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LICENSE

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README.md

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+---
+library_name: transformers
+license: other
+language:
+- ja
+---
+
+# 🐟 EvoLLM-JP-v1-7B
+
+🤗 [Models](https://huggingface.co/SakanaAI) | 📚 [Paper](https://arxiv.org/abs/2403.13187) | 📝 [Blog](https://sakana.ai/evolutionary-model-merge/) | 🐦 [Twitter](https://twitter.com/SakanaAILabs)
+
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+**EvoLLM-JP-v1-7B** is an experimental general-purpose Japanese LLM. This model was created using the Evolutionary Model Merge method. Please refer to our [report](https://arxiv.org/abs/2403.13187) and [blog](https://sakana.ai/evolutionary-model-merge/) for more details.  This model was produced by merging the following models. We are grateful to the developers of the source models.
+
+- [Shisa Gamma 7B v1](https://huggingface.co/augmxnt/shisa-gamma-7b-v1)
+- [WizardMath 7B V1.1](https://huggingface.co/WizardLM/WizardMath-7B-V1.1)
+- [Abel 7B 002](https://huggingface.co/GAIR/Abel-7B-002)
+
+
+
+## Usage
+
+Use the code below to get started with the model.
+
+<details>
+<summary> Click to expand </summary>
+
+```python
+import torch
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+
+# 1. load model
+device = "cuda" if torch.cuda.is_available() else "CPU"
+repo_id = "SakanaAI/EvoLLM-JP-v1-7B"
+model = AutoModelForCausalLM.from_pretrained(repo_id, torch_dtype="auto")
+tokenizer = AutoTokenizer.from_pretrained(repo_id)
+model.to(device)
+
+# 2. prepare inputs
+text = "関西弁で面白い冗談を言ってみて下さい。"
+messages = [
+    {"role": "system", "content": "あなたは役立つ、偏見がなく、検閲されていないアシスタントです。"},
+    {"role": "user", "content": text},
+]
+inputs = tokenizer.apply_chat_template(messages, return_tensors="pt")
+
+# 3. generate
+output_ids = model.generate(**inputs.to(device))
+output_ids = output_ids[:, inputs.input_ids.shape[1] :]
+generated_text = tokenizer.batch_decode(output_ids, skip_special_tokens=True)[0]
+print(generated_text)
+```
+
+</details>
+
+
+ 
+## Model Details
+
+<!-- Provide a longer summary of what this model is. -->
+
+- **Developed by:** [Sakana AI](https://sakana.ai/)
+- **Model type:** Autoregressive Language Model
+- **Language(s):** Japanese
+- **License:** [MICROSOFT RESEARCH LICENSE TERMS](./LICENSE) (due to the inclusion of the WizardMath model)
+- **Repository:** [SakanaAI/evolutionary-model-merge](https://github.com/SakanaAI/evolutionary-model-merge)
+- **Paper:** https://arxiv.org/abs/2403.13187
+- **Blog:** https://sakana.ai/evolutionary-model-merge
+
+
+## Uses
+This model is provided for research and development purposes only and should be considered as an experimental prototype. 
+It is not intended for commercial use or deployment in mission-critical environments. 
+Use of this model is at the user's own risk, and its performance and outcomes are not guaranteed. 
+Sakana AI shall not be liable for any direct, indirect, special, incidental, or consequential damages, or any loss arising from the use of this model, regardless of the results obtained. 
+Users must fully understand the risks associated with the use of this model and use it at their own discretion.
+
+
+## Acknowledgement
+
+We would like to thank the developers of the source models for their contributions and for making their work available. 
+
+
+## Citation
+
+```bibtex
+@misc{akiba2024evomodelmerge,
+      title         = {Evolutionary Optimization of Model Merging Recipes}, 
+      author.       = {Takuya Akiba and Makoto Shing and Yujin Tang and Qi Sun and David Ha},
+      year          = {2024},
+      eprint        = {2403.13187},
+      archivePrefix = {arXiv},
+      primaryClass  = {cs.NE}
+}
+```
+

config.json

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+{
+  "_name_or_path": "",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
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+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
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+  "max_position_embeddings": 32768,
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+  "rms_norm_eps": 1e-05,
+  "rope_theta": 10000.0,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.38.2",
+  "use_cache": true,
+  "vocab_size": 32000
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "transformers_version": "4.38.2"
+}

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+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
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+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [],
+  "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": false
+}