Hugging Face's logo

nlpguy
/
Mistral-NeMo-Minitron-Upscale-v3

Text Generation
Transformers
Safetensors
mistral
mergekit
Merge
text-generation-inference
Model card Files Community
Mistral-NeMo-Minitron-Upscale-v3
File size: 2,390 Bytes 
d6bb882
 
 
 
 
 
 
6703b09
 
 
 
d6bb882
 
42c7211
d6bb882
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
 
---
base_model:
- nvidia/Mistral-NeMo-Minitron-8B-Base
library_name: transformers
tags:
- mergekit
- merge
license: other
license_name: nvidia-open-model-license
license_link: >-
  https://developer.download.nvidia.com/licenses/nvidia-open-model-license-agreement-june-2024.pdf
---
# merged
## Use v1!
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).

## Merge Details
### Merge Method

This model was merged using the passthrough merge method.

### Models Merged

The following models were included in the merge:
* [nvidia/Mistral-NeMo-Minitron-8B-Base](https://huggingface.co/nvidia/Mistral-NeMo-Minitron-8B-Base)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
dtype: bfloat16
merge_method: passthrough
slices:
- sources:
  - layer_range: [0, 8]
    model: nvidia/Mistral-NeMo-Minitron-8B-Base
- sources:
  - layer_range: [8, 16]
    model: nvidia/Mistral-NeMo-Minitron-8B-Base
    parameters:
      scale:
      - filter: input_layernorm
        value: 0.75
      - value: 1.0
- sources:
  - layer_range: [8, 16]
    model: nvidia/Mistral-NeMo-Minitron-8B-Base
    parameters:
      scale:
      - filter: input_layernorm
        value: 0.75
      - filter: v_proj
        value: 0.5
      - filter: post_attention_layernorm
        value: 0.5
      - value: 1.0
- sources:
  - layer_range: [16, 17]
    model: nvidia/Mistral-NeMo-Minitron-8B-Base
- sources:
  - layer_range: [17, 24]
    model: nvidia/Mistral-NeMo-Minitron-8B-Base
    parameters:
      scale:
      - filter: input_layernorm
        value: 0.75
      - value: 1.0
- sources:
  - layer_range: [17, 24]
    model: nvidia/Mistral-NeMo-Minitron-8B-Base
    parameters:
      scale:
      - filter: input_layernorm
        value: 0.75
      - filter: v_proj
        value: 0.5
      - filter: post_attention_layernorm
        value: 0.5
      - value: 1.0
- sources:
  - layer_range: [24, 25]
    model: nvidia/Mistral-NeMo-Minitron-8B-Base
- sources:
  - layer_range: [25, 32]
    model: nvidia/Mistral-NeMo-Minitron-8B-Base
    parameters:
      scale:
      - filter: input_layernorm
        value: 0.75
      - filter: v_proj
        value: 0.5
      - filter: post_attention_layernorm
        value: 0.5
      - value: 1.0
- sources:
  - layer_range: [25, 40]
    model: nvidia/Mistral-NeMo-Minitron-8B-Base
```