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--- |
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base_model: |
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- meta-llama/Llama-3.1-70B |
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- EVA-UNIT-01/LLaMA-EVA-3.33-70B-v0.0 |
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- EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.0 |
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library_name: transformers |
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license: other |
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license_name: eva-llama3.3 |
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tags: |
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- mergekit |
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- merge |
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datasets: |
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- anthracite-org/kalo-opus-instruct-22k-no-refusal |
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- Nopm/Opus_WritingStruct |
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- Gryphe/Sonnet3.5-SlimOrcaDedupCleaned |
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- Gryphe/Sonnet3.5-Charcard-Roleplay |
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- Gryphe/ChatGPT-4o-Writing-Prompts |
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- Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned |
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- Epiculous/SynthRP-Gens-v1.1-Filtered-n-Cleaned |
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- nothingiisreal/Reddit-Dirty-And-WritingPrompts |
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- allura-org/Celeste-1.x-data-mixture |
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- cognitivecomputations/dolphin-2.9.3 |
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--- |
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# EVA LLaMA 3.33 70B v0.1 |
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A RP/storywriting specialist model, full-parameter finetune of Llama-3.3-70B-Instruct on mixture of synthetic and natural data.<br> |
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It uses Celeste 70B 0.1 data mixture, greatly expanding it to improve versatility, creativity and "flavor" of the resulting model.<br> |
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This model was built with Llama by Meta. |
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## Version notes for v0.1 |
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DELLA linear merge of v0.0 with an unreleased checkpoint from a different run. Reduced overfitting, better long context comprehension and recall, less repetition, more stability. |
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<p> |
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<p>Prompt format is Llama3.</p><br> |
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<h3>Recommended sampler values:</h3> |
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<ul> |
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<li>Temperature: 1</li> |
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<li>Min-P: 0.05</li> |
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<li>Repetition Penalty: 1.03</li> |
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</ul> |
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<h3>Recommended SillyTavern preset (via Virt-io):</h3> |
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<ul><li><a href="https://huggingface.co/EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.0/blob/main/EV01-llama.json">Master import</a></li></ul> |
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</p> |
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<h3> |
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Training data: |
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</h3> |
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<ul> |
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<li>Celeste 70B 0.1 data mixture minus Opus Instruct subset. See that model's <a href=https://huggingface.co/nothingiisreal/L3.1-70B-Celeste-V0.1-BF16>card</a> for details.</li> |
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<li>Kalomaze's Opus_Instruct_25k dataset, filtered for refusals.</li> |
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<li>A subset (1k rows) of ChatGPT-4o-WritingPrompts by Gryphe</li> |
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<li>A subset (2k rows) of Sonnet3.5-Charcards-Roleplay by Gryphe</li> |
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<li>Synthstruct and SynthRP datasets by Epiculous</li> |
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<li>A subset from Dolphin-2.9.3, including filtered version of not_samantha and a small subset of systemchat.</li> |
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</ul> |
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<p>Model was created by Kearm, Auri and Cahvay.</p> |
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<h4>Special thanks:</h4><ul> |
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<li>to Cahvay for his work on dataset filtering.</li> |
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<li>to Gryphe, Lemmy, Kalomaze, Nopm, Epiculous and CognitiveComputations for the data</li> |
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<li>and to Allura-org for support, feedback, beta-testing and doing quality control of EVA models.</li></ul> |
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<h3>Licensing</h3> |
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<p>Llama-3.3-70B-Instruct by Meta is licensed under <a href=https://huggingface.co/meta-llama/Llama-3.3-70B-Instruct/blob/main/LICENSE>Llama 3.3 Community License Agreement (further referred as L3.3 license)</a> and is a subject to <a href=https://www.llama.com/llama3_3/use-policy>Acceptable Use Policy for Llama Materials</a>.<br> |
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This derivative is free for personal, research and commercial use on terms of L3.3 license with one extra clause: <br> |
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- Infermatic Inc and any of its employees or paid associates cannot utilize, distribute, download, or otherwise make use of EVA models for any purpose.</p> |
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--- |
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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 linear [DELLA](https://arxiv.org/abs/2406.11617) merge method using [meta-llama/Llama-3.1-70B](https://huggingface.co/meta-llama/Llama-3.1-70B) 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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* [EVA-UNIT-01/LLaMA-EVA-3.33-70B-v0.0](https://huggingface.co/EVA-UNIT-01/LLaMA-EVA-3.33-70B-v0.0) |
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* [EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.0](https://huggingface.co/EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.0) |
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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: EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.0 |
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parameters: |
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density: 0.6 |
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weight: 0.3 |
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lambda: 1.1 |
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epsilon: 0.35 |
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- model: EVA-UNIT-01/LLaMA-EVA-3.33-70B-v0.0 |
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parameters: |
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density: 0.45 |
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weight: 0.7 |
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lambda: 1.1 |
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epsilon: 0.4 |
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merge_method: della_linear |
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base_model: meta-llama/Llama-3.1-70B |
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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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