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OpenLLM-Ro
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RoLlama2-7b-Chat

Text Generation
Transformers
Safetensors
Romanian
llama
Eval Results (legacy)
text-generation-inference
Model card Files
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@@ -6,35 +6,35 @@ base_model:
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  - OpenLLM-Ro/RoLlama2-7b-Base
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  new_version: OpenLLM-Ro/RoLlama2-7b-Instruct
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  model-index:
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- - name: OpenLLM-Ro/RoLlama2-7b-Chat
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- results:
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- - task:
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- type: text-generation
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- dataset:
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- name: OpenLLM-Ro/ro_arc_challenge
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- type: RoARC
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- metrics:
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- - name: Average
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- type: accuracy
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- value: 41.92
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- - name: 0-shot
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- type: accuracy
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- value: 39.59
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- - name: 1-shot
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- type: accuracy
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- value: 41.05
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- - name: 3-shot
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- type: accuracy
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- value: 42.42
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- - name: 5-shot
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- type: accuracy
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- value: 42.16
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- - name: 10-shot
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- type: accuracy
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- value: 43.36
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- - name: 25-shot
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- type: accuracy
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- value: 42.93
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  ---
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  # Model Card for Model ID
 
6
  - OpenLLM-Ro/RoLlama2-7b-Base
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  new_version: OpenLLM-Ro/RoLlama2-7b-Instruct
8
  model-index:
9
+ - name: OpenLLM-Ro/RoLlama2-7b-Chat
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+ results:
11
+ - task:
12
+ type: text-generation
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+ dataset:
14
+ name: OpenLLM-Ro/ro_arc_challenge
15
+ type: RoARC
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+ metrics:
17
+ - name: Average
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+ type: accuracy
19
+ value: 41.92
20
+ - name: 0-shot
21
+ type: accuracy
22
+ value: 39.59
23
+ - name: 1-shot
24
+ type: accuracy
25
+ value: 41.05
26
+ - name: 3-shot
27
+ type: accuracy
28
+ value: 42.42
29
+ - name: 5-shot
30
+ type: accuracy
31
+ value: 42.16
32
+ - name: 10-shot
33
+ type: accuracy
34
+ value: 43.36
35
+ - name: 25-shot
36
+ type: accuracy
37
+ value: 42.93
38
  ---
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  # Model Card for Model ID