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---
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library_name: transformers
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tags:
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- llama-3
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license: cc-by-nc-4.0
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Spring
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'Llama-3-8B-
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'Llama-3-
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'Llama-3-
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---
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library_name: transformers
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tags:
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- llama-3
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license: cc-by-nc-4.0
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---
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# Spring Chicken 8x8b
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I've been really impressed with how well these frankenmoe models quant compared to the base llama 8b, but with far better speed than the 70b. There have been some great 4x8b models released recently, so I tried an 8x8b.
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```
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base_model: ./maldv/spring
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gate_mode: hidden
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dtype: bfloat16
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experts_per_token: 2
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experts:
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- source_model: ./models/Llama3-ChatQA-1.5-8B
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positive_prompts:
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- 'add numbers'
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- 'solve for x'
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negative_prompts:
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- 'I love you'
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- 'Help me'
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- source_model: ./models/InfinityRP-v2-8B
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positive_prompts:
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- 'they said'
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- source_model: ./models/Einstein-v6.1-Llama3-8B
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positive_prompts:
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- 'the speed of light'
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- 'chemical reaction'
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- source_model: ./models/Llama-3-Soliloquy-8B-v2
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positive_prompts:
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- 'write a'
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- source_model: ./models/Llama-3-Lumimaid-8B-v0.1
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positive_prompts:
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- 'she looked'
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- source_model: ./models/L3-TheSpice-8b-v0.8.3
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positive_prompts:
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- 'they felt'
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- source_model: ./models/Llama3-OpenBioLLM-8B
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positive_prompts:
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- 'the correct treatment'
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- source_model: ./models/Llama-3-SauerkrautLM-8b-Instruct
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positive_prompts:
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- 'help me'
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- 'should i'
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```
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### Spring
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Spring is a cascading dare-ties merge of the following models:
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```python
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[
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'Einstein-v6.1-Llama3-8B',
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'L3-TheSpice-8b-v0.8.3',
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'Configurable-Hermes-2-Pro-Llama-3-8B',
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'Llama3-ChatQA-1.5-8B',
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'Llama3-OpenBioLLM-8B',
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'InfinityRP-v2-8B',
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'Llama-3-Soliloquy-8B-v2',
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'Tiamat-8b-1.2-Llama-3-DPO',
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'Llama-3-8B-Instruct-Gradient-1048k',
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'Llama-3-Lumimaid-8B-v0.1',
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'Llama-3-SauerkrautLM-8b-Instruct',
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'Meta-Llama-3-8B-Instruct-DPO',
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]
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```
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