---
title: Hercules-Mini-1.8B
canonical_url: "https://www.modelscope.cn/models/QwenCollection/Hercules-Mini-1.8B"
md_url: "https://www.modelscope.cn/models/QwenCollection/Hercules-Mini-1.8B.md"
repository: QwenCollection/Hercules-Mini-1.8B
last_updated: 2024-11-21
license: other
pipeline_tag: text-generation
tasks:
  - text-generation
model_type:
  - qwen2
architectures:
  - Qwen2ForCausalLM
parameters: 1.8B
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: 2232
stars: 1
---

# Hercules-Mini-1.8B

> Hercules-Mini-1.8B - QwenCollection 在 ModelScope 开源的模型。We fine-tuned Qwen1.5-1.8B on Locutusque's Hercules-v4.

QwenCollection/Hercules-Mini-1.8B 是 ModelScope 魔搭社区上的 1.8B 参数text-generation模型，采用 other 许可，可用 deploy_task text/emb、lmdeploy 0.9.1、lmdeploy_turbomind 0.9.1 部署。

- **Repository**: QwenCollection/Hercules-Mini-1.8B
- **License**: other
- **Tasks**: text-generation
- **Parameters**: 1.8B
- **Inference backends**: deploy_task text/emb, lmdeploy 0.9.1, lmdeploy_turbomind 0.9.1, sglang 0.5.2, vllm 0.9.2
- **Downloads**: 2232
- **Stars**: 1
- **Last updated**: 2024-11-21

Source: https://www.modelscope.cn/models/QwenCollection/Hercules-Mini-1.8B

---

# Hercules-Mini-1.8B 

<!-- Provide a quick summary of what the model is/does. -->
We fine-tuned Qwen1.5-1.8B on Locutusque's Hercules-v4.


## Model Details

### Model Description

<!-- Provide a longer summary of what this model is. -->

This model has capabilities in math, coding, function calling, roleplay, and more. We fine-tuned it using 700,000 examples of Hercules-v4. 

- **Developed by:** M4-ai
- **Language(s) (NLP):** English and maybe Chinese
- **License:** tongyi-qianwen license
- **Finetuned from model:** [Qwen1.5-1.8B](https://huggingface.co/Qwen/Qwen1.5-1.8B)

## Uses

<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->

General purpose assistant, question answering, chain-of-thought, etc..

## Bias, Risks, and Limitations

<!-- This section is meant to convey both technical and sociotechnical limitations. -->

The eos token was not setup properly, so to prevent infinite generation you'll need to implement a stopping criteria when the model generates the <|im_end|> token. 

### Recommendations

<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->

Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.

## Evaluation
Coming soon


## Training Details

### Training Data

<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
https://huggingface.co/datasets/Locutusque/hercules-v4.0


#### Training Hyperparameters

- **Training regime:** bf16 non-mixed precision
## Technical Specifications

#### Hardware

We used 8 Kaggle TPUs, and we trained at a global batch size of 256 and sequence length of 1536

## Contributions

Thanks to @Tonic, @aloobun, @fhai50032, and @Locutusque for their contributions to this model.