---
quantized_by: bartowski
pipeline_tag: text-generation
tags:
- therapeutics
- drug-development
base_model: google/txgemma-9b-chat
language:
- en
extra_gated_heading: Access TxGemma on Hugging Face
license_name: health-ai-developer-foundations
license: other
extra_gated_prompt: To access TxGemma on Hugging Face, you're required to review and
  agree to [Health AI Developer Foundation's terms of use](https://developers.google.com/health-ai-developer-foundations/terms).
  To do this, please ensure you're logged in to Hugging Face and click below. Requests
  are processed immediately.
extra_gated_button_content: Acknowledge license
base_model_relation: quantized
license_link: https://developers.google.com/health-ai-developer-foundations/terms
---
## 💫 Community Model> txgemma 9b chat by Google

*👾 [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:** [google](https://huggingface.co/google)<br>
**Original model**: [txgemma-9b-chat](https://huggingface.co/google/txgemma-9b-chat)<br>
**GGUF quantization:** provided by [bartowski](https://huggingface.co/bartowski) based on `llama.cpp` release [b4944](https://github.com/ggerganov/llama.cpp/releases/tag/b4944)<br>

## Technical Details

Supports a context length of 8192 tokens.

TxGemma models are designed to process and understand information related to various therapeutic modalities and targets, including small molecules, proteins, nucleic acids, diseases, and cell lines.

Tuned for conversational and multi-turn capabilities.

## 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.

## Disclaimers

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