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README.md ADDED
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+ ---
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+ license: cc-by-nc-4.0
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+ datasets:
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+ - pankajmathur/orca_mini_v1_dataset
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+ - openai/summarize_from_feedback
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+ - PygmalionAI/PIPPA
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+ - chargoddard/rpguild
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+ - lemonilia/LimaRP
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+ language:
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+ - en
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+ tags:
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+ - mistral
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+ ---
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+
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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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+
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+ Experimenting with dataset ratios. Intended to be a roleplay-focused model with some smarts and good long-context recall.
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+
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+ Not sure if I've succeeded on the roleplay front, but something sure went right! Currently the #4 7B model on the leaderboard as of 11/30/2023. Going to riff on this and see where it goes.
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+
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+ | model | Average | ARC | HellaSwag | MMLU | TruthfulQA | Winogrande | GSM8K | DROP |
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+ | --- | --- | --- | --- | --- | --- | --- | --- | --- |
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+ | fblgit/juanako-7b-UNA | 59.91 | 68.17 | 85.34 | 62.47 | 65.13 | 78.85 | 20.7 | 38.74 |
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+ | Intel/neural-chat-7b-v3-1 | 59.06 | 66.21 | 83.64 | 62.37 | 59.65 | 78.14 | 19.56 | 43.84 |
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+ | Weyaxi/OpenHermes-2.5-neural-chat-7b-v3-1-7B | 58.6 | 66.55 | 84.47 | 63.34 | 61.22 | 78.37 | 23.58 | 32.66 |
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+ | **chargoddard/loyal-piano-m7** | 58.42 | 66.72 | 85.03 | 64.43 | 60.03 | 79.08 | 25.7 | 27.92 |
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+ | Gryphe/MythoMist7b | 58.26 | 65.87 | 83.55 | 62.32 | 59.98 | 78.06 | 20.24 | 37.82 |
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+
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+
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+ Dataset composition:
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+ | dataset | rows used | percent of total |
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+ | --- | --- | --- |
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+ | PIPPA | 14.6k | 43% |
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+ | summarize_from_feedback | 9k | 26% |
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+ | orca_mini_v1_dataset | 5.6k | 17% |
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+ | rpguild | 2.86k | 8% |
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+ | LimaRP | 2k | 6% |
config.json ADDED
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+ {
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+ "architectures": [
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+ "MistralForCausalLM"
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+ ],
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+ "bos_token_id": 1,
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+ "eos_token_id": 2,
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+ "hidden_act": "silu",
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+ "hidden_size": 4096,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 14336,
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+ "max_position_embeddings": 32768,
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+ "model_type": "mistral",
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+ "num_attention_heads": 32,
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+ "num_hidden_layers": 32,
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+ "num_key_value_heads": 8,
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+ "rms_norm_eps": 1e-05,
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+ "rope_theta": 10000.0,
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+ "sliding_window": 4096,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "float16",
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+ "transformers_version": "4.35.2",
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+ "use_cache": true,
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+ "vocab_size": 32000
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+ }
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