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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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[GGUF Quants](https://huggingface.co/mradermacher/spring-chicken-8x8b-GGUF) |
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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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I'm finding my iq4_xs to be working well. Llama 3 instruct format works well, but minimal format is highly creative. |
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## Scores |
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Not greater than the sum of it's parts, based on the scores; but it is really smart for an emotive RP model. |
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Metric | Score |
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---|--- |
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Average | 65.89 |
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ARC | 63.05 |
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HellaSwag | 82.49 |
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MMLU | 64.45 |
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TruthfulQA | 51.63 |
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Winogrande | 76.24 |
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GSM8K | 51.63 |
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[Details](https://huggingface.co/datasets/open-llm-leaderboard/details_maldv__spring-chicken-8x8b) |
