Umievo Itr012 Gleipnir 7B

🚀 Umievo-itr012-Gleipnir-7B

本模型通过进化算法对四个强大的日语模型进行了进化式融合。我们借鉴了Japanese-Starling-ChatV-7B、Ninja-v1-RP-expressive-v2、Vecteus-v1和Japanese-Chat-Umievo-itr004-7b这四个模型。 在此，我们要感谢模型制作者Aratako先生、Baku先生以及Local-Novel-LLM-project的各位，感谢他们允许我们使用其模型进行融合。同时，也要感谢Holy-fox先生为解决问题提供了契机。

该模型在ElyzaTasks100基准测试中的平均得分达到了3.91分（由Llama3 - 70B进行三次自动评估后的平均得分）。

🚀 快速开始

import torch
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("umiyuki/Umievo-itr012-Gleipnir-7B")
model = AutoModelForCausalLM.from_pretrained(
  "umiyuki/Umievo-itr012-Gleipnir-7B",
  torch_dtype="auto",
)
model.eval()

if torch.cuda.is_available():
    model = model.to("cuda")

def build_prompt(user_query):
    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。"
    template = """[INST] <<SYS>>
{}
<</SYS>>

{}[/INST]"""
    return template.format(sys_msg,user_query)

# Infer with prompt without any additional input
user_inputs = {
    "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。",
}
prompt = build_prompt(**user_inputs)

input_ids = tokenizer.encode(
    prompt, 
    add_special_tokens=True, 
    return_tensors="pt"
)

tokens = model.generate(
    input_ids.to(device=model.device),
    max_new_tokens=256,
    temperature=1,
    top_p=0.95,
    do_sample=True,
)

out = tokenizer.decode(tokens[0][input_ids.shape[1]:], skip_special_tokens=True).strip()
print(out)

这是一个使用 mergekit 创建的预训练语言模型融合体。

✨ 主要特性

• 融合了四个强大的日语模型，通过进化算法进行融合，可能具备更强大的语言处理能力。
• 在ElyzaTasks100基准测试中取得了较好的成绩，平均得分3.91分。

📚 详细文档

融合详情

融合方法

本模型采用 线性 融合方法，以 /home/umiyuki/automerge/evol_merge_storage/input_models/Japanese-Chat-Umievo-itr004-7b_579282327 为基础进行融合。

参与融合的模型

以下模型参与了融合：

• /home/umiyuki/automerge/evol_merge_storage/input_models/Japanese-Starling-ChatV-7B_1737576410
• /home/umiyuki/automerge/evol_merge_storage/input_models/Ninja-v1-RP-expressive-v2_4102792561
• /home/umiyuki/automerge/evol_merge_storage/input_models/Vecteus-v1_4179808746

