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  sdk: static
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  pinned: true
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  tags:
 
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  - function calling
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  - long context
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  - mistral
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  - SFT
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  - fine-tuning
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  ---
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- *last updated Dec 7th 2023*
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  ## About
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  Trelis Research provides:
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- - Function-calling models
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  - Advanced fine-tuning scripts.
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  - Advanced inference guides.
 
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  ## Function-calling Models and Datasets
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- [Learn more here](https://trelis.com/function-calling/)
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- - Fine-tuned models for function calling - from 1.3B to 70B in size, incl. Yi, Deepseek, Llama and more
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- - [Dataset to fine-tune models for function calling](https://huggingface.co/datasets/Trelis/function_calling_v3)
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- - Scripts to fine-tune models for function calling and structured responses
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  ## ADVANCED Fine-tuning Scripts
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- [Learn more here](https://trelis.com/advanced-fine-tuning-scripts/)
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  1. Unsupervised + Supervised Fine-tuning Notebooks
 
 
 
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  1. Q&A Dataset Preparation + Cleaning Scripts
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  1. Scripts to create and use Embeddings
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  1. Quantization Scripts
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- 1. Chat fine-tuning Scripts
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- 2. Function calling fine-tuning
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  ## ADVANCED Inference
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- - Server setup and inference guide for open source models.
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- - Inference for function calling.
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- - [Video: Run Llama 2 on AWS](https://youtu.be/Ror2xOOA-VE)
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- - [Video: Deploy a Llama API in 5 clicks](https://youtu.be/dJ69gY0qRbg)
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- - [Learn more here](https://trelis.com/enterprise-server-api-and-inference-guide/)
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- ## One-click LLM API/Server Templates
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- - [Runpod affiliate link](https://tinyurl.com/yjxbdc9w)
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- - [Llama 2 70B](https://tinyurl.com/2szykc6m)
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- ## Summarise-Me.com
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- - [Summarise PDFs and websites up to 60,000 words](https://Summarise-Me.com)
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- ## Other Top Tutorials
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- - [Run Code Llama on a Mac with an M1 Chip](https://www.youtube.com/watch?v=a1JlzUzHL-I)
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- - [Run Llama 2 with 32k Context Length](https://www.youtube.com/watch?v=ELax81LjFhU)
 
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  sdk: static
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  pinned: true
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  tags:
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+ - inference
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  - function calling
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  - long context
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  - mistral
 
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  - SFT
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  - fine-tuning
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  ---
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+ *last updated Dec 20th 2023*
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  ## About
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  Trelis Research provides:
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+ - Function-calling models.
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  - Advanced fine-tuning scripts.
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  - Advanced inference guides.
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+ - One click LLM API templates
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  ## Function-calling Models and Datasets
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+ [Get access here](https://trelis.com/function-calling/)
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+ - Fine-tuned models for function calling - from 1.3B to 70B in size, incl. Yi, Deepseek, Llama and more. [Collection here](https://huggingface.co/collections/Trelis/function-calling-v3-657199ecbe378693925c7915)
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+ - Dataset to fine-tune models for function calling. [Access here](https://huggingface.co/datasets/Trelis/function_calling_v3)
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+ - Scripts to fine-tune models for function calling and structured responses.
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  ## ADVANCED Fine-tuning Scripts
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+ [Get access here](https://trelis.com/advanced-fine-tuning-scripts/)
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  1. Unsupervised + Supervised Fine-tuning Notebooks
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+ 1. Chat fine-tuning scripts
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+ 1. Long context fine-tuning scripts
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+ 1. Function calling fine-tuning
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  1. Q&A Dataset Preparation + Cleaning Scripts
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  1. Scripts to create and use Embeddings
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  1. Quantization Scripts
 
 
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  ## ADVANCED Inference
 
 
 
 
 
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+ [Get access here](https://trelis.com/enterprise-server-api-and-inference-guide/)
 
 
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+ - Server setup, API setup and inference guide for open source models.
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+ - Inference for function calling.
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+ ## One-click LLM API/Server Templates
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+ - Check out the full list [here](https://github.com/TrelisResearch/one-click-llms)
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+ - Includes Llama 70B, Mistral 7B, Mixtral 8x7B and many more