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--- |
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license: apache-2.0 |
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tags: |
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- mistral |
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- conversational |
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- text-generation-inference |
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- mergekit |
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- merge |
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base_model: |
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- UsernameJustAnother/Nemo-12B-Marlin-v5 |
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- anthracite-org/magnum-12b-v2 |
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library_name: transformers |
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--- |
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> [!WARNING] |
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> **General Use Sampling:**<br> |
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> Mistral-Nemo-12B is very sensitive to the temperature sampler, try values near **0.3** at first or else you will get some weird results. This is mentioned by MistralAI at their [Transformers](https://huggingface.co/mistralai/Mistral-Nemo-Instruct-2407#transformers) section. |
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> [!NOTE] |
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> **Best Samplers:**<br> |
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> I found best success using the following for Starlight-V3-12B:<br> |
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> Temperature: `0.7`-`1.2` (Additional stopping strings will be necessary as you increase the temperature)<br> |
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> Top K: `-1`<br> |
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> Min P: `0.05`<br> |
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> Rep Penalty: `1.03-1.1` |
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# Why Version 3? |
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Currently the other versions resulted in really bad results that I didn't upload them, the version number is just the internal version. |
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# Goal |
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The idea is to keep the strengths of [anthracite-org/magnum-12b-v2](https://huggingface.co/anthracite-org/magnum-12b-v2) while adding some more creativity |
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that seems to be lacking in the model. Mistral-Nemo by itself seems to behave less sporadic due to the low temperature needed but this gets a bit repetitive, |
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although it's still the best model I've used so far. |
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# Results |
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I am not entirely pleased with the result of the merge but it seems okay, though base [anthracite-org/magnum-12b-v2](https://huggingface.co/anthracite-org/magnum-12b-v2) |
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might just be better by itself. However, I'll still experiement on different merge methods. |
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Leaking of the training data used on both models seems a bit more apparent when using higher temperature values, |
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especially the use of author notes on the system prompt. Generally I'd advise to create a stopping string for "```" to avoid the generation of the training data. |
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**Original Models:** |
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- [UsernameJustAnother/Nemo-12B-Marlin-v5](https://huggingface.co/UsernameJustAnother/Nemo-12B-Marlin-v5) (Thank you so much for your work ♥) |
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- [anthracite-org/magnum-12b-v2](https://huggingface.co/anthracite-org/magnum-12b-v2) (Thank you so much for your work ♥) |
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**GGUF Quants** |
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- [starble-dev/Starlight-V3-12B-GGUF](https://huggingface.co/starble-dev/Starlight-V3-12B-GGUF) |
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- [mradermacher/Starlight-V3-12B-GGUF](https://huggingface.co/mradermacher/Starlight-V3-12B-GGUF) |
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- [mradermacher/Starlight-V3-12B-i1-GGUF](https://huggingface.co/mradermacher/Starlight-V3-12B-i1-GGUF) (imatrix) |
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**Original Model Licenses & This Model License:** Apache 2.0 |
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--- |
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# Starlight-V3-12B |
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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 using the [TIES](https://arxiv.org/abs/2306.01708) merge method using models/magnum-12b-v2 as a base. |
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### Models Merged |
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The following models were included in the merge: |
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* UsernameJustAnother/Nemo-12B-Marlin-v5 |
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* anthracite-org/magnum-12b-v2 |
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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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models: |
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- model: anthracite-org/magnum-12b-v2 |
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parameters: |
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density: 0.3 |
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weight: 0.5 |
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- model: UsernameJustAnother/Nemo-12B-Marlin-v5 |
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parameters: |
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density: 0.7 |
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weight: 0.5 |
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merge_method: ties |
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base_model: anthracite-org/magnum-12b-v2 |
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parameters: |
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normalize: true |
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int8_mask: true |
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dtype: bfloat16 |
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``` |
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