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Model: Aratako/ELYZA-japanese-Llama-2-MoE-2x13B-v0.1 Source: Original Platform
2026-07-27 00:54:06 +08:00
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--- a/README.md
+++ b/README.md
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+---
+base_model:
+- elyza/ELYZA-japanese-Llama-2-13b
+- elyza/ELYZA-japanese-Llama-2-13b-instruct
+license: llama2
+language:
+- ja
+tags:
+- mergekit
+- merge
+- MoE
+---
+# ELYZA-japanese-Llama-2-MoE-2x13B-v0.1
+[**English description here**](#description)
+
+
+## 概要
+Llama-2ベースの学習済み日本語モデルである[elyza/ELYZA-japanese-Llama-2-13b](https://huggingface.co/elyza/ELYZA-japanese-Llama-2-13b)と、そのinstruction tuningモデルである[elyza/ELYZA-japanese-Llama-2-13b-instruct](https://huggingface.co/elyza/ELYZA-japanese-Llama-2-13b-instruct)
+を、[mergekit](https://github.com/cg123/mergekit)を使ってMoEを行い作成したモデルです。
+
+[GGUF版はこちら](https://huggingface.co/Aratako/ELYZA-japanese-Llama-2-MoE-2x13B-v0.1-GGUF)
+
+以下2モデルを利用しています。
+- [elyza/ELYZA-japanese-Llama-2-13b](https://huggingface.co/elyza/ELYZA-japanese-Llama-2-13b)
+- [elyza/ELYZA-japanese-Llama-2-13b-instruct](https://huggingface.co/elyza/ELYZA-japanese-Llama-2-13b-instruct)
+
+## ライセンス
+元モデルの通り、Llama2ライセンスを継承します。
+
+Llama 2 is licensed under the LLAMA 2 Community License, Copyright (c) Meta Platforms, Inc. All Rights Reserved.
+
+## ベンチマーク
+ベースとしたELYZA-japanese-Llama-2-13b-instructと本モデルの[japanese-mt-bench](https://github.com/Stability-AI/FastChat/tree/jp-stable/fastchat/llm_judge)の結果は以下の通りです。
+（シングルターン）
+|Model|Size|Coding|Extraction|Humanities|Math|Reasoning|Roleplay|STEM|Writing|avg_score|
+|---|---|---|---|---|---|---|---|---|---|---|
+| ELYZA-japanese-Llama-2-13b-instruct | 13B | **3.7** | 6.0 | **6.6** | 2.4 | 2.5 | 5.2 | 5.8 | 7.2 | 4.925 |
+| This model  | 2x13B | **3.7** | **6.9** | 6.3 | **3.7** | **4.4** | **6.0** | **7.0** | **7.4** | **5.675** |
+
+![レーダーチャート](./japanese_mt_bench.png)
+
+**ベンチマークに使用したプロンプト**
+```
+"""<s>[INST] <<SYS>>
+あなたは誠実で優秀な日本人のアシスタントです。
+<</SYS>>
+
+{instruction} [/INST]"""
+```
+
+## Description
+This model is created using MoE (Mixture of Experts) through mergekit based on [elyza/ELYZA-japanese-Llama-2-13b](https://huggingface.co/elyza/ELYZA-japanese-Llama-2-13b) and [elyza/ELYZA-japanese-Llama-2-13b-instruct](https://huggingface.co/elyza/ELYZA-japanese-Llama-2-13b-instruct).
+
+[Click here for the GGUF version](https://huggingface.co/Aratako/ELYZA-japanese-Llama-2-MoE-2x13B-v0.1-GGUF)
+
+It utilizes the following two models:
+- [elyza/ELYZA-japanese-Llama-2-13b](https://huggingface.co/elyza/ELYZA-japanese-Llama-2-13b)
+- [elyza/ELYZA-japanese-Llama-2-13b-instruct](https://huggingface.co/elyza/ELYZA-japanese-Llama-2-13b-instruct)
+
+## License
+This model inherit the Llama2 license.
+
+Llama 2 is licensed under the LLAMA 2 Community License, Copyright (c) Meta Platforms, Inc. All Rights Reserved.
+
+## Benchmark
+The results of this model and the base ELYZA-japanese-Llama-2-13b-instruct on japanese-mt-bench are as follows. 
+(Single turn)
+|Model|Size|Coding|Extraction|Humanities|Math|Reasoning|Roleplay|STEM|Writing|avg_score|
+|---|---|---|---|---|---|---|---|---|---|---|
+| ELYZA-japanese-Llama-2-13b-instruct | 13B | **3.7** | 6.0 | **6.6** | 2.4 | 2.5 | 5.2 | 5.8 | 7.2 | 4.925 |
+| This model  | 2x13B | **3.7** | **6.9** | 6.3 | **3.7** | **4.4** | **6.0** | **7.0** | **7.4** | **5.675** |
+
+![レーダーチャート](./japanese_mt_bench.png)
+
+**Prompt used for benchmark**
+```
+"""<s>[INST] <<SYS>>
+あなたは誠実で優秀な日本人のアシスタントです。
+<</SYS>>
+
+{instruction} [/INST]"""
+```
+
+## Merge config
+[mergekit_config.yml](./mergekit_moe_config.yml)
+```yaml
+base_model: ./ELYZA-japanese-Llama-2-13b-instruct
+gate_mode: random
+dtype: bfloat16
+experts:
+  - source_model: ./ELYZA-japanese-Llama-2-13b-instruct
+    positive_prompts: []
+  - source_model: ./ELYZA-japanese-Llama-2-13b
+    positive_prompts: []
+tokenizer_source: model:./ELYZA-japanese-Llama-2-13b-instruct
+```
--- a/config.json
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+{
+  "_name_or_path": "./ELYZA-japanese-Llama-2-13b-instruct",
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+    "MixtralForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 5120,
+  "initializer_range": 0.02,
+  "intermediate_size": 13824,
+  "max_position_embeddings": 4096,
+  "model_type": "mixtral",
+  "num_attention_heads": 40,
+  "num_experts_per_tok": 2,
+  "num_hidden_layers": 40,
+  "num_key_value_heads": 40,
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+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.38.1",
+  "use_cache": true,
+  "vocab_size": 32000
+}
--- a/configuration.json
+++ b/configuration.json
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+{"framework": "pytorch", "task": "text-generation", "allow_remote": true}
--- a/japanese_mt_bench.png
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--- a/mergekit_moe_config.yml
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+base_model: ./ELYZA-japanese-Llama-2-13b-instruct
+gate_mode: random
+dtype: bfloat16
+experts:
+  - source_model: ./ELYZA-japanese-Llama-2-13b-instruct
+    positive_prompts: []
+  - source_model: ./ELYZA-japanese-Llama-2-13b
+    positive_prompts: []
+tokenizer_source: model:./ELYZA-japanese-Llama-2-13b-instruct
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+}
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