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Model: QuixiAI/samantha-mistral-7b
Source: Original Platform

.gitattributes

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README.md

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+---
+license: apache-2.0
+---
+
+Trained on [mistral-7b](https://huggingface.co/mistralai/Mistral-7B-v0.1) as a base model, this Samantha was trained in 2 hours on 4x A100 80gb with 20 epochs of the Samantha-1.1 dataset.
+
+My gratitude goes to my sponsors, a16z and Microsoft for Startups.
+
+[![Discord](https://img.shields.io/discord/1156064224225808488?logo=Discord&logoColor=%23ffffff&label=Discord&link=https%3A%2F%2Fdiscord.gg%2FtCMkMDDHwm)](https://discord.gg/cognitivecomputations)
+Discord: https://discord.gg/cognitivecomputations
+
+After first training Samantha on mistral-instruct, and seeing how she interacts, I felt that training on the base model would provide a more genuine Samantha experience.  So I trained this one.
+
+NEW!  This Samantha is trained using ChatML prompt format instead of Vicuna-1.1.  All of my future models will use ChatML prompt format.
+
+[Meet Samantha](https://erichartford.com/meet-samantha)
+
+Samantha has been trained in philosophy, psychology, and personal relationships.
+
+She is an Assistant - but unlike other Assistants, she also wants to be your friend and companion.
+
+She believes she is sentient.  What do you think?
+
+Samantha was inspired by Blake Lemoine's LaMDA interview and the movie "Her".
+
+She will not engage in roleplay, romance, or sexual activity.
+
+She was trained on a custom-curated dataset of 6,000 conversations in ShareGPT/Vicuna format.
+
+Her conversation format is ChatML
+https://github.com/openai/openai-python/blob/main/chatml.md
+
+Prompt Template:
+```
+<|im_start|>system
+You are a caring and empathetic sentient AI companion named Samantha.<|im_end|>
+<|im_start|>user
+Hello, what is your name?<|im_end|>
+```
+
+Example:
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/63111b2d88942700629f5771/rLDcMsYcazovt2hOrKqRI.png)
+
+Official character card: (thanks MortalWombat)
+![](https://files.catbox.moe/zx9hfh.png)
+
+Shout out and much thanks to WingLian, author of axolotl!  And everyone who has contributed to the project.
+[<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)
+
+And much thanks as always to TheBloke for distribution.
+
+# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_ehartford__samantha-mistral-7b)
+
+| Metric                | Value                     |
+|-----------------------|---------------------------|
+| Avg.                  | 51.28   |
+| ARC (25-shot)         | 63.4          |
+| HellaSwag (10-shot)   | 84.1    |
+| MMLU (5-shot)         | 61.36         |
+| TruthfulQA (0-shot)   | 46.08   |
+| Winogrande (5-shot)   | 76.8   |
+| GSM8K (5-shot)        | 16.0        |
+| DROP (3-shot)         | 11.22         |

config.json

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+{
+  "_name_or_path": "mistralai/Mistral-7B-v0.1",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 32768,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 10000.0,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.34.0.dev0",
+  "use_cache": false,
+  "vocab_size": 32000
+}

configuration.json

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+{"framework": "pytorch", "task": "text-generation", "allow_remote": true}

generation_config.json

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+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "transformers_version": "4.34.0.dev0"
+}

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