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--- |
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base_model: |
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- v000000/MN-12B-Part1 |
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- v000000/MN-12B-Part2 |
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library_name: transformers |
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tags: |
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- mergekit |
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- merge |
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- mistral |
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--- |
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<!DOCTYPE html> |
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<style> |
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h1 { |
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color: #327fa8; /* Red color */ |
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font-size: 1.25em; /* Larger font size */ |
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text-align: left; /* Center alignment */ |
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text-shadow: 2px 2px 4px rgba(0, 0, 0, 0.5); /* Shadow effect */ |
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background: linear-gradient(90deg, #327fa8, #fba8a8); /* Gradient background */ |
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-webkit-background-clip: text; /* Clipping the background to text */ |
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-webkit-text-fill-color: transparent; /* Making the text transparent */ |
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} |
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</style> |
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<html lang="en"> |
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<head> |
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</head> |
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<body> |
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|
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> [!WARNING] |
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> **Temperature:**<br> |
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> Mistral Nemo likes low temperature between 0.3-0.5 |
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Mistral-Nemo-2407-12B-Estrella-v1 |
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--------------------------------------------------------------------- |
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 |
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RP Model. Seems coherent and concise but also creative. Big merge using new DELLA technique. |
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<b>Prompt Format: Seems best with "Mistral Instruct" but ChatML might also work.</b> |
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``` |
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[INST] System Message [/INST] |
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[INST] Name: Let's get started. Please respond based on the information and instructions provided above. [/INST] |
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<s>[INST] Name: What is your favourite condiment? [/INST] |
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AssistantName: Well, I'm quite partial to a good squeeze of fresh lemon juice. It adds just the right amount of zesty flavour to whatever I'm cooking up in the kitchen!</s> |
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[INST] Name: Do you have mayonnaise recipes? [/INST] |
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``` |
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# <h1> Thanks mradermacher for the quants</h1> |
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* [GGUFs static](https://huggingface.co./mradermacher/MN-12B-Estrella-v1-GGUF) |
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* [GGUFs imatrix](https://huggingface.co./mradermacher/MN-12B-Estrella-v1-i1-GGUF) |
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---------------------------------------------------------------------- |
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## merge |
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). |
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## Merge Details |
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### Merge Method |
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This model was merged with a multi-step method using the <b>DELLA</b>, <b>DELLA_LINEAR</b> and <b>SLERP</b> merge algorithms. |
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### Models Merged |
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The following models were included in the merge: |
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* [nothingiisreal/MN-12B-Celeste-V1.9](https://huggingface.co./nothingiisreal/MN-12B-Celeste-V1.9) |
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* [shuttleai/shuttle-2.5-mini](https://huggingface.co./shuttleai/shuttle-2.5-mini) |
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* [anthracite-org/magnum-12b-v2](https://huggingface.co./anthracite-org/magnum-12b-v2) |
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* [Sao10K/MN-12B-Lyra-v1](https://huggingface.co./Sao10K/MN-12B-Lyra-v1) |
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* [unsloth/Mistral-Nemo-Instruct-2407](https://huggingface.co./unsloth/Mistral-Nemo-Instruct-2407) |
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* [NeverSleep/Lumimaid-v0.2-12B](https://huggingface.co./NeverSleep/Lumimaid-v0.2-12B) |
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* [UsernameJustAnother/Nemo-12B-Marlin-v5](https://huggingface.co./UsernameJustAnother/Nemo-12B-Marlin-v5) |
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* [BeaverAI/mistral-doryV2-12b](https://huggingface.co./BeaverAI/mistral-doryV2-12b) |
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* [invisietch/Atlantis-v0.1-12B](https://huggingface.co./invisietch/Atlantis-v0.1-12B) |
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### Configuration |
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The following YAML configuration was used to produce this model: |
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```yaml |
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#Step 1 (Part1) |
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models: |
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- model: Sao10K/MN-12B-Lyra-v1 |
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parameters: |
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weight: 0.15 |
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density: 0.77 |
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- model: shuttleai/shuttle-2.5-mini |
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parameters: |
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weight: 0.20 |
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density: 0.78 |
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- model: anthracite-org/magnum-12b-v2 |
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parameters: |
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weight: 0.35 |
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density: 0.85 |
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- model: nothingiisreal/MN-12B-Celeste-V1.9 |
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parameters: |
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weight: 0.55 |
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density: 0.90 |
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merge_method: della |
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base_model: Sao10K/MN-12B-Lyra-v1 |
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parameters: |
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int8_mask: true |
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epsilon: 0.05 |
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lambda: 1 |
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dtype: bfloat16 |
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#Step 2 (Part2) |
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models: |
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- model: BeaverAI/mistral-doryV2-12b |
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parameters: |
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weight: 0.10 |
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density: 0.4 |
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- model: unsloth/Mistral-Nemo-Instruct-2407 |
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parameters: |
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weight: 0.20 |
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density: 0.4 |
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- model: UsernameJustAnother/Nemo-12B-Marlin-v5 |
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parameters: |
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weight: 0.25 |
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density: 0.5 |
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- model: invisietch/Atlantis-v0.1-12B |
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parameters: |
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weight: 0.3 |
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density: 0.5 |
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- model: NeverSleep/Lumimaid-v0.2-12B |
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parameters: |
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weight: 0.4 |
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density: 0.8 |
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merge_method: della_linear |
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base_model: anthracite-org/magnum-12b-v2 |
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parameters: |
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int8_mask: true |
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epsilon: 0.05 |
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lambda: 1 |
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dtype: bfloat16 |
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#Step 3 (Estrella) |
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slices: |
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- sources: |
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- model: v000000/MN-12B-Part2 |
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layer_range: [0, 40] |
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- model: v000000/MN-12B-Part1 |
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layer_range: [0, 40] |
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merge_method: slerp |
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base_model: v000000/MN-12B-Part1 |
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parameters: #smooth gradient prio part1 |
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t: |
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- filter: self_attn |
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value: [0, 0.5, 0.3, 0.7, 0.6, 0.1, 0.6, 0.3, 0.8, 0.5] |
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- filter: mlp |
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value: [0, 0.5, 0.4, 0.3, 0, 0.3, 0.4, 0.7, 0.2, 0.5] |
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- value: 0.5 |
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dtype: bfloat16 |
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``` |
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</body> |
