---
title: mistral-ft-optimized-1218
canonical_url: "https://www.modelscope.cn/models/AI-ModelScope/mistral-ft-optimized-1218"
md_url: "https://www.modelscope.cn/models/AI-ModelScope/mistral-ft-optimized-1218.md"
repository: AI-ModelScope/mistral-ft-optimized-1218
last_updated: 2023-12-25
license: apache-2.0
pipeline_tag: text-generation
tasks:
  - text-generation
model_type:
  - mistral
architectures:
  - MistralForCausalLM
parameters: 7.2B
tensor_type:
  - BF16
library_name:
  - safetensors
  - pytorch
frameworks:
  - Pytorch
language:
  - en
inference_backends:
  - "deploy_task text/emb"
  - "lmdeploy 0.9.1"
  - "lmdeploy_turbomind 0.9.1"
  - "sglang 0.5.2"
  - "vllm 0.9.2"
downloads: 64
stars: 0
---

# mistral-ft-optimized-1218

> mistral-ft-optimized-1218 - AI-ModelScope 在 ModelScope 开源的模型。This model is intended to be a strong base suitable for downstream fine-tuning on a variety of tasks. Based on our internal evaluations, we believe it's one of the strongest models for most…

AI-ModelScope/mistral-ft-optimized-1218 是 ModelScope 魔搭社区上的 7.2B 参数text-generation模型，采用 apache-2.0 许可，可用 deploy_task text/emb、lmdeploy 0.9.1、lmdeploy_turbomind 0.9.1 部署。

- **Repository**: AI-ModelScope/mistral-ft-optimized-1218
- **License**: apache-2.0
- **Tasks**: text-generation
- **Parameters**: 7.2B
- **Inference backends**: deploy_task text/emb, lmdeploy 0.9.1, lmdeploy_turbomind 0.9.1, sglang 0.5.2, vllm 0.9.2
- **Downloads**: 64
- **Stars**: 0
- **Last updated**: 2023-12-25

Source: https://www.modelscope.cn/models/AI-ModelScope/mistral-ft-optimized-1218

---

This model is intended to be a strong base suitable for downstream fine-tuning on a variety of tasks. Based on our internal evaluations, we believe it's one of the strongest models for most down-stream tasks. You can read more about our development and evaluation process [here](https://openpipe.ai/blog/mistral-7b-fine-tune-optimized).