"""Mistral-7B-v0.1 configuration""" from transformers.configuration_utils import PretrainedConfig class MistralConfig(PretrainedConfig): model_type = "mistral" keys_to_ignore_at_inference = ["past_key_values"] def __init__( self, vocab_size=32000, hidden_size=4096, intermediate_size=14336, ...
The Mistral-7B-Instruct-v0.1 Large Language Model (LLM) is a instruct fine-tuned version of theMistral-7B-v0.1generative text model using a variety of publicly available conversation datasets. For full details of this model please read ourpaperandrelease blog post. Model Architecture This instruct...
python -m main interactive /path/to/mistral-7B-v0.1/ --max_tokens 256 --temperature 1.0 If you want a self-contained implementation, look at one_file_ref.py, or run it with python -m one_file_ref /path/to/mistral-7B-v0.1/ This is a test of the emergency broadcast system. This...
wget https://files.mistral-7b-v0-1.mistral.ai/mistral-7B-v0.1.tar tar -xf mistral-7B-v0.1.tar Run the model python -m main demo /path/to/mistral-7B-v0.1/ # To give your own prompts python -m main interactive /path/to/mistral-7B-v0.1/ ...
微调代码开源地址: github.com/modelscope/s clone swift仓库并安装环境 git clone https://github.com/modelscope/swift.git cd swift pip install . cd examples/pytorch/llm pip install -r requirements.txt -U LoRA微调mistral-7b-instruct 模型微调脚本 (lora+ddp+deepspeed) 微调数据集: modelscope.cn/...
为此,清华大学地球系统科学系地球和空间信息科学实验室基于Mistral-7B进行了中文词表扩充和增量预训练,增强了Mistral-7B在中文任务上的表现,并提高了其对中文文本的编解码效率。 项目地址: https://github.com/THU-ESIS/Chinese-Mistral 二、模型性能 为了保证评估的公平性和严谨性,我们使用开源可复现的评测框架OpenCo...
This project is a tutorial on parameter-efficient fine-tuning (PEFT) and quantization of the Mistral 7B v0.1 model. We use LoRA for PEFT and 4-bit quantization to compress the model, and fine-tune the model on a semi-manually crafted fashion style recommendation instruct dataset. For more ...
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reference implementation: https://github.com/mistralai/mistral-src [2] 下载: https://files.mistral-7b-v0-1.mistral.ai/mistral-7B-v0.1.tar [3] inference server and skypilot: https://docs.mistral.ai/cloud-deployment/skypilot [4] HuggingFace: https://huggingface.co/mistralai [5] reference...
Mistral-7B-v0.1是对Llama 2等其他小型大型语言模型的进一步改进,以相当低的计算成本提供类似的功能(根据一些标准基准)。可适应许多场景,可以执行各种自然语言处理任务,序列长度为8k。例如,它非常适合文本摘要、分类、文本补全、代码补全。 下面是 Mistral 7B 的特征: ...