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--- |
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language: |
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- eng |
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tags: |
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- llama-2 |
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- sft |
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license: |
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- mit |
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datasets: |
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- LDJnr/Puffin |
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--- |
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## **Redmond-Puffin-70B** |
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**The first commercially available language model released by Nous Research!** |
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This is a larger version of Puffin- |
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which was originally the worlds first third-party llama-2 fine-tune. leveraging a hand curated set of 3K high quality examples, many of which take full advantage of the 4096 context length of Llama 2. This model was fine-tuned by Nous Research, with LDJ leading the training and dataset curation, along with significant dataset formation contributions by J-Supha. |
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Special thank you to Pygmalion AI for sponsoring the compute. |
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Special thank you to Emozilla for assisting with training experimentations and benchmarking. |
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## Model Training |
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Redmond-Puffin 70B is a new model trained for multiple epochs on a dataset of 3,000 carefully curated GPT-4 examples, most of which are long context conversations between a real human and GPT-4. |
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Additional data came from carefully curated sub sections of datasets such as CamelAI's Physics, Chemistry, Biology and Math. |
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## Prompt Format |
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The reccomended model usage is: |
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``` |
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### human: |
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### response: |
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``` |
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Optional reccomended pre-prompt / system prompt: |
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``` |
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### human: Interact in conversation to the best of your ability, please be concise, logical, intelligent and coherent. |
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### response: Sure! sounds good. |
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``` |
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## When should I use Puffin or Hermes 2? |
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Although full benchmarks have not completed for Puffin, |
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Original Puffin 13B and Hermes-2 13B both beat previous SOTA for GPT4ALL benchmarks, with Hermes-2 winning by a 0.1% margin over Puffin. |
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Overall, for general purpose zero-shot and/or single turn instructions, Hermes will likely be the way to go. Puffin may be prefferred for creative long conversation interactions, like having Puffin play a character or help brain storm creative ideas or concepts that make contextual sense within an already deep conversation. |
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Thank you to the comprehensive analysis and comparison of Puffin and Hermes by reddit user WolframRavenwolf here: https://www.reddit.com/r/LocalLLaMA/comments/158j9r9/nous_hermes_llama2_vs_redmond_puffin_13b/ |
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## Example Outputs!: |
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## Notable Features: |
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- The first Llama-2 based fine-tuned model released by Nous Research. |
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- Ability to recall information upto 2023 without internet (ChatGPT cut off date is in 2021) |
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- Pretrained on 2 trillion tokens of text. (This is double the amount of most Open LLM's) |
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- Pretrained with a context length of 4096 tokens, and fine-tuned on a significant amount of multi-turn conversations reaching that full token limit. |
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- The first commercially available language model released by Nous Research. |
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## Future Plans |
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This is a relatively early build amongst the grand plans for the future of Puffin! |
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Current limitations: Some token mismatch problems have been identified, these may effect the current output quality, we plan to have this solved in Puffin V2 along with other improvements. |
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## How you can help! |
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In the near future we plan on leveraging the help of domain specific expert volunteers to eliminate any mathematically/verifiably incorrect answers from our training curations. |
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If you have at-least a bachelors in mathematics, physics, biology or chemistry and would like to volunteer even just 30 minutes of your expertise time, please contact LDJ on discord! |
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## Benchmarks (New benchmarks coming soon, however here are the 13B benchmarks for now)! |
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As of Puffins release, it achieves a new SOTA for the GPT4All benchmarks! Supplanting Hermes for the #1 position! |
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(Rounded to nearest tenth) |
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Previous Sota: Hermes - 68.8 |
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New Sota: Puffin - 69.9 (+1.1) |
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Puffin 13B supplants Hermes-2 for the #1 spot in Arc-E, HellaSwag and Winogrande! |
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Puffin also perfectly ties with Hermes in PIQA, however Hermes-2 still excels in much of Big Bench and AGIEval, so it's highly reccomended you give it a try as well! |
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