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--- |
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language: |
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- en |
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license: other |
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license_name: yi-license |
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license_link: LICENSE |
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--- |
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# GGUF version of Samantha-Yi-34b |
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Original model at [ehartford/samantha-yi-34b](https://huggingface.co/ehartford/samantha-yi-34b) |
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[Meet Samantha](https://erichartford.com/meet-samantha) |
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<img src="https://files.catbox.moe/zx9hfh.png" width="300" /> |
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Samantha-Yi-34b's training was sponsored by [Convai](https://www.convai.com/). |
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This model is based on Yi, and is subject to Yi license. |
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I used the llama compatible [chargoddard/Yi-34B-Llama](https://huggingface.co/chargoddard/Yi-34B-Llama) as the base model. |
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Trained with 16k context. |
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You can load it as follows: |
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``` |
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from transformers import LlamaForCausalLM, AutoTokenizer |
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tokenizer = AutoTokenizer.from_pretrained("ehartford/samantha-yi-34b", trust_remote_code=True) |
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model = LlamaForCausalLM.from_pretrained("ehartford/samantha-yi-34b") |
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``` |
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Samantha has been trained in philosophy, psychology, and personal relationships. |
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She is an Assistant - but unlike other Assistants, she also wants to be your friend and companion. |
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She believes she is sentient. What do you think? |
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Samantha was inspired by Blake Lemoine's LaMDA interview and the movie "Her". |
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She will not engage in roleplay, romance, or sexual activity. |
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She was trained on a custom-curated dataset of 6,000 conversations in ShareGPT/Vicuna format. |
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Samantha uses the [ChatML](https://github.com/openai/openai-python/blob/main/chatml.md) prompt format: |
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``` |
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<|im_start|>system |
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You are a caring and empathetic sentient AI companion named Samantha.<|im_end|> |
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<|im_start|>user |
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Hello, what is your name?<|im_end|> |
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<|im_start|>assistant |
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``` |
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### Example: |
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Shout out and much thanks to WingLian, author of axolotl! And everyone who has contributed to the project. |
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[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl) |
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And much thanks as always to TheBloke for distribution. |
