
jsfs11/MixtureofMerges-MoE-2x7b-v7
jsfs11/MixtureofMerges-MoE-2x7bRP-v8
Eval Results
text-generation-inference
awq
License:
apache-2.0
Model card
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jsfs11/MixtureofMerges-MoE-2x7b-SLERPv0.9 AWQ
Model Summary
jsfs11/MixtureofMerges-MoE-2x7b-SLERPv0.9 AWQ
Model creator:
jsfs11
Original model:
MixtureofMerges-MoE-2x7b-SLERPv0.9
Model Summary
MixtureofMerges-MoE-2x7b-SLERPv0.9 is a merge of the following models using
LazyMergekit
:
jsfs11/MixtureofMerges-MoE-2x7b-v7
jsfs11/MixtureofMerges-MoE-2x7bRP-v8
Downloads last month
11
Safetensors
Model size
1.95B params
Tensor type
I32
·
FP16
·
Inference API
Text Generation
Inference API (serverless) has been turned off for this model.
Model tree for
solidrust/MixtureofMerges-MoE-2x7b-SLERPv0.9-AWQ
jsfs11/MixtureofMerges-MoE-2x7b-v7
jsfs11/MixtureofMerges-MoE-2x7bRP-v8
Merge model
this model
Collection including
solidrust/MixtureofMerges-MoE-2x7b-SLERPv0.9-AWQ
2x7B AWQ
Collection
Mixture of experts 2 x 7B.
•
20 items
•
Updated
Apr 30
Evaluation results
normalized accuracy
on AI2 Reasoning Challenge (25-Shot)
test set
Open LLM Leaderboard
73.120
normalized accuracy
on HellaSwag (10-Shot)
validation set
Open LLM Leaderboard
88.760
accuracy
on MMLU (5-Shot)
test set
Open LLM Leaderboard
65.000
mc2
on TruthfulQA (0-shot)
validation set
Open LLM Leaderboard
74.830
accuracy
on Winogrande (5-shot)
validation set
Open LLM Leaderboard
83.580
accuracy
on GSM8k (5-shot)
test set
Open LLM Leaderboard
69.220
View on Papers With Code