初始化项目，由ModelHub XC社区提供模型

Model: Gryphe/MythoLogic-13b
Source: Original Platform

.gitattributes

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README.md

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+---
+license: other
+language:
+- en
+---
+**UPDATE:** There's a Llama 2 sequel now! [Check it out here!](https://huggingface.co/Gryphe/MythoLogic-L2-13b)
+
+An experiment with gradient merges using [the following script](https://github.com/TehVenomm/LM_Transformers_BlockMerge), with [Chronos](https://huggingface.co/elinas/chronos-13b) as its primary model, augmented by [Hermes](https://huggingface.co/NousResearch/Nous-Hermes-13b) and [Wizard-Vicuna Uncensored](https://huggingface.co/TheBloke/Wizard-Vicuna-13B-Uncensored-HF).
+
+Quantized models are available from TheBloke: [GGML](https://huggingface.co/TheBloke/MythoLogic-13B-GGML) - [GPTQ](https://huggingface.co/TheBloke/MythoLogic-13B-GPTQ) (You're the best!)
+
+## Model details
+
+Chronos is a wonderfully verbose model, though it definitely seems to lack in the logic department. Hermes and WizardLM have been merged gradually, primarily in the higher layers (10+) in an attempt to rectify some of this behaviour.
+
+The main objective was to create an all-round model with improved story generation and roleplaying capabilities.
+
+Below is an illustration to showcase a rough approximation of the gradients I used to create MythoLogic:
+
+![](approximation.png)
+
+## Prompt Format
+
+This model primarily uses Alpaca formatting, so for optimal model performance, use:
+```
+<System prompt/Character Card>
+
+### Instruction:
+Your instruction or question here.
+For roleplay purposes, I suggest the following - Write <CHAR NAME>'s next reply in a chat between <YOUR NAME> and <CHAR NAME>. Write a single reply only.
+
+### Response:
+```
+
+---
+license: other
+---

config.json

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+{
+  "_name_or_path": "mythologic-13b",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 5120,
+  "initializer_range": 0.02,
+  "intermediate_size": 13824,
+  "max_position_embeddings": 2048,
+  "max_sequence_length": 2048,
+  "model_type": "llama",
+  "num_attention_heads": 40,
+  "num_hidden_layers": 40,
+  "pad_token_id": 0,
+  "rms_norm_eps": 1e-06,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.30.2",
+  "use_cache": true,
+  "vocab_size": 32000
+}

configuration.json

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

generation_config.json

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