|
--- |
|
base_model: Mihaiii/Metis-0.3 |
|
inference: false |
|
license: apache-2.0 |
|
license_name: apache-2.0 |
|
metrics: |
|
- accuracy |
|
--- |
|
|
|
This is a merge between Metis-0.3 and Metis-0.1 having Metis-0.1 as base. |
|
It was done using [mergekit](https://github.com/cg123/mergekit). |
|
|
|
It works well with long system prompts. |
|
|
|
It isn't generic in a sense that it shouldn't be used for story telling, for example, but only for reasoning and text comprehension. |
|
|
|
This model is trained on a private dataset. The high GSM8K score is **NOT** because of the MetaMath dataset. |
|
|
|
# Prompt Format: |
|
|
|
``` |
|
<|system|> |
|
{system_message} </s> |
|
<|user|> |
|
{prompt} </s> |
|
<|assistant|> |
|
``` |
|
|
|
Merge config: |
|
```yaml |
|
slices: |
|
- sources: |
|
- model: Mihaiii/Metis-0.3 |
|
layer_range: [0, 32] |
|
- model: Mihaiii/Metis-0.1 |
|
layer_range: [0, 32] |
|
merge_method: slerp |
|
base_model: Mihaiii/Metis-0.1 |
|
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 # fallback for rest of tensors |
|
dtype: bfloat16 |
|
``` |
