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LICENSE.txt

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+LLAMA 2 COMMUNITY LICENSE AGREEMENT	
+Llama 2 Version Release Date: July 18, 2023
+
+"Agreement" means the terms and conditions for use, reproduction, distribution and 
+modification of the Llama Materials set forth herein.
+
+"Documentation" means the specifications, manuals and documentation 
+accompanying Llama 2 distributed by Meta at ai.meta.com/resources/models-and-
+libraries/llama-downloads/.
+
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+entering in this Agreement on their behalf.
+
+"Llama 2" means the foundational large language models and software and 
+algorithms, including machine-learning model code, trained model weights, 
+inference-enabling code, training-enabling code, fine-tuning enabling code and other 
+elements of the foregoing distributed by Meta at ai.meta.com/resources/models-and-
+libraries/llama-downloads/.
+
+"Llama Materials" means, collectively, Meta's proprietary Llama 2 and 
+Documentation (and any portion thereof) made available under this Agreement.
+
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+
+By clicking "I Accept" below or by using or distributing any portion or element of the 
+Llama Materials, you agree to be bound by this Agreement.
+
+1. License Rights and Redistribution. 
+
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+      
+      b. Redistribution and Use.  
+
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+
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+2. Additional Commercial Terms. If, on the Llama 2 version release date, the 
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+

README.md

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 ---
+base_model:
+- tokyotech-llm/Swallow-7b-instruct-hf
+- allenai/tulu-2-dpo-7b
+tags:
+- mergekit
+- merge
+language:
+  - en
+  - ja
+library_name: transformers
+pipeline_tag: text-generation
 license: llama2
+model_type: llama
 ---
+# Superswallow
+
+<span style="color: red; ">**Important Notice:**</span>
+
+This model partially utilizes the parameters of Tulu V2 DPO finetuned based on Llama 2, so it may inherit the AI2 ImpACT license. Please use the model keeping in mind that there may be changes regarding the license if AI2 contacts me.
+
+The [AI2 ImpACT license](https://allenai.org/impact-license) includes information about data artifacts and model artifacts, but does not cover the case of directly applying parts of the LLM parameters of a model artifact to other models. However, I respect their research and great work, so I will change the license as soon as AI2 contacts me.
+
+## Description
+
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). The model was created by injecting the ability to recognize user intent from [Tulu 2 DPO](https://arxiv.org/abs/2311.10702) into the [Swallow](https://zenn.dev/tokyotech_lm/articles/d6cb3a8fdfc907) instract model.
+
+It was a proof of concept for merging LLMs trained in other languages, and paid close attention to preserving the linguistic capabilities of the merge-based model.
+
+As far as I know, Swallow is the full set Llama 2 model(7B, 13B, 70B) that can output the most beautiful Japanese. Therefore, I used it as the base model for merging this time. Thank you for their wonderful work.
+
+## Prompt template: Swallow (Alpaca format)
+
+```
+以下に、あるタスクを説明する指示があり、それに付随する入力が更なる文脈を提供しています。リクエストを適切に完了するための回答を記述してください。
+
+### 指示:
+{instruction}
+
+### 応答:
+```
+
+## Merge Details
+### Merge Method
+
+This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [tokyotech-llm/Swallow-7b-instruct-hf](https://huggingface.co/tokyotech-llm/Swallow-7b-instruct-hf) as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* [allenai/tulu-2-dpo-7b](https://huggingface.co/allenai/tulu-2-dpo-7b)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+models:
+  - model: tokyotech-llm/Swallow-7b-instruct-hf 
+    # no parameters necessary for base model
+  - model: allenai/tulu-2-dpo-7b # for following user intent
+    parameters:
+      density: 1
+      weight:
+      - filter: mlp.down_proj
+        value: [0.3, 0.25, 0.25, 0.15, 0.1]
+      - filter: mlp.gate_proj
+        value: [0.7, 0.25, 0.5, 0.45, 0.4]
+      - filter: mlp.up_proj
+        value: [0.7, 0.25, 0.5, 0.45, 0.4]
+      - filter: self_attn
+        value: [0.7, 0.25, 0.5, 0.45, 0.4]
+      - value: 0 # fallback for rest of tensors.
+merge_method: dare_ties
+base_model: tokyotech-llm/Swallow-7b-instruct-hf
+dtype: bfloat16
+tokenizer_source: union
+
+```

config.json

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+{
+  "_name_or_path": "tokyotech-llm/Swallow-7b-instruct-hf",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 11008,
+  "max_position_embeddings": 4096,
+  "max_sequence_length": 4096,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 32,
+  "pad_token_id": 0,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.36.2",
+  "use_cache": true,
+  "vocab_size": 43176
+}

mergekit_config.yml

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+models:
+  - model: tokyotech-llm/Swallow-7b-instruct-hf 
+    # no parameters necessary for base model
+  - model: allenai/tulu-2-dpo-7b # follow user intent
+    parameters:
+      density: 1
+      weight:
+      - filter: mlp.down_proj
+        value: [0.3, 0.25, 0.25, 0.15, 0.1]
+      - filter: mlp.gate_proj
+        value: [0.7, 0.25, 0.5, 0.45, 0.4]
+      - filter: mlp.up_proj
+        value: [0.7, 0.25, 0.5, 0.45, 0.4]
+      - filter: self_attn
+        value: [0.7, 0.25, 0.5, 0.45, 0.4]
+      - value: 0 # fallback for rest of tensors.
+merge_method: dare_ties
+base_model: tokyotech-llm/Swallow-7b-instruct-hf
+dtype: bfloat16
+tokenizer_source: union

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special_tokens_map.json

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+}

tokenizer_config.json

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+}