---
title: Mistral-Nemo-2407-Claude-Instruct-hf
canonical_url: "https://www.modelscope.cn/models/LLM-Research/Mistral-Nemo-2407-Claude-Instruct-hf"
md_url: "https://www.modelscope.cn/models/LLM-Research/Mistral-Nemo-2407-Claude-Instruct-hf.md"
repository: LLM-Research/Mistral-Nemo-2407-Claude-Instruct-hf
last_updated: 2024-09-10
license: apache-2.0
pipeline_tag: text-generation
tasks:
  - text-generation
model_type:
  - mistral
architectures:
  - MistralForCausalLM
base_model:
  - unsloth/mistral-nemo-instruct-2407-bnb-4bit
base_model_relation: finetune
library_name:
  - 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: 2137
stars: 0
tags:
  - text-generation-inference
  - transformers
  - unsloth
  - mistral
  - trl
  - sft
---

# Mistral-Nemo-2407-Claude-Instruct-hf

> Mistral-Nemo-2407-Claude-Instruct-hf - LLM-Research 在 ModelScope 开源的模型。Developed by: leafspark License: apache-2.0 Finetuned from model : unsloth/mistral-nemo-instruct-2407-bnb-4bit

LLM-Research/Mistral-Nemo-2407-Claude-Instruct-hf 是 ModelScope 魔搭社区上的text-generation模型，采用 apache-2.0 许可，基于 unsloth/mistral-nemo-instruct-2407-bnb-4bit 构建，可用 deploy_task text/emb、lmdeploy 0.9.1、lmdeploy_turbomind 0.9.1 部署。

- **Repository**: LLM-Research/Mistral-Nemo-2407-Claude-Instruct-hf
- **License**: apache-2.0
- **Tasks**: text-generation
- **Base model**: unsloth/mistral-nemo-instruct-2407-bnb-4bit
- **Inference backends**: deploy_task text/emb, lmdeploy 0.9.1, lmdeploy_turbomind 0.9.1, sglang 0.5.2, vllm 0.9.2
- **Tags**: text-generation-inference, transformers, unsloth, mistral, trl, sft
- **Downloads**: 2137
- **Stars**: 0
- **Last updated**: 2024-09-10

Source: https://www.modelscope.cn/models/LLM-Research/Mistral-Nemo-2407-Claude-Instruct-hf

---

# Uploaded  model

- **Developed by:** leafspark
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-nemo-instruct-2407-bnb-4bit

This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.

[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)