kunoichi-lemon-royale-v2experiment1-32K-7B

1
7.0B
license:cc-by-nc-4.0
by
grimjim
Language Model
OTHER
7B params
New
0 downloads
Early-stage
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Edge AI:
Mobile
Laptop
Server
16GB+ RAM
Mobile
Laptop
Server
Quick Summary

This is a merge of pre-trained language models created using mergekit.

Device Compatibility

Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
7GB+ RAM

Code Examples

Configurationyaml
base_model: grimjim/mistralai-Mistral-7B-Instruct-v0.3
dtype: bfloat16
merge_method: slerp
slices:
- sources:
  - model: grimjim/mistralai-Mistral-7B-Instruct-v0.3
    layer_range: [0, 32]
  - model: grimjim/kunoichi-lemon-royale-v2ext-32K-7B
    layer_range: [0, 32]
    value: 0.8
parameters:
  t:
    - filter: embed_tokens
      value: 0.0
    - filter: lm_head
      value: 0.0
    - value: 0.8
Configurationyaml
base_model: grimjim/mistralai-Mistral-7B-Instruct-v0.3
dtype: bfloat16
merge_method: slerp
slices:
- sources:
  - model: grimjim/mistralai-Mistral-7B-Instruct-v0.3
    layer_range: [0, 32]
  - model: grimjim/kunoichi-lemon-royale-v2ext-32K-7B
    layer_range: [0, 32]
    value: 0.8
parameters:
  t:
    - filter: embed_tokens
      value: 0.0
    - filter: lm_head
      value: 0.0
    - value: 0.8
Configurationyaml
base_model: grimjim/mistralai-Mistral-7B-Instruct-v0.3
dtype: bfloat16
merge_method: slerp
slices:
- sources:
  - model: grimjim/mistralai-Mistral-7B-Instruct-v0.3
    layer_range: [0, 32]
  - model: grimjim/kunoichi-lemon-royale-v2ext-32K-7B
    layer_range: [0, 32]
    value: 0.8
parameters:
  t:
    - filter: embed_tokens
      value: 0.0
    - filter: lm_head
      value: 0.0
    - value: 0.8
Configurationyaml
base_model: grimjim/mistralai-Mistral-7B-Instruct-v0.3
dtype: bfloat16
merge_method: slerp
slices:
- sources:
  - model: grimjim/mistralai-Mistral-7B-Instruct-v0.3
    layer_range: [0, 32]
  - model: grimjim/kunoichi-lemon-royale-v2ext-32K-7B
    layer_range: [0, 32]
    value: 0.8
parameters:
  t:
    - filter: embed_tokens
      value: 0.0
    - filter: lm_head
      value: 0.0
    - value: 0.8
Configurationyaml
base_model: grimjim/mistralai-Mistral-7B-Instruct-v0.3
dtype: bfloat16
merge_method: slerp
slices:
- sources:
  - model: grimjim/mistralai-Mistral-7B-Instruct-v0.3
    layer_range: [0, 32]
  - model: grimjim/kunoichi-lemon-royale-v2ext-32K-7B
    layer_range: [0, 32]
    value: 0.8
parameters:
  t:
    - filter: embed_tokens
      value: 0.0
    - filter: lm_head
      value: 0.0
    - value: 0.8
Configurationyaml
base_model: grimjim/mistralai-Mistral-7B-Instruct-v0.3
dtype: bfloat16
merge_method: slerp
slices:
- sources:
  - model: grimjim/mistralai-Mistral-7B-Instruct-v0.3
    layer_range: [0, 32]
  - model: grimjim/kunoichi-lemon-royale-v2ext-32K-7B
    layer_range: [0, 32]
    value: 0.8
parameters:
  t:
    - filter: embed_tokens
      value: 0.0
    - filter: lm_head
      value: 0.0
    - value: 0.8
Configurationyaml
base_model: grimjim/mistralai-Mistral-7B-Instruct-v0.3
dtype: bfloat16
merge_method: slerp
slices:
- sources:
  - model: grimjim/mistralai-Mistral-7B-Instruct-v0.3
    layer_range: [0, 32]
  - model: grimjim/kunoichi-lemon-royale-v2ext-32K-7B
    layer_range: [0, 32]
    value: 0.8
parameters:
  t:
    - filter: embed_tokens
      value: 0.0
    - filter: lm_head
      value: 0.0
    - value: 0.8
Configurationyaml
base_model: grimjim/mistralai-Mistral-7B-Instruct-v0.3
dtype: bfloat16
merge_method: slerp
slices:
- sources:
  - model: grimjim/mistralai-Mistral-7B-Instruct-v0.3
    layer_range: [0, 32]
  - model: grimjim/kunoichi-lemon-royale-v2ext-32K-7B
    layer_range: [0, 32]
    value: 0.8
parameters:
  t:
    - filter: embed_tokens
      value: 0.0
    - filter: lm_head
      value: 0.0
    - value: 0.8
Configurationyaml
base_model: grimjim/mistralai-Mistral-7B-Instruct-v0.3
dtype: bfloat16
merge_method: slerp
slices:
- sources:
  - model: grimjim/mistralai-Mistral-7B-Instruct-v0.3
    layer_range: [0, 32]
  - model: grimjim/kunoichi-lemon-royale-v2ext-32K-7B
    layer_range: [0, 32]
    value: 0.8
parameters:
  t:
    - filter: embed_tokens
      value: 0.0
    - filter: lm_head
      value: 0.0
    - value: 0.8
Configurationyaml
base_model: grimjim/mistralai-Mistral-7B-Instruct-v0.3
dtype: bfloat16
merge_method: slerp
slices:
- sources:
  - model: grimjim/mistralai-Mistral-7B-Instruct-v0.3
    layer_range: [0, 32]
  - model: grimjim/kunoichi-lemon-royale-v2ext-32K-7B
    layer_range: [0, 32]
    value: 0.8
parameters:
  t:
    - filter: embed_tokens
      value: 0.0
    - filter: lm_head
      value: 0.0
    - value: 0.8

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