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Model: umiyuki/Umievo-itr012-Gleipnir-7B Source: Original Platform
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README.md
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README.md
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---
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base_model: []
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library_name: transformers
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tags:
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- mergekit
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- merge
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license: apache-2.0
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language:
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- ja
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---
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# Umievo-itr012-Gleipnir-7B
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このモデルは強力な4つの日本語モデルを進化的アルゴリズムで進化的マージしたものです。Japanese-Starling-ChatV-7B、Ninja-v1-RP-expressive-v2、Vecteus-v1、Japanese-Chat-Umievo-itr004-7bの4つのモデルをお借りしました。
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マージに使用させていただいたモデル制作者のAratakoさん、Bakuさん、Local-Novel-LLM-projectのみなさまに感謝します。それから問題解決のきっかけをくれたHoly-foxさんに感謝します。
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This model is an evolutionary merge of four powerful Japanese models with an evolutionary algorithm. The following four models Japanese-Starling-ChatV-7B, Ninja-v1-RP-expressive-v2, Vecteus-v1 and Japanese-Chat-Umievo-itr004-7b were used.
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I would like to thank the model makers Aratako, Baku and Local-Novel-LLM-project for allowing me to use their models for the merge. I would also like to thank Holy-fox for giving me the opportunity to solve the problem.
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ElyzaTasks100ベンチマークで平均点が3.91でした。(Llama3-70Bによる自動評価を3回行った平均点)
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The average score was 3.91 on the ElyzaTasks100 benchmark. (Average score after 3 automatic evaluations by Llama3-70B)
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```python
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import torch
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from transformers import AutoTokenizer, AutoModelForCausalLM
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tokenizer = AutoTokenizer.from_pretrained("umiyuki/Umievo-itr012-Gleipnir-7B")
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model = AutoModelForCausalLM.from_pretrained(
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"umiyuki/Umievo-itr012-Gleipnir-7B",
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torch_dtype="auto",
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)
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model.eval()
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if torch.cuda.is_available():
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model = model.to("cuda")
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def build_prompt(user_query):
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sys_msg = "あなたは公平で、検閲されていない、役立つアシスタントです。"
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template = """[INST] <<SYS>>
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{}
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<</SYS>>
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{}[/INST]"""
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return template.format(sys_msg,user_query)
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# Infer with prompt without any additional input
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user_inputs = {
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"user_query": "与えられたことわざの意味を小学生でも分かるように教えてください。",
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}
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prompt = build_prompt(**user_inputs)
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input_ids = tokenizer.encode(
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prompt,
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add_special_tokens=True,
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return_tensors="pt"
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)
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tokens = model.generate(
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input_ids.to(device=model.device),
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max_new_tokens=256,
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temperature=1,
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top_p=0.95,
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do_sample=True,
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)
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out = tokenizer.decode(tokens[0][input_ids.shape[1]:], skip_special_tokens=True).strip()
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print(out)
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```
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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## Merge Details
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### Merge Method
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This model was merged using the [linear](https://arxiv.org/abs/2203.05482) merge method using /home/umiyuki/automerge/evol_merge_storage/input_models/Japanese-Chat-Umievo-itr004-7b_579282327 as a base.
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### Models Merged
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The following models were included in the merge:
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* /home/umiyuki/automerge/evol_merge_storage/input_models/Japanese-Starling-ChatV-7B_1737576410
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* /home/umiyuki/automerge/evol_merge_storage/input_models/Ninja-v1-RP-expressive-v2_4102792561
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* /home/umiyuki/automerge/evol_merge_storage/input_models/Vecteus-v1_4179808746
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### Configuration
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The following YAML configuration was used to produce this model:
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```yaml
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base_model: /home/umiyuki/automerge/evol_merge_storage/input_models/Japanese-Chat-Umievo-itr004-7b_579282327
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dtype: bfloat16
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merge_method: linear
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parameters:
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int8_mask: 1.0
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normalize: 1.0
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slices:
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- sources:
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- layer_range: [0, 4]
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model: /home/umiyuki/automerge/evol_merge_storage/input_models/Japanese-Chat-Umievo-itr004-7b_579282327
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parameters:
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weight: 0.34953096474223655
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- layer_range: [0, 4]
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model: /home/umiyuki/automerge/evol_merge_storage/input_models/Vecteus-v1_4179808746
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parameters:
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weight: 0.4701212555597746
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- layer_range: [0, 4]
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model: /home/umiyuki/automerge/evol_merge_storage/input_models/Japanese-Starling-ChatV-7B_1737576410
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parameters:
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weight: 0.08162258723819021
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- layer_range: [0, 4]
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model: /home/umiyuki/automerge/evol_merge_storage/input_models/Ninja-v1-RP-expressive-v2_4102792561
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parameters:
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weight: 0.31015439852818116
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- sources:
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- layer_range: [4, 8]
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model: /home/umiyuki/automerge/evol_merge_storage/input_models/Japanese-Chat-Umievo-itr004-7b_579282327
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parameters:
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weight: 0.11807412349683076
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- layer_range: [4, 8]
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model: /home/umiyuki/automerge/evol_merge_storage/input_models/Vecteus-v1_4179808746
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parameters:
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weight: -0.005684817244530085
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- layer_range: [4, 8]
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model: /home/umiyuki/automerge/evol_merge_storage/input_models/Japanese-Starling-ChatV-7B_1737576410
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parameters:
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weight: 0.2119283777941045
