初始化项目，由ModelHub XC社区提供模型

Model: Ba2han/HermesStar-OrcaWind-Synth-11B
Source: Original Platform

.gitattributes

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MergedModel_preset.yaml

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+temperature: 0.9
+top_p: 0.9
+min_p: 0.1
+top_k: 20
+repetition_penalty: 1.15
+mirostat_tau: 2.4
+mirostat_eta: 0.12

README.md

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+---
+license: apache-2.0
+language:
+- en
+library_name: transformers
+pipeline_tag: text-generation
+---
+Open Hermes + Starling passthrough merged
+
+SlimOrca(?)+Zephyr Beta linear merged, then passthrough merged with Synthia
+
+Then both models were merged again in 1 to 0.3 ratio.
+
+# My findings:
+
+Increasing repetition penalty usually makes the model smarter up to a degree but it also causes stability issues.
+
+Since most of the merged models were trained with ChatML, use ChatML template. Rarely the model throws another EOS token though.
+
+- My favorite preset has been uploaded.
+- You can use some sort of CoT prompt instead of "system" in ChatML. It does improve the quality of most output.
+(You are an assistant. Break down the question and come to a conclusion.)
+
+I don't know what I am doing, you are very welcome to put the model through benchmarks. 
+
+I'll also upload q6 GGUF but my internet is shit, so don't hesitate to share other quantizations.

config.json

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+{
+  "_name_or_path": "E:\\text-generation-webui\\models\\OrcaWinds-Synthia",
+  "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": 48,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 10000.0,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.34.1",
+  "use_cache": true,
+  "vocab_size": 32000
+}

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special_tokens_map.json

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+{
+  "additional_special_tokens": [
+    "<unk>",
+    "<s>",
+    "</s>"
+  ],
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
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+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
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+  }
+}

tokenizer_config.json

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+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "legacy": true,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": null,
+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": true
+}