README.md

---
base_model: internlm/internlm2_5-1_8b-chat
license: other
pipeline_tag: text-generation
quantized_by: bartowski
---
## 💫 Community Model> internlm2_5 1_8b chat by Internlm

*👾 [LM Studio](https://lmstudio.ai) Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on [Discord](https://discord.gg/aPQfnNkxGC)*.

**Model creator:** [internlm](https://huggingface.co/internlm)<br>
**Original model**: [internlm2_5-1_8b-chat](https://huggingface.co/internlm/internlm2_5-1_8b-chat)<br>
**GGUF quantization:** provided by [bartowski](https://huggingface.co/bartowski) based on `llama.cpp` release [b3561](https://github.com/ggerganov/llama.cpp/releases/tag/b3561)<br>

## Model Summary:
InternLM has continued their 2.5 series of models with a 1.8b chat model release. This model has advanced math and reasoning abilities, and surpasses other models in this size category.<br>Additionally, 2.5 features strong tool use and instruction following. It can be used with the InternLM tool [MindSearch](https://github.com/InternLM/MindSearch).<br>

## Prompt Template:

Choose the `ChatML` preset in your LM Studio.
Under the hood, the model will see a prompt that's formatted like so:

```
<|im_start|>system
{system_prompt}<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant
```

## Technical Details
This 1.8B model is great for edge compute or mobile devices, and achieves great scores for its size.

You can view the results and more comparisons on OpenCompass [here](https://rank.opencompass.org.cn/)


## Special thanks

🙏 Special thanks to [Georgi Gerganov](https://github.com/ggerganov) and the whole team working on [llama.cpp](https://github.com/ggerganov/llama.cpp/) for making all of this possible.

🙏 Special thanks to [Kalomaze](https://github.com/kalomaze) and [Dampf](https://github.com/Dampfinchen) for their work on the dataset (linked [here](https://gist.github.com/bartowski1182/eb213dccb3571f863da82e99418f81e8)) that was used for calculating the imatrix for all sizes.

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