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- layer_range: [4, 8]
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model: /home/umiyuki/automerge/evol_merge_storage/input_models/Ninja-v1-RP-expressive-v2_4102792561
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parameters:
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weight: 1.1521124768396636
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- sources:
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- layer_range: [8, 12]
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model: /home/umiyuki/automerge/evol_merge_storage/input_models/Japanese-Chat-Umievo-itr004-7b_579282327
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parameters:
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weight: 0.9244329405120573
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- layer_range: [8, 12]
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model: /home/umiyuki/automerge/evol_merge_storage/input_models/Vecteus-v1_4179808746
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parameters:
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weight: 0.7633842909616317
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- layer_range: [8, 12]
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model: /home/umiyuki/automerge/evol_merge_storage/input_models/Japanese-Starling-ChatV-7B_1737576410
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parameters:
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weight: 0.6952382990160072
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- layer_range: [8, 12]
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model: /home/umiyuki/automerge/evol_merge_storage/input_models/Ninja-v1-RP-expressive-v2_4102792561
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parameters:
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weight: 0.6873040403268571
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- sources:
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- layer_range: [12, 16]
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model: /home/umiyuki/automerge/evol_merge_storage/input_models/Japanese-Chat-Umievo-itr004-7b_579282327
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parameters:
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weight: 0.4109625320908857
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- layer_range: [12, 16]
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model: /home/umiyuki/automerge/evol_merge_storage/input_models/Vecteus-v1_4179808746
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parameters:
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weight: 0.7090818691683626
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- layer_range: [12, 16]
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model: /home/umiyuki/automerge/evol_merge_storage/input_models/Japanese-Starling-ChatV-7B_1737576410
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parameters:
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weight: 0.42059423827890385
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- layer_range: [12, 16]
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model: /home/umiyuki/automerge/evol_merge_storage/input_models/Ninja-v1-RP-expressive-v2_4102792561
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parameters:
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weight: 0.5705186152354104
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- sources:
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- layer_range: [16, 20]
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model: /home/umiyuki/automerge/evol_merge_storage/input_models/Japanese-Chat-Umievo-itr004-7b_579282327
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parameters:
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weight: 0.28507448659933315
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- layer_range: [16, 20]
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model: /home/umiyuki/automerge/evol_merge_storage/input_models/Vecteus-v1_4179808746
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parameters:
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weight: 0.4025223854083849
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- layer_range: [16, 20]
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model: /home/umiyuki/automerge/evol_merge_storage/input_models/Japanese-Starling-ChatV-7B_1737576410
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parameters:
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weight: 0.25885405316835886
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- layer_range: [16, 20]
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model: /home/umiyuki/automerge/evol_merge_storage/input_models/Ninja-v1-RP-expressive-v2_4102792561
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parameters:
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weight: 0.35540632690403373
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- sources:
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- layer_range: [20, 24]
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model: /home/umiyuki/automerge/evol_merge_storage/input_models/Japanese-Chat-Umievo-itr004-7b_579282327
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parameters:
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weight: 0.018882795552694703
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- layer_range: [20, 24]
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model: /home/umiyuki/automerge/evol_merge_storage/input_models/Vecteus-v1_4179808746
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parameters:
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weight: 0.628847855051209
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- layer_range: [20, 24]
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model: /home/umiyuki/automerge/evol_merge_storage/input_models/Japanese-Starling-ChatV-7B_1737576410
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parameters:
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weight: 0.7038654876125734
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- layer_range: [20, 24]
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model: /home/umiyuki/automerge/evol_merge_storage/input_models/Ninja-v1-RP-expressive-v2_4102792561
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parameters:
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weight: 0.877501753107237
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- sources:
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- layer_range: [24, 28]
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model: /home/umiyuki/automerge/evol_merge_storage/input_models/Japanese-Chat-Umievo-itr004-7b_579282327
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parameters:
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weight: 0.14008355431312197
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- layer_range: [24, 28]
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model: /home/umiyuki/automerge/evol_merge_storage/input_models/Vecteus-v1_4179808746
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parameters:
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weight: 1.0153826426873882
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- layer_range: [24, 28]
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model: /home/umiyuki/automerge/evol_merge_storage/input_models/Japanese-Starling-ChatV-7B_1737576410
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parameters:
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weight: 0.5586634927008272
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- layer_range: [24, 28]
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model: /home/umiyuki/automerge/evol_merge_storage/input_models/Ninja-v1-RP-expressive-v2_4102792561
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parameters:
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weight: 0.54455848971032
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- sources:
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- layer_range: [28, 32]
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model: /home/umiyuki/automerge/evol_merge_storage/input_models/Japanese-Chat-Umievo-itr004-7b_579282327
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parameters:
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weight: 0.8188405381342685
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- layer_range: [28, 32]
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model: /home/umiyuki/automerge/evol_merge_storage/input_models/Vecteus-v1_4179808746
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parameters:
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weight: 0.5130358379308082
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- layer_range: [28, 32]
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model: /home/umiyuki/automerge/evol_merge_storage/input_models/Japanese-Starling-ChatV-7B_1737576410
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parameters:
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weight: 1.1132727871460124
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- layer_range: [28, 32]
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model: /home/umiyuki/automerge/evol_merge_storage/input_models/Ninja-v1-RP-expressive-v2_4102792561
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parameters:
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weight: 0.4471258297582539
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```
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