---
title: NeuralContext-7b-v2
canonical_url: "https://www.modelscope.cn/models/Kukedlc/NeuralContext-7b-v2"
md_url: "https://www.modelscope.cn/models/Kukedlc/NeuralContext-7b-v2.md"
repository: Kukedlc/NeuralContext-7b-v2
last_updated: 2026-06-01
model_type:
  - mistral
architectures:
  - MistralForCausalLM
base_model:
  - mistralai/Mistral-7B-Instruct-v0.2
  - NousResearch/Yarn-Mistral-7b-128k
  - Kukedlc/MyModelsMerge-7b
base_model_relation: merge
parameters: 7.2B
tensor_type:
  - BF16
library_name:
  - pytorch
  - transformer
  - safetensors
frameworks:
  - pytorch
downloads: 19
stars: 0
tags:
  - merge
  - mergekit
  - lazymergekit
  - mistralai/Mistral-7B-Instruct-v0.2
  - NousResearch/Yarn-Mistral-7b-128k
  - Kukedlc/MyModelsMerge-7b
---

# NeuralContext-7b-v2

> NeuralContext-7b-v2 - Kukedlc 在 ModelScope 开源的模型。NeuralContext-7b-v2 is a merge of the following models using LazyMergekit: mistralai/Mistral-7B-Instruct-v0.2 NousResearch/Yarn-Mistral-7b-128k Kukedlc/MyModelsMerge-7b

Kukedlc/NeuralContext-7b-v2 是 ModelScope 魔搭社区上的 7.2B 参数机器学习模型，基于 mistralai/Mistral-7B-Instruct-v0.2、NousResearch/Yarn-Mistral-7b-128k、Kukedlc/MyModelsMerge-7b 构建。

- **Repository**: Kukedlc/NeuralContext-7b-v2
- **Parameters**: 7.2B
- **Base model**: mistralai/Mistral-7B-Instruct-v0.2, NousResearch/Yarn-Mistral-7b-128k, Kukedlc/MyModelsMerge-7b
- **Tags**: merge, mergekit, lazymergekit, mistralai/Mistral-7B-Instruct-v0.2, NousResearch/Yarn-Mistral-7b-128k, Kukedlc/MyModelsMerge-7b
- **Downloads**: 19
- **Stars**: 0
- **Last updated**: 2026-06-01

Source: https://www.modelscope.cn/models/Kukedlc/NeuralContext-7b-v2

---

# NeuralContext-7b-v2

NeuralContext-7b-v2 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2)
* [NousResearch/Yarn-Mistral-7b-128k](https://huggingface.co/NousResearch/Yarn-Mistral-7b-128k)
* [Kukedlc/MyModelsMerge-7b](https://huggingface.co/Kukedlc/MyModelsMerge-7b)

## 🧩 Configuration

```yaml
models:
  - model: mistralai/Mistral-7B-Instruct-v0.2
    # No parameters necessary for base model
  - model: mistralai/Mistral-7B-Instruct-v0.2
    parameters:
      density: 0.44
      weight: 0.2
  - model: NousResearch/Yarn-Mistral-7b-128k
    parameters:
      density: 0.66
      weight: 0.4
  - model: Kukedlc/MyModelsMerge-7b
    parameters:
      density: 0.55
      weight: 0.4
merge_method: dare_ties
base_model: mistralai/Mistral-7B-Instruct-v0.2
parameters:
  int8_mask: true
dtype: bfloat16
```

## 💻 Usage

```python
!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "Kukedlc/NeuralContext-7b-v2"
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"])
```