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+                 Yi Series Models Community License Agreement
+                                 Version: 2.1
+                       Date of Release: November 23, 2023
+ 
+1. Definition
+
+“Agreement” refers to the terms and conditions defined in this Yi Series Models 
+Community License Agreement for the use, reproduction and distribution of Yi 
+Series Models.
+ 
+“Model” refers to associated components (including checkpoints) developed based
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+“Derivatives” refers to all modifications to Yi Series Models, work based on Yi
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+
+                     Yi系列模型社区许可协议
+                          版本: 2.1
+                    发布日期: 2023年11月23日
+ 
+1. 定义
+
+“协议”是指本协议中定义Yi系列模型使用、复制和分发的条款和条件。
+
+“模型”是指任何附带的基于机器学习的组件(包括检查点)，包括学习的权重、参数（包括优
+化器状态）。
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+“Yi系列模型”是指许可方开源的以Yi命名的不同规格、不同能力的模型，包括
+Yi-6B、Yi-34B等。
+
+“模型衍生品”是指对Yi系列模型的所有修改、基于Yi系列模型的工作，或通过将Yi系列模型
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+模型的性能与Yi系列模型类似，包括但不限于需要使用中间数据表示的提取方法或基于Yi系
+列模型生成合成数据来训练其他模型的方法。
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+件）提供。
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+ 
+1) 您对Yi系列模型的使用应遵守法律法规以及其他国家/地区适用的法律要求、尊重社会公
+德和伦理道德。包括但不限于您不得将Yi系列模型用作危害国家安全、宣扬恐怖主义、极端
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+2) 您不得出于军事或非法目的，或以法律法规以及其他国家/地区适用的法律要求所不允许
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+ 
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+许可方并向其提供本协议的副本。
+ 
+5) 若您修改Yi系列模型得到模型衍生品，您必须以显著的方式说明修改的内容，且上述修
+改不得违反本协议的许可限制条件，也不能允许、协助或以其他方式使得第三方违反本协议
+中的许可限制条件。
+ 
+如果您计划将Yi系列模型及模型衍生品用作商业用途，请参见《Yi系列模型商用许可协议》
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+许可限制条件及《Yi系列模型商用许可协议》中的商业许可限制。
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+
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+ 
+在任何情况下，未经许可方事先书面同意，您不得以任何方式使用许可方的任何标识。由于
+您违反本协议使用许可方的标识给许可方或他人造成损失的，由您承担全部法律责任。
+ 
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+
+Yi系列模型按“原样”提供。许可方不对Yi系列模型提供任何明示或暗示的保证，包括但不限
+于：模型及输出结果的稳定性、所有权、适销性、非侵权性、或特定用途适用性。您将对适
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+ 
+1) 许可方不承担您因使用Yi系列模型而导致的数据安全风险。
+ 
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+ 
+4) 许可方不承担您使用Yi系列模型的输出结果涉及的知识产权风险。
+ 
+若由于您对Yi系列模型的使用、复制或分发，或者创建模型衍生品而导致许可方遭受损失，
+许可方有权要求您对许可方的损失进行赔偿。对于任何第三方向许可方提出的因您使用、复
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+护、赔偿并使许可方免受损害。
+ 
+ 
+5. 争议解决
+
+协议的订立、效力、解释、履行、修改和终止，使用、复制和分发Yi系列模型以及争议解决
+均适用中华人民共和国大陆地区（仅为本协议之目的，不包括香港、澳门和台湾）法律，并
+排除冲突法的适用。
+ 
+因使用、复制和分发Yi系列模型而发生的任何争议，各方应首先通过友好协商的方式加以解
+决。协商不成时，应向许可方所在地人民法院提起诉讼。
+ 
+ 
+6. 协议的生效及终止
+
+您使用Yi系列模型即表示您已阅读并同意接受协议的约束。协议自您使用Yi系列模型之日起
+生效并将在您停止使用Yi系列模型之日起终止。若您违反协议中的任何条款或限制，许可方
+有权终止协议。
+ 
+若协议终止，您需立即停止使用Yi系列模型。本协议第4条“免责声明及责任限制”及第5条
+“争议解决”在协议终止后仍有效。
+ 
+ 
+7. 协议更新及联系方式
+
+许可方有权对协议进行不时更新。许可方将通过 https://01.ai 公布协议最新版本。有关
+许可和版权的任何问题，请通过 yi@01.ai 与许可方联系。

README.md

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+---
+datasets:
+- ehartford/dolphin
+- jondurbin/airoboros-2.2.1
+- ehartford/samantha-data
+- ehartford/WizardLM_evol_instruct_V2_196k_unfiltered_merged_split
+language:
+- en
+license: other
+license_name: yi-license
+license_link: LICENSE
+---
+quant of [ehartford's](https://huggingface.co/ehartford) [dolphin-2.2-yi-34b-200k](https://huggingface.co/ehartford/dolphin-2.2-yi-34b-200k)
+
+done with exllamav2 0.0.11 so should have lower loss than earlier quants
+
+```
+python3 convert.py \
+    -i /input/ehartford_dolphin-2.2-yi-34b-200k/ \
+    -c /input/pippa_cleaned/0000.parquet \
+    -o /output/temp/ \
+    -cf /output/dolphin-2.2-yi-34b-200k-4bpw-h6-exl2/ \
+    -l 8192 \
+    -ml 8192 \
+    -b 4 \
+    -hb 6
+```

config.json

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+{
+  "_name_or_path": "01-ai/Yi-34B-200K",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "bos_token_id": 1,
+  "eos_token_id": 7,
+  "hidden_act": "silu",
+  "hidden_size": 7168,
+  "initializer_range": 0.02,
+  "intermediate_size": 20480,
+  "max_position_embeddings": 200000,
+  "model_type": "llama",
+  "num_attention_heads": 56,
+  "num_hidden_layers": 60,
+  "num_key_value_heads": 8,
+  "pad_token_id": 0,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 5000000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.35.2",
+  "use_cache": true,
+  "vocab_size": 64000
+}

generation_config.json

@@ -0,0 +1,7 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 7,
+  "pad_token_id": 0,
+  "transformers_version": "4.35.2"
+}

model.safetensors.index.json

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