配置

以下是用于生成此模型的YAML配置：

base_model: /home/umiyuki/automerge/evol_merge_storage/input_models/Japanese-Chat-Umievo-itr004-7b_579282327
dtype: bfloat16
merge_method: linear
parameters:
  int8_mask: 1.0
  normalize: 1.0
slices:
- sources:
  - layer_range: [0, 4]
    model: /home/umiyuki/automerge/evol_merge_storage/input_models/Japanese-Chat-Umievo-itr004-7b_579282327
    parameters:
      weight: 0.34953096474223655
  - layer_range: [0, 4]
    model: /home/umiyuki/automerge/evol_merge_storage/input_models/Vecteus-v1_4179808746
    parameters:
      weight: 0.4701212555597746
  - layer_range: [0, 4]
    model: /home/umiyuki/automerge/evol_merge_storage/input_models/Japanese-Starling-ChatV-7B_1737576410
    parameters:
      weight: 0.08162258723819021
  - layer_range: [0, 4]
    model: /home/umiyuki/automerge/evol_merge_storage/input_models/Ninja-v1-RP-expressive-v2_4102792561
    parameters:
      weight: 0.31015439852818116
- sources:
  - layer_range: [4, 8]
    model: /home/umiyuki/automerge/evol_merge_storage/input_models/Japanese-Chat-Umievo-itr004-7b_579282327
    parameters:
      weight: 0.11807412349683076
  - layer_range: [4, 8]
    model: /home/umiyuki/automerge/evol_merge_storage/input_models/Vecteus-v1_4179808746
    parameters:
      weight: -0.005684817244530085
  - layer_range: [4, 8]
    model: /home/umiyuki/automerge/evol_merge_storage/input_models/Japanese-Starling-ChatV-7B_1737576410
    parameters:
      weight: 0.2119283777941045
  - layer_range: [4, 8]
    model: /home/umiyuki/automerge/evol_merge_storage/input_models/Ninja-v1-RP-expressive-v2_4102792561
    parameters:
      weight: 1.1521124768396636
- sources:
  - layer_range: [8, 12]
    model: /home/umiyuki/automerge/evol_merge_storage/input_models/Japanese-Chat-Umievo-itr004-7b_579282327
    parameters:
      weight: 0.9244329405120573
  - layer_range: [8, 12]
    model: /home/umiyuki/automerge/evol_merge_storage/input_models/Vecteus-v1_4179808746
    parameters:
      weight: 0.7633842909616317
  - layer_range: [8, 12]
    model: /home/umiyuki/automerge/evol_merge_storage/input_models/Japanese-Starling-ChatV-7B_1737576410
    parameters:
      weight: 0.6952382990160072
  - layer_range: [8, 12]
    model: /home/umiyuki/automerge/evol_merge_storage/input_models/Ninja-v1-RP-expressive-v2_4102792561
    parameters:
      weight: 0.6873040403268571
- sources:
  - layer_range: [12, 16]
    model: /home/umiyuki/automerge/evol_merge_storage/input_models/Japanese-Chat-Umievo-itr004-7b_579282327
    parameters:
      weight: 0.4109625320908857
  - layer_range: [12, 16]
    model: /home/umiyuki/automerge/evol_merge_storage/input_models/Vecteus-v1_4179808746
    parameters:
      weight: 0.7090818691683626
  - layer_range: [12, 16]
    model: /home/umiyuki/automerge/evol_merge_storage/input_models/Japanese-Starling-ChatV-7B_1737576410
    parameters:
      weight: 0.42059423827890385
  - layer_range: [12, 16]
    model: /home/umiyuki/automerge/evol_merge_storage/input_models/Ninja-v1-RP-expressive-v2_4102792561
    parameters:
      weight: 0.5705186152354104
- sources:
  - layer_range: [16, 20]
    model: /home/umiyuki/automerge/evol_merge_storage/input_models/Japanese-Chat-Umievo-itr004-7b_579282327
    parameters:
      weight: 0.28507448659933315
  - layer_range: [16, 20]
    model: /home/umiyuki/automerge/evol_merge_storage/input_models/Vecteus-v1_4179808746
    parameters:
      weight: 0.4025223854083849
  - layer_range: [16, 20]
    model: /home/umiyuki/automerge/evol_merge_storage/input_models/Japanese-Starling-ChatV-7B_1737576410
    parameters:
      weight: 0.25885405316835886
  - layer_range: [16, 20]
    model: /home/umiyuki/automerge/evol_merge_storage/input_models/Ninja-v1-RP-expressive-v2_4102792561
    parameters:
      weight: 0.35540632690403373
- sources:
  - layer_range: [20, 24]
    model: /home/umiyuki/automerge/evol_merge_storage/input_models/Japanese-Chat-Umievo-itr004-7b_579282327
    parameters:
      weight: 0.018882795552694703
  - layer_range: [20, 24]
    model: /home/umiyuki/automerge/evol_merge_storage/input_models/Vecteus-v1_4179808746
    parameters:
      weight: 0.628847855051209
  - layer_range: [20, 24]
    model: /home/umiyuki/automerge/evol_merge_storage/input_models/Japanese-Starling-ChatV-7B_1737576410
    parameters:
      weight: 0.7038654876125734
  - layer_range: [20, 24]
    model: /home/umiyuki/automerge/evol_merge_storage/input_models/Ninja-v1-RP-expressive-v2_4102792561
    parameters:
      weight: 0.877501753107237
- sources:
  - layer_range: [24, 28]
    model: /home/umiyuki/automerge/evol_merge_storage/input_models/Japanese-Chat-Umievo-itr004-7b_579282327
    parameters:
      weight: 0.14008355431312197
  - layer_range: [24, 28]
    model: /home/umiyuki/automerge/evol_merge_storage/input_models/Vecteus-v1_4179808746
    parameters:
      weight: 1.0153826426873882
  - layer_range: [24, 28]
    model: /home/umiyuki/automerge/evol_merge_storage/input_models/Japanese-Starling-ChatV-7B_1737576410
    parameters:
      weight: 0.5586634927008272
  - layer_range: [24, 28]
    model: /home/umiyuki/automerge/evol_merge_storage/input_models/Ninja-v1-RP-expressive-v2_4102792561
    parameters:
      weight: 0.54455848971032
- sources:
  - layer_range: [28, 32]
    model: /home/umiyuki/automerge/evol_merge_storage/input_models/Japanese-Chat-Umievo-itr004-7b_579282327
    parameters:
      weight: 0.8188405381342685
  - layer_range: [28, 32]
    model: /home/umiyuki/automerge/evol_merge_storage/input_models/Vecteus-v1_4179808746
    parameters:
      weight: 0.5130358379308082
  - layer_range: [28, 32]
    model: /home/umiyuki/automerge/evol_merge_storage/input_models/Japanese-Starling-ChatV-7B_1737576410
    parameters:
      weight: 1.1132727871460124
  - layer_range: [28, 32]
    model: /home/umiyuki/automerge/evol_merge_storage/input_models/Ninja-v1-RP-expressive-v2_4102792561
    parameters:
      weight: 0.4471258297582539

📄 许可证

本项目采用 apache - 2.0 许可证。