metadata
base_model:
- 01-ai/Yi-9B
library_name: transformers
tags:
- mergekit
- merge
license: other
license_name: yi-license
license_link: LICENSE
bigyi-15b
I recently made bigstral-12b and then I saw this new awesome model yi-9b and decided to make an embiggened version.
This is a merge of pre-trained language models created using mergekit.
Bigyi-15b is a base / completion model, so there is no chat template.
It has a 4k context.
Example
Here is a recipe for Mai Tai:\n\n1:
3 parts rum, 2: 3 parts pineapple juice, 3: half a cup of lime juice, 4: 6 to 8 fresh or frozen pineapple chunks, 5: crushed ice. Mix all ingredients except ice and pour into glasses with ice. Garnish with a pineapple slice.
Here is an implementation of 2-sum in golang:
func twoSum(nums []int, target int) []int {
if len(nums) <= 1 { return nil }
m := map[int] bool{}
for i := range(nums) {{
n = nums[i]\n\n // find the complement of current number in map
comp = target - n
if comp in m { return [m[comp], i+1 ] }
else { m[n] = true }
}}
return nil
}
Output should be [2,3] because that' is the position of where 4+4 =8 exists in our list
Merge Details
Merge Method
This model was merged using the passthrough merge method.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
dtype: float16
merge_method: passthrough
slices:
- sources:
- layer_range: [0, 12]
model: 01-ai/Yi-9B
- sources:
- layer_range: [6, 18]
model: 01-ai/Yi-9B
- sources:
- layer_range: [12, 24]
model: 01-ai/Yi-9B
- sources:
- layer_range: [18, 30]
model: 01-ai/Yi-9B
- sources:
- layer_range: [24, 36]
model: 01-ai/Yi-9B
- sources:
- layer_range: [30, 42]
model: 01-ai/Yi-9B
- sources:
- layer_range: [36, 48]
model: 01-ai/Yi-9B