---
title: SomeModelsMerge-7b
canonical_url: "https://www.modelscope.cn/models/Kukedlc/SomeModelsMerge-7b"
md_url: "https://www.modelscope.cn/models/Kukedlc/SomeModelsMerge-7b.md"
repository: Kukedlc/SomeModelsMerge-7b
last_updated: 2026-06-01
model_type:
  - mistral
architectures:
  - MistralForCausalLM
base_model:
  - liminerity/M7-7b
  - Kukedlc/NeuralSirKrishna-7b
  - Kukedlc/MyModelsMerge-7b
  - AurelPx/Percival_01-7b-slerp
  - MatthieuJ/Jason1903_SLERP
  - MTSAIR/multi_verse_model
  - Gille/StrangeMerges_30-7B-slerp
  - chihoonlee10/T3Q-Mistral-Orca-Math-DPO
  - yam-peleg/Experiment28-7B
  - mlabonne/UltraMerge-7B
base_model_relation: merge
parameters: 7.2B
tensor_type:
  - BF16
library_name:
  - pytorch
  - transformer
  - safetensors
frameworks:
  - pytorch
downloads: 15
stars: 0
tags:
  - merge
  - mergekit
  - lazymergekit
  - liminerity/M7-7b
  - Kukedlc/NeuralSirKrishna-7b
  - Kukedlc/MyModelsMerge-7b
  - AurelPx/Percival_01-7b-slerp
  - MatthieuJ/Jason1903_SLERP
  - MTSAIR/multi_verse_model
  - Gille/StrangeMerges_30-7B-slerp
  - chihoonlee10/T3Q-Mistral-Orca-Math-DPO
  - yam-peleg/Experiment28-7B
  - mlabonne/UltraMerge-7B
---

# SomeModelsMerge-7b

> SomeModelsMerge-7b - Kukedlc 在 ModelScope 开源的模型。SomeModelsMerge-7b is a merge of the following models using LazyMergekit: liminerity/M7-7b Kukedlc/NeuralSirKrishna-7b Kukedlc/MyModelsMerge-7b AurelPx/Percival01-7b-slerp MatthieuJ/Jason1903SLERP…

Kukedlc/SomeModelsMerge-7b 是 ModelScope 魔搭社区上的 7.2B 参数机器学习模型，基于 liminerity/M7-7b、Kukedlc/NeuralSirKrishna-7b、Kukedlc/MyModelsMerge-7b 构建。

- **Repository**: Kukedlc/SomeModelsMerge-7b
- **Parameters**: 7.2B
- **Base model**: liminerity/M7-7b, Kukedlc/NeuralSirKrishna-7b, Kukedlc/MyModelsMerge-7b, AurelPx/Percival_01-7b-slerp, MatthieuJ/Jason1903_SLERP, MTSAIR/multi_verse_model, Gille/StrangeMerges_30-7B-slerp, chihoonlee10/T3Q-Mistral-Orca-Math-DPO, yam-peleg/Experiment28-7B, mlabonne/UltraMerge-7B
- **Tags**: merge, mergekit, lazymergekit, liminerity/M7-7b, Kukedlc/NeuralSirKrishna-7b, Kukedlc/MyModelsMerge-7b, AurelPx/Percival_01-7b-slerp, MatthieuJ/Jason1903_SLERP, MTSAIR/multi_verse_model, Gille/StrangeMerges_30-7B-slerp, chihoonlee10/T3Q-Mistral-Orca-Math-DPO, yam-peleg/Experiment28-7B, mlabonne/UltraMerge-7B
- **Downloads**: 15
- **Stars**: 0
- **Last updated**: 2026-06-01

Source: https://www.modelscope.cn/models/Kukedlc/SomeModelsMerge-7b

---

# SomeModelsMerge-7b

SomeModelsMerge-7b is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [liminerity/M7-7b](https://huggingface.co/liminerity/M7-7b)
* [Kukedlc/NeuralSirKrishna-7b](https://huggingface.co/Kukedlc/NeuralSirKrishna-7b)
* [Kukedlc/MyModelsMerge-7b](https://huggingface.co/Kukedlc/MyModelsMerge-7b)
* [AurelPx/Percival_01-7b-slerp](https://huggingface.co/AurelPx/Percival_01-7b-slerp)
* [MatthieuJ/Jason1903_SLERP](https://huggingface.co/MatthieuJ/Jason1903_SLERP)
* [MTSAIR/multi_verse_model](https://huggingface.co/MTSAIR/multi_verse_model)
* [Gille/StrangeMerges_30-7B-slerp](https://huggingface.co/Gille/StrangeMerges_30-7B-slerp)
* [chihoonlee10/T3Q-Mistral-Orca-Math-DPO](https://huggingface.co/chihoonlee10/T3Q-Mistral-Orca-Math-DPO)
* [yam-peleg/Experiment28-7B](https://huggingface.co/yam-peleg/Experiment28-7B)
* [mlabonne/UltraMerge-7B](https://huggingface.co/mlabonne/UltraMerge-7B)

## 🧩 Configuration

```yaml
models:
  - model: liminerity/M7-7b
    # no parameters necessary for base model
  - model: liminerity/M7-7b
    parameters:
      weight: 0.2
      density: 0.88
  - model: Kukedlc/NeuralSirKrishna-7b
    parameters:
      weight: 0.1
      density: 0.66
  - model: Kukedlc/MyModelsMerge-7b
    parameters:
      weight: 0.1
      density: 0.66
  - model: AurelPx/Percival_01-7b-slerp
    parameters:
      weight: 0.1
      density: 0.33
  - model: MatthieuJ/Jason1903_SLERP
    parameters:
      weight: 0.1
      density: 0.33
  - model: MTSAIR/multi_verse_model
    parameters:
      weight: 0.1
      density: 0.66
  - model: Gille/StrangeMerges_30-7B-slerp
    parameters:
      weight: 0.1
      density: 0.55
  - model: chihoonlee10/T3Q-Mistral-Orca-Math-DPO
    parameters:
      weight: 0.1
      density: 0.22
  - model: yam-peleg/Experiment28-7B
    parameters:
      weight: 0.1
      density: 0.44
  - model: mlabonne/UltraMerge-7B
    parameters:
      weight: 0.1
      density: 0.77
merge_method: dare_ties
base_model: liminerity/M7-7b

parameters:
  int8_mask: true
  normalize: true
dtype: bfloat16
```

## 💻 Usage

```python
!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "Kukedlc/SomeModelsMerge-7b"
messages = [{"role": "user", "content": "What is a large language model?"}]

tokenizer = AutoTokenizer.from_pretrained(model)
prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
pipeline = transformers.pipeline(
    "text-generation",
    model=model,
    torch_dtype=torch.float16,
    device_map="auto",
)

outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
print(outputs[0]["generated_text"])
```