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---
license: apache-2.0
quantized_by: bartowski
pipeline_tag: text-generation
lm_studio:
param_count: 7b
use_case: general
release_date: 22-05-2024
model_creator: mistralai
prompt_template: Mistral Instruct
system_prompt: none
base_model: mistral
original_repo: mistralai/Mistral-7B-Instruct-v0.3
base_model: mistralai/Mistral-7B-Instruct-v0.3
---
## ๐ซ Community Model> Mistral 7B Instruct v0.3 by Mistral AI
*๐พ [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:** [Mistral AI](https://huggingface.co/mistralai)<br>
**Original model**: [Mistral-7B-Instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3)<br>
**GGUF quantization:** provided by [bartowski](https://huggingface.co/bartowski) based on `llama.cpp` release [b2965](https://github.com/ggerganov/llama.cpp/releases/tag/b2965)<br>
## Model Summary:
Mistral 7B Instruct is an excellent high quality model tuned for instruction following, and release v0.3 is no different.<br>
This iteration features function calling support, which should extend the use case further and allow for a more useful assistant.<br>
## Prompt template:
Choose the `Mistral Instruct` preset in your LM Studio.
Under the hood, the model will see a prompt that's formatted like so:
```
<s>[INST] {prompt} [/INST]</s>
```
## Technical Details
Version 0.3 has a few changes over release 0.2, including:
- An extended vocabulary (32000 -> 32768)
- A new tokenizer
- Support for function calling
Function calling support is made possible through the new extended vocabulary, including tokens TOOL_CALLS, AVAILABLE_TOOLS, and TOOL_RESULTS.
This model maintains the v0.2 context length of 32768
## Special thanks
๐ 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.
๐ Special thanks to [Kalomaze](https://github.com/kalomaze), [Dampf](https://github.com/Dampfinchen) and [turboderp](https://github.com/turboderp/) for their work on the dataset (linked [here](https://gist.github.com/bartowski1182/b6ac44691e994344625687afe3263b3a)) that was used for calculating the imatrix for all sizes.
## Disclaimers
LM Studio is not the creator, originator, or owner of any Model featured in the Community Model Program. Each Community Model is created and provided by third parties. LM Studio does not endorse, support, represent or guarantee the completeness, truthfulness, accuracy, or reliability of any Community Model. You understand that Community Models can produce content that might be offensive, harmful, inaccurate or otherwise inappropriate, or deceptive. Each Community Model is the sole responsibility of the person or entity who originated such Model. LM Studio may not monitor or control the Community Models and cannot, and does not, take responsibility for any such Model. LM Studio disclaims all warranties or guarantees about the accuracy, reliability or benefits of the Community Models. LM Studio further disclaims any warranty that the Community Model will meet your requirements, be secure, uninterrupted or available at any time or location, or error-free, viruses-free, or that any errors will be corrected, or otherwise. You will be solely responsible for any damage resulting from your use of or access to the Community Models, your downloading of any Community Model, or use of any other Community Model provided by or through LM Studio